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Created April 24, 2020 21:04
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training.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%%capture\n",
"#@title\n",
"# Install tensorflow and pycocotools\n",
"!pip install pytype\n",
"\n",
"import os\n",
"import sys\n",
"import tensorflow.compat.v1 as tf\n",
"\n",
"# Download source code.\n",
"if \"efficientdet\" not in os.getcwd():\n",
" !git clone --depth 1 https://github.com/google/automl\n",
" os.chdir('automl/efficientdet')\n",
" sys.path.append('.')\n",
"else:\n",
" !git pull"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--2020-04-24 20:51:36-- https://storage.googleapis.com/cloud-tpu-checkpoints/efficientdet/coco/efficientdet-d6.tar.gz\n",
"Resolving storage.googleapis.com (storage.googleapis.com)... 216.58.202.176, 2800:3f0:4001:816::2010\n",
"Connecting to storage.googleapis.com (storage.googleapis.com)|216.58.202.176|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 379835117 (362M) [application/octet-stream]\n",
"Saving to: ‘efficientdet-d6.tar.gz’\n",
"\n",
"efficientdet-d6.tar 100%[===================>] 362.24M 22.3MB/s in 16s \n",
"\n",
"2020-04-24 20:51:53 (22.3 MB/s) - ‘efficientdet-d6.tar.gz’ saved [379835117/379835117]\n",
"\n",
"Use model in /home/automl/efficientdet/efficientdet-d6\n"
]
}
],
"source": [
"MODEL = 'efficientdet-d6' #@param\n",
"\n",
"def download(m):\n",
" if m not in os.listdir():\n",
" !wget https://storage.googleapis.com/cloud-tpu-checkpoints/efficientdet/coco/{m}.tar.gz\n",
" !tar zxf {m}.tar.gz\n",
" ckpt_path = os.path.join(os.getcwd(), m)\n",
" return ckpt_path\n",
"\n",
"# Download checkpoint.\n",
"ckpt_path = download(MODEL)\n",
"print('Use model in {}'.format(ckpt_path))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Build map: {'screw': 1, 'flat': 2, 'board_screw': 3, 'connector': 4, 'power_screw': 5, 'large_tape': 6}\n",
"Successfully created the TFRecords: /home/automl/efficientdet/train.record\n",
"Build map: {'screw': 1, 'flat': 2, 'board_screw': 3, 'connector': 4, 'power_screw': 5, 'large_tape': 6}\n",
"Successfully created the TFRecords: /home/automl/efficientdet/test.record\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"train_df = pd.read_csv(f'/home/images/train_labels.csv')\n",
"categories = train_df['class'].unique()\n",
"end = '\\n'\n",
"s = ' '\n",
"out = ''\n",
"class_map = {}\n",
"for ID, name in enumerate(categories):\n",
" out += 'item' + s + '{' + end\n",
" out += s*2 + 'id:' + ' ' + (str(ID+1)) + end\n",
" out += s*2 + 'name:' + ' ' + '\\'' + name + '\\'' + end\n",
" out += '}' + end*2\n",
" class_map[name] = ID+1\n",
"with open(f'labelmap.pbtxt', 'w') as f:\n",
" f.write(out)\n",
"\n",
"!cp -r ../../utils/dataset_util.py .\n",
"!cp ../../generate_tfrecord.py .\n",
"!python generate_tfrecord.py \\\n",
" --csv_input=/home/images/train_labels.csv \\\n",
" --image_dir=/home/images/train \\\n",
" --output_path=train.record\n",
" \n",
"!python generate_tfrecord.py \\\n",
" --csv_input=/home/images/test_labels.csv \\\n",
" --image_dir=/home/images/test \\\n",
" --output_path=test.record"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--2020-04-24 20:52:34-- https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b6.tar.gz\n",
"Resolving storage.googleapis.com (storage.googleapis.com)... 216.58.202.176, 2800:3f0:4001:816::2010\n",
"Connecting to storage.googleapis.com (storage.googleapis.com)|216.58.202.176|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 319358010 (305M) [application/gzip]\n",
"Saving to: ‘efficientnet-b6.tar.gz’\n",
"\n",
"efficientnet-b6.tar 100%[===================>] 304.56M 21.9MB/s in 13s \n",
"\n",
"2020-04-24 20:52:47 (22.9 MB/s) - ‘efficientnet-b6.tar.gz’ saved [319358010/319358010]\n",
"\n",
"mkdir: cannot create directory ‘/tmp/model_dir’: File exists\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/compat/v2_compat.py:96: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"non-resource variables are not supported in the long term\n",
"WARNING:tensorflow:From main.py:227: The name tf.estimator.tpu.TPUConfig is deprecated. Please use tf.compat.v1.estimator.tpu.TPUConfig instead.\n",
"\n",
"W0424 20:52:52.092886 140225883285312 module_wrapper.py:138] From main.py:227: The name tf.estimator.tpu.TPUConfig is deprecated. Please use tf.compat.v1.estimator.tpu.TPUConfig instead.\n",
"\n",
"WARNING:tensorflow:From main.py:232: The name tf.estimator.tpu.InputPipelineConfig is deprecated. Please use tf.compat.v1.estimator.tpu.InputPipelineConfig instead.\n",
"\n",
"W0424 20:52:52.093012 140225883285312 module_wrapper.py:138] From main.py:232: The name tf.estimator.tpu.InputPipelineConfig is deprecated. Please use tf.compat.v1.estimator.tpu.InputPipelineConfig instead.\n",
"\n",
"WARNING:tensorflow:From main.py:235: The name tf.estimator.tpu.RunConfig is deprecated. Please use tf.compat.v1.estimator.tpu.RunConfig instead.\n",
"\n",
"W0424 20:52:52.093114 140225883285312 module_wrapper.py:138] From main.py:235: The name tf.estimator.tpu.RunConfig is deprecated. Please use tf.compat.v1.estimator.tpu.RunConfig instead.\n",
"\n",
"I0424 20:52:52.093232 140225883285312 main.py:247] {'name': 'efficientdet-d6', 'act_type': 'swish', 'image_size': 1280, 'input_rand_hflip': True, 'train_scale_min': 0.1, 'train_scale_max': 2.0, 'autoaugment_policy': None, 'num_classes': 20, 'skip_crowd_during_training': True, 'min_level': 3, 'max_level': 7, 'num_scales': 3, 'aspect_ratios': [(1.0, 1.0), (1.4, 0.7), (0.7, 1.4)], 'anchor_scale': 4.0, 'is_training_bn': True, 'momentum': 0.9, 'learning_rate': 0.08, 'lr_warmup_init': 0.008, 'lr_warmup_epoch': 1.0, 'first_lr_drop_epoch': 200.0, 'second_lr_drop_epoch': 250.0, 'poly_lr_power': 0.9, 'clip_gradients_norm': 10.0, 'num_epochs': 1, 'data_format': 'channels_last', 'alpha': 0.25, 'gamma': 1.5, 'delta': 0.1, 'box_loss_weight': 50.0, 'weight_decay': 4e-05, 'use_bfloat16': False, 'use_tpu': False, 'box_class_repeats': 5, 'fpn_cell_repeats': 8, 'fpn_num_filters': 384, 'separable_conv': True, 'apply_bn_for_resampling': True, 'conv_after_downsample': False, 'conv_bn_act_pattern': False, 'use_native_resize_op': False, 'pooling_type': None, 'fpn_name': 'bifpn_sum', 'fpn_weight_method': None, 'fpn_config': None, 'survival_prob': None, 'lr_decay_method': 'cosine', 'moving_average_decay': 0, 'ckpt_var_scope': None, 'var_exclude_expr': '.*/class-predict/.*', 'backbone_name': 'efficientnet-b6', 'backbone_config': None, 'resnet_depth': 50, 'model_name': 'efficientdet-d6', 'iterations_per_loop': 100, 'model_dir': '/tmp/model_dir/efficientdet-d6-scratch', 'num_shards': 8, 'num_examples_per_epoch': 56, 'backbone_ckpt': 'efficientnet-b6', 'ckpt': None, 'val_json_file': None, 'testdev_dir': None, 'mode': 'train_and_eval'}\n",
"I0424 20:52:52.093304 140225883285312 main.py:352] Starting training cycle, epoch: 0.\n",
"WARNING:tensorflow:From main.py:353: The name tf.estimator.tpu.TPUEstimator is deprecated. Please use tf.compat.v1.estimator.tpu.TPUEstimator instead.\n",
"\n",
"W0424 20:52:52.093938 140225883285312 module_wrapper.py:138] From main.py:353: The name tf.estimator.tpu.TPUEstimator is deprecated. Please use tf.compat.v1.estimator.tpu.TPUEstimator instead.\n",
"\n",
"INFO:tensorflow:Using config: {'_model_dir': '/tmp/model_dir/efficientdet-d6-scratch', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true\n",
", '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': ClusterSpec({}), '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=100, num_shards=8, num_cores_per_replica=None, per_host_input_for_training=3, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}\n",
"I0424 20:52:52.094210 140225883285312 estimator.py:191] Using config: {'_model_dir': '/tmp/model_dir/efficientdet-d6-scratch', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true\n",
", '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': ClusterSpec({}), '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=100, num_shards=8, num_cores_per_replica=None, per_host_input_for_training=3, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}\n",
"INFO:tensorflow:_TPUContext: eval_on_tpu True\n",
"I0424 20:52:52.094689 140225883285312 tpu_context.py:216] _TPUContext: eval_on_tpu True\n",
"WARNING:tensorflow:eval_on_tpu ignored because use_tpu is False.\n",
"W0424 20:52:52.095015 140225883285312 tpu_context.py:218] eval_on_tpu ignored because use_tpu is False.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/resource_variable_ops.py:1666: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"If using Keras pass *_constraint arguments to layers.\n",
"W0424 20:52:52.098091 140225883285312 deprecation.py:506] From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/resource_variable_ops.py:1666: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"If using Keras pass *_constraint arguments to layers.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.\n",
"W0424 20:52:52.098291 140225883285312 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.\n",
"WARNING:tensorflow:From /home/automl/efficientdet/dataloader.py:330: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.experimental.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_deterministic`.\n",
"W0424 20:52:52.130593 140225883285312 deprecation.py:323] From /home/automl/efficientdet/dataloader.py:330: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.experimental.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_deterministic`.\n",
"2020-04-24 20:52:53.034593: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n",
"2020-04-24 20:52:53.046702: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2020-04-24 20:52:53.046973: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: \n",
"pciBusID: 0000:01:00.0 name: GeForce RTX 2080 Ti computeCapability: 7.5\n",
"coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s\n",
"2020-04-24 20:52:53.047119: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
"2020-04-24 20:52:53.078488: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
"2020-04-24 20:52:53.100501: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
"2020-04-24 20:52:53.104678: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
"2020-04-24 20:52:53.143658: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
"2020-04-24 20:52:53.149240: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
"2020-04-24 20:52:53.221747: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
"2020-04-24 20:52:53.222044: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2020-04-24 20:52:53.223578: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2020-04-24 20:52:53.224871: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0\n",
"WARNING:tensorflow:From /home/automl/efficientdet/dataloader.py:74: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.cast` instead.\n",
"W0424 20:52:54.035563 140225883285312 deprecation.py:323] From /home/automl/efficientdet/dataloader.py:74: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.cast` instead.\n",
"WARNING:tensorflow:From /home/automl/efficientdet/dataloader.py:80: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.cast` instead.\n",
"W0424 20:52:54.039082 140225883285312 deprecation.py:323] From /home/automl/efficientdet/dataloader.py:80: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.cast` instead.\n",
"INFO:tensorflow:Calling model_fn.\n",
"I0424 20:52:57.164178 140225883285312 estimator.py:1169] Calling model_fn.\n",
"INFO:tensorflow:Running train on CPU/GPU\n",
"I0424 20:52:57.164305 140225883285312 tpu_estimator.py:3171] Running train on CPU/GPU\n",
"I0424 20:52:57.164640 140225883285312 efficientdet_arch.py:679] {\n",
" \"name\": \"efficientdet-d6\",\n",
" \"act_type\": \"swish\",\n",
" \"image_size\": 1280,\n",
" \"input_rand_hflip\": true,\n",
" \"train_scale_min\": 0.1,\n",
" \"train_scale_max\": 2.0,\n",
" \"autoaugment_policy\": null,\n",
" \"num_classes\": 20,\n",
" \"skip_crowd_during_training\": true,\n",
" \"min_level\": 3,\n",
" \"max_level\": 7,\n",
" \"num_scales\": 3,\n",
" \"aspect_ratios\": [\n",
" [\n",
" 1.0,\n",
" 1.0\n",
" ],\n",
" [\n",
" 1.4,\n",
" 0.7\n",
" ],\n",
" [\n",
" 0.7,\n",
" 1.4\n",
" ]\n",
" ],\n",
" \"anchor_scale\": 4.0,\n",
" \"is_training_bn\": true,\n",
" \"momentum\": 0.9,\n",
" \"learning_rate\": 0.08,\n",
" \"lr_warmup_init\": 0.008,\n",
" \"lr_warmup_epoch\": 1.0,\n",
" \"first_lr_drop_epoch\": 200.0,\n",
" \"second_lr_drop_epoch\": 250.0,\n",
" \"poly_lr_power\": 0.9,\n",
" \"clip_gradients_norm\": 10.0,\n",
" \"num_epochs\": 1,\n",
" \"data_format\": \"channels_last\",\n",
" \"alpha\": 0.25,\n",
" \"gamma\": 1.5,\n",
" \"delta\": 0.1,\n",
" \"box_loss_weight\": 50.0,\n",
" \"weight_decay\": 4e-05,\n",
" \"use_bfloat16\": false,\n",
" \"use_tpu\": false,\n",
" \"box_class_repeats\": 5,\n",
" \"fpn_cell_repeats\": 8,\n",
" \"fpn_num_filters\": 384,\n",
" \"separable_conv\": true,\n",
" \"apply_bn_for_resampling\": true,\n",
" \"conv_after_downsample\": false,\n",
" \"conv_bn_act_pattern\": false,\n",
" \"use_native_resize_op\": false,\n",
" \"pooling_type\": null,\n",
" \"fpn_name\": \"bifpn_sum\",\n",
" \"fpn_weight_method\": null,\n",
" \"fpn_config\": null,\n",
" \"survival_prob\": null,\n",
" \"lr_decay_method\": \"cosine\",\n",
" \"moving_average_decay\": 0,\n",
" \"ckpt_var_scope\": null,\n",
" \"var_exclude_expr\": \".*/class-predict/.*\",\n",
" \"backbone_name\": \"efficientnet-b6\",\n",
" \"backbone_config\": null,\n",
" \"resnet_depth\": 50,\n",
" \"model_name\": \"efficientdet-d6\",\n",
" \"iterations_per_loop\": 100,\n",
" \"model_dir\": \"/tmp/model_dir/efficientdet-d6-scratch\",\n",
" \"num_shards\": 8,\n",
" \"num_examples_per_epoch\": 56,\n",
" \"backbone_ckpt\": \"efficientnet-b6\",\n",
" \"ckpt\": null,\n",
" \"val_json_file\": null,\n",
" \"testdev_dir\": null,\n",
" \"mode\": \"train_and_eval\",\n",
" \"batch_size\": 8\n",
"}\n",
"I0424 20:52:57.165015 140225883285312 efficientnet_builder.py:224] global_params= GlobalParams(batch_norm_momentum=0.99, batch_norm_epsilon=0.001, dropout_rate=0.5, data_format='channels_last', num_classes=1000, width_coefficient=1.8, depth_coefficient=2.6, depth_divisor=8, min_depth=None, survival_prob=0.8, relu_fn=<tensorflow.python.ops.custom_gradient.Bind object at 0x7f88db69af60>, batch_norm=<class 'utils.BatchNormalization'>, use_se=True, local_pooling=None, condconv_num_experts=None, clip_projection_output=False, blocks_args=['r1_k3_s11_e1_i32_o16_se0.25', 'r2_k3_s22_e6_i16_o24_se0.25', 'r2_k5_s22_e6_i24_o40_se0.25', 'r3_k3_s22_e6_i40_o80_se0.25', 'r3_k5_s11_e6_i80_o112_se0.25', 'r4_k5_s22_e6_i112_o192_se0.25', 'r1_k3_s11_e6_i192_o320_se0.25'], fix_head_stem=None)\n",
"I0424 20:52:57.174495 140225883285312 efficientnet_model.py:151] round_filter input=32 output=56\n",
"I0424 20:52:57.179854 140225883285312 efficientnet_model.py:151] round_filter input=32 output=56\n",
"I0424 20:52:57.179917 140225883285312 efficientnet_model.py:151] round_filter input=16 output=32\n",
"I0424 20:52:57.228472 140225883285312 efficientnet_model.py:151] round_filter input=16 output=32\n",
"I0424 20:52:57.228535 140225883285312 efficientnet_model.py:151] round_filter input=24 output=40\n",
"I0424 20:52:57.323900 140225883285312 efficientnet_model.py:151] round_filter input=24 output=40\n",
"I0424 20:52:57.323964 140225883285312 efficientnet_model.py:151] round_filter input=40 output=72\n",
"I0424 20:52:57.419775 140225883285312 efficientnet_model.py:151] round_filter input=40 output=72\n",
"I0424 20:52:57.419842 140225883285312 efficientnet_model.py:151] round_filter input=80 output=144\n",
"I0424 20:52:57.547228 140225883285312 efficientnet_model.py:151] round_filter input=80 output=144\n",
"I0424 20:52:57.547292 140225883285312 efficientnet_model.py:151] round_filter input=112 output=200\n",
"I0424 20:52:57.675118 140225883285312 efficientnet_model.py:151] round_filter input=112 output=200\n",
"I0424 20:52:57.675183 140225883285312 efficientnet_model.py:151] round_filter input=192 output=344\n",
"I0424 20:52:57.850962 140225883285312 efficientnet_model.py:151] round_filter input=192 output=344\n",
"I0424 20:52:57.851028 140225883285312 efficientnet_model.py:151] round_filter input=320 output=576\n",
"I0424 20:52:57.899322 140225883285312 efficientnet_model.py:151] round_filter input=1280 output=2304\n",
"I0424 20:52:59.828046 140225883285312 api.py:587] Built stem layers with output shape: (8, 640, 640, 56)\n",
"I0424 20:53:01.414235 140225883285312 api.py:587] block_0 survival_prob: 1.0\n",
"I0424 20:53:01.847119 140225883285312 api.py:587] Block input: efficientnet-b6/model/stem/IdentityN:0 shape: (8, 640, 640, 56)\n",
"I0424 20:53:01.854312 140225883285312 api.py:587] Block input depth: 56 output depth: 32\n",
"I0424 20:53:01.881444 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_0/IdentityN:0 shape: (8, 640, 640, 56)\n",
"I0424 20:53:02.005786 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 56)\n",
"I0424 20:53:02.031870 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_0/Identity_1:0 shape: (8, 640, 640, 32)\n",
"I0424 20:53:02.069522 140225883285312 api.py:587] block_1 survival_prob: 0.9955555555555555\n",
"I0424 20:53:02.076448 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_0/Identity_1:0 shape: (8, 640, 640, 32)\n",
"I0424 20:53:02.083151 140225883285312 api.py:587] Block input depth: 32 output depth: 32\n",
"I0424 20:53:02.110272 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_1/IdentityN:0 shape: (8, 640, 640, 32)\n",
"I0424 20:53:02.133236 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 32)\n",
"WARNING:tensorflow:From /home/automl/efficientdet/utils.py:310: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Deprecated in favor of operator or tf.math.divide.\n",
"W0424 20:53:02.249940 140225883285312 deprecation.py:323] From /home/automl/efficientdet/utils.py:310: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Deprecated in favor of operator or tf.math.divide.\n",
"I0424 20:53:02.258752 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_1/Add_1:0 shape: (8, 640, 640, 32)\n",
"I0424 20:53:02.272501 140225883285312 api.py:587] block_2 survival_prob: 0.9911111111111112\n",
"I0424 20:53:02.281783 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_1/Add_1:0 shape: (8, 640, 640, 32)\n",
"I0424 20:53:02.289463 140225883285312 api.py:587] Block input depth: 32 output depth: 32\n",
"I0424 20:53:02.316692 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_2/IdentityN:0 shape: (8, 640, 640, 32)\n",
"I0424 20:53:02.339810 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 32)\n",
"I0424 20:53:02.370563 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_2/Add_1:0 shape: (8, 640, 640, 32)\n",
"I0424 20:53:02.378206 140225883285312 api.py:587] block_3 survival_prob: 0.9866666666666667\n",
"I0424 20:53:02.385040 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_2/Add_1:0 shape: (8, 640, 640, 32)\n",
"I0424 20:53:02.391708 140225883285312 api.py:587] Block input depth: 32 output depth: 40\n",
"I0424 20:53:02.418706 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_3/IdentityN:0 shape: (8, 640, 640, 192)\n",
"I0424 20:53:02.445598 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_3/IdentityN_1:0 shape: (8, 320, 320, 192)\n",
"I0424 20:53:02.468976 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 192)\n",
"I0424 20:53:02.495049 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_3/Identity_2:0 shape: (8, 320, 320, 40)\n",
"I0424 20:53:02.502557 140225883285312 api.py:587] block_4 survival_prob: 0.9822222222222222\n",
"I0424 20:53:02.509750 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_3/Identity_2:0 shape: (8, 320, 320, 40)\n",
"I0424 20:53:02.516431 140225883285312 api.py:587] Block input depth: 40 output depth: 40\n",
"I0424 20:53:02.543112 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_4/IdentityN:0 shape: (8, 320, 320, 240)\n",
"I0424 20:53:02.569994 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_4/IdentityN_1:0 shape: (8, 320, 320, 240)\n",
"I0424 20:53:02.593549 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 240)\n",
"I0424 20:53:02.624322 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_4/Add_1:0 shape: (8, 320, 320, 40)\n",
"I0424 20:53:02.631852 140225883285312 api.py:587] block_5 survival_prob: 0.9777777777777777\n",
"I0424 20:53:02.638693 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_4/Add_1:0 shape: (8, 320, 320, 40)\n",
"I0424 20:53:02.645382 140225883285312 api.py:587] Block input depth: 40 output depth: 40\n",
"I0424 20:53:02.672430 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_5/IdentityN:0 shape: (8, 320, 320, 240)\n",
"I0424 20:53:02.699056 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_5/IdentityN_1:0 shape: (8, 320, 320, 240)\n",
"I0424 20:53:02.722609 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 240)\n",
"I0424 20:53:02.753068 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_5/Add_1:0 shape: (8, 320, 320, 40)\n",
"I0424 20:53:02.760699 140225883285312 api.py:587] block_6 survival_prob: 0.9733333333333334\n",
"I0424 20:53:02.767824 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_5/Add_1:0 shape: (8, 320, 320, 40)\n",
"I0424 20:53:02.774517 140225883285312 api.py:587] Block input depth: 40 output depth: 40\n",
"I0424 20:53:02.801395 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_6/IdentityN:0 shape: (8, 320, 320, 240)\n",
"I0424 20:53:02.828375 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_6/IdentityN_1:0 shape: (8, 320, 320, 240)\n",
"I0424 20:53:02.851652 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 240)\n",
"I0424 20:53:02.882970 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_6/Add_1:0 shape: (8, 320, 320, 40)\n",
"I0424 20:53:02.890498 140225883285312 api.py:587] block_7 survival_prob: 0.9688888888888889\n",
"I0424 20:53:02.897323 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_6/Add_1:0 shape: (8, 320, 320, 40)\n",
"I0424 20:53:02.904005 140225883285312 api.py:587] Block input depth: 40 output depth: 40\n",
"I0424 20:53:02.931204 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_7/IdentityN:0 shape: (8, 320, 320, 240)\n",
"I0424 20:53:02.957911 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_7/IdentityN_1:0 shape: (8, 320, 320, 240)\n",
"I0424 20:53:02.981655 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 240)\n",
"I0424 20:53:03.012199 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_7/Add_1:0 shape: (8, 320, 320, 40)\n",
"I0424 20:53:03.020080 140225883285312 api.py:587] block_8 survival_prob: 0.9644444444444444\n",
"I0424 20:53:03.026932 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_7/Add_1:0 shape: (8, 320, 320, 40)\n",
"I0424 20:53:03.033653 140225883285312 api.py:587] Block input depth: 40 output depth: 40\n",
"I0424 20:53:03.060570 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_8/IdentityN:0 shape: (8, 320, 320, 240)\n",
"I0424 20:53:03.087753 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_8/IdentityN_1:0 shape: (8, 320, 320, 240)\n",
"I0424 20:53:03.111145 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 240)\n",
"I0424 20:53:03.142790 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_8/Add_1:0 shape: (8, 320, 320, 40)\n",
"I0424 20:53:03.150405 140225883285312 api.py:587] block_9 survival_prob: 0.96\n",
"I0424 20:53:03.157252 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_8/Add_1:0 shape: (8, 320, 320, 40)\n",
"I0424 20:53:03.163952 140225883285312 api.py:587] Block input depth: 40 output depth: 72\n",
"I0424 20:53:03.191330 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_9/IdentityN:0 shape: (8, 320, 320, 240)\n",
"I0424 20:53:03.218793 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_9/IdentityN_1:0 shape: (8, 160, 160, 240)\n",
"I0424 20:53:03.242236 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 240)\n",
"I0424 20:53:03.268872 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_9/Identity_2:0 shape: (8, 160, 160, 72)\n",
"I0424 20:53:03.276402 140225883285312 api.py:587] block_10 survival_prob: 0.9555555555555556\n",
"I0424 20:53:03.283242 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_9/Identity_2:0 shape: (8, 160, 160, 72)\n",
"I0424 20:53:03.289942 140225883285312 api.py:587] Block input depth: 72 output depth: 72\n",
"I0424 20:53:03.317321 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_10/IdentityN:0 shape: (8, 160, 160, 432)\n",
"I0424 20:53:03.344242 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_10/IdentityN_1:0 shape: (8, 160, 160, 432)\n",
"I0424 20:53:03.368021 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 432)\n",
"I0424 20:53:03.398889 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_10/Add_1:0 shape: (8, 160, 160, 72)\n",
"I0424 20:53:03.406508 140225883285312 api.py:587] block_11 survival_prob: 0.9511111111111111\n",
"I0424 20:53:03.413357 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_10/Add_1:0 shape: (8, 160, 160, 72)\n",
"I0424 20:53:03.420460 140225883285312 api.py:587] Block input depth: 72 output depth: 72\n",
"I0424 20:53:03.447578 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_11/IdentityN:0 shape: (8, 160, 160, 432)\n",
"I0424 20:53:03.474869 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_11/IdentityN_1:0 shape: (8, 160, 160, 432)\n",
"I0424 20:53:03.498401 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 432)\n",
"I0424 20:53:03.529866 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_11/Add_1:0 shape: (8, 160, 160, 72)\n",
"I0424 20:53:03.537490 140225883285312 api.py:587] block_12 survival_prob: 0.9466666666666667\n",
"I0424 20:53:03.544357 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_11/Add_1:0 shape: (8, 160, 160, 72)\n",
"I0424 20:53:03.551032 140225883285312 api.py:587] Block input depth: 72 output depth: 72\n",
"I0424 20:53:03.578509 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_12/IdentityN:0 shape: (8, 160, 160, 432)\n",
"I0424 20:53:03.605644 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_12/IdentityN_1:0 shape: (8, 160, 160, 432)\n",
"I0424 20:53:03.629580 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 432)\n",
"I0424 20:53:03.661202 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_12/Add_1:0 shape: (8, 160, 160, 72)\n",
"I0424 20:53:03.668975 140225883285312 api.py:587] block_13 survival_prob: 0.9422222222222222\n",
"I0424 20:53:03.676064 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_12/Add_1:0 shape: (8, 160, 160, 72)\n",
"I0424 20:53:03.682741 140225883285312 api.py:587] Block input depth: 72 output depth: 72\n",
"I0424 20:53:03.709926 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_13/IdentityN:0 shape: (8, 160, 160, 432)\n",
"I0424 20:53:03.737342 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_13/IdentityN_1:0 shape: (8, 160, 160, 432)\n",
"I0424 20:53:03.760894 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 432)\n",
"I0424 20:53:03.792099 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_13/Add_1:0 shape: (8, 160, 160, 72)\n",
"I0424 20:53:03.799764 140225883285312 api.py:587] block_14 survival_prob: 0.9377777777777778\n",
"I0424 20:53:03.806611 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_13/Add_1:0 shape: (8, 160, 160, 72)\n",
"I0424 20:53:03.813318 140225883285312 api.py:587] Block input depth: 72 output depth: 72\n",
"I0424 20:53:03.841677 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_14/IdentityN:0 shape: (8, 160, 160, 432)\n",
"I0424 20:53:03.868859 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_14/IdentityN_1:0 shape: (8, 160, 160, 432)\n",
"I0424 20:53:03.892880 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 432)\n",
"I0424 20:53:03.924034 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_14/Add_1:0 shape: (8, 160, 160, 72)\n",
"I0424 20:53:03.931725 140225883285312 api.py:587] block_15 survival_prob: 0.9333333333333333\n",
"I0424 20:53:03.938577 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_14/Add_1:0 shape: (8, 160, 160, 72)\n",
"I0424 20:53:03.945273 140225883285312 api.py:587] Block input depth: 72 output depth: 144\n",
"I0424 20:53:03.972955 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_15/IdentityN:0 shape: (8, 160, 160, 432)\n",
"I0424 20:53:04.000179 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_15/IdentityN_1:0 shape: (8, 80, 80, 432)\n",
"I0424 20:53:04.024197 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 432)\n",
"I0424 20:53:04.050772 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_15/Identity_2:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.058334 140225883285312 api.py:587] block_16 survival_prob: 0.9288888888888889\n",
"I0424 20:53:04.065186 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_15/Identity_2:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.071899 140225883285312 api.py:587] Block input depth: 144 output depth: 144\n",
"I0424 20:53:04.099625 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_16/IdentityN:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.127133 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_16/IdentityN_1:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.151295 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 864)\n",
"I0424 20:53:04.231109 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_16/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.238848 140225883285312 api.py:587] block_17 survival_prob: 0.9244444444444444\n",
"I0424 20:53:04.245721 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_16/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.252451 140225883285312 api.py:587] Block input depth: 144 output depth: 144\n",
"I0424 20:53:04.280479 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_17/IdentityN:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.307853 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_17/IdentityN_1:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.331994 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 864)\n",
"I0424 20:53:04.363090 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_17/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.370733 140225883285312 api.py:587] block_18 survival_prob: 0.92\n",
"I0424 20:53:04.378007 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_17/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.384699 140225883285312 api.py:587] Block input depth: 144 output depth: 144\n",
"I0424 20:53:04.412296 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_18/IdentityN:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.439951 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_18/IdentityN_1:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.463758 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 864)\n",
"I0424 20:53:04.495090 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_18/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.502741 140225883285312 api.py:587] block_19 survival_prob: 0.9155555555555556\n",
"I0424 20:53:04.509585 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_18/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.516290 140225883285312 api.py:587] Block input depth: 144 output depth: 144\n",
"I0424 20:53:04.544558 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_19/IdentityN:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.571947 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_19/IdentityN_1:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.596230 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 864)\n",
"I0424 20:53:04.627438 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_19/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.635322 140225883285312 api.py:587] block_20 survival_prob: 0.9111111111111111\n",
"I0424 20:53:04.642174 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_19/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.648865 140225883285312 api.py:587] Block input depth: 144 output depth: 144\n",
"I0424 20:53:04.676469 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_20/IdentityN:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.704321 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_20/IdentityN_1:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.728362 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 864)\n",
"I0424 20:53:04.759714 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_20/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.767374 140225883285312 api.py:587] block_21 survival_prob: 0.9066666666666667\n",
"I0424 20:53:04.774222 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_20/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.781295 140225883285312 api.py:587] Block input depth: 144 output depth: 144\n",
"I0424 20:53:04.808943 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_21/IdentityN:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.836715 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_21/IdentityN_1:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.861003 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 864)\n",
"I0424 20:53:04.892488 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_21/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.900142 140225883285312 api.py:587] block_22 survival_prob: 0.9022222222222223\n",
"I0424 20:53:04.907016 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_21/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:04.913722 140225883285312 api.py:587] Block input depth: 144 output depth: 144\n",
"I0424 20:53:04.941666 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_22/IdentityN:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.969189 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_22/IdentityN_1:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:04.993498 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 864)\n",
"I0424 20:53:05.024685 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_22/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:05.032662 140225883285312 api.py:587] block_23 survival_prob: 0.8977777777777778\n",
"I0424 20:53:05.039492 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_22/Add_1:0 shape: (8, 80, 80, 144)\n",
"I0424 20:53:05.046191 140225883285312 api.py:587] Block input depth: 144 output depth: 200\n",
"I0424 20:53:05.074033 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_23/IdentityN:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:05.101669 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_23/IdentityN_1:0 shape: (8, 80, 80, 864)\n",
"I0424 20:53:05.125725 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 864)\n",
"I0424 20:53:05.152793 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_23/Identity_2:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.160390 140225883285312 api.py:587] block_24 survival_prob: 0.8933333333333333\n",
"I0424 20:53:05.167240 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_23/Identity_2:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.173949 140225883285312 api.py:587] Block input depth: 200 output depth: 200\n",
"I0424 20:53:05.204231 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_24/IdentityN:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:05.234095 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_24/IdentityN_1:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:05.258761 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 1200)\n",
"I0424 20:53:05.290181 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_24/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.297816 140225883285312 api.py:587] block_25 survival_prob: 0.888888888888889\n",
"I0424 20:53:05.304676 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_24/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.311477 140225883285312 api.py:587] Block input depth: 200 output depth: 200\n",
"I0424 20:53:05.341766 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_25/IdentityN:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:05.371945 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_25/IdentityN_1:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:05.396864 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 1200)\n",
"I0424 20:53:05.428343 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_25/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.435980 140225883285312 api.py:587] block_26 survival_prob: 0.8844444444444445\n",
"I0424 20:53:05.442837 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_25/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.449538 140225883285312 api.py:587] Block input depth: 200 output depth: 200\n",
"I0424 20:53:05.479912 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_26/IdentityN:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:05.510601 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_26/IdentityN_1:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:05.535535 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 1200)\n",
"I0424 20:53:05.567142 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_26/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.574773 140225883285312 api.py:587] block_27 survival_prob: 0.88\n",
"I0424 20:53:05.581645 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_26/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.588450 140225883285312 api.py:587] Block input depth: 200 output depth: 200\n",
"I0424 20:53:05.618924 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_27/IdentityN:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:05.649209 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_27/IdentityN_1:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:05.674208 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 1200)\n",
"I0424 20:53:05.706813 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_27/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.714445 140225883285312 api.py:587] block_28 survival_prob: 0.8755555555555556\n",
"I0424 20:53:05.721314 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_27/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.728012 140225883285312 api.py:587] Block input depth: 200 output depth: 200\n",
"I0424 20:53:05.758465 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_28/IdentityN:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:05.789118 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_28/IdentityN_1:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:05.814204 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 1200)\n",
"I0424 20:53:05.845684 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_28/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.853289 140225883285312 api.py:587] block_29 survival_prob: 0.8711111111111112\n",
"I0424 20:53:05.860155 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_28/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.866930 140225883285312 api.py:587] Block input depth: 200 output depth: 200\n",
"I0424 20:53:05.897166 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_29/IdentityN:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:05.927277 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_29/IdentityN_1:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:05.952174 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 1200)\n",
"I0424 20:53:05.983640 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_29/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:05.991237 140225883285312 api.py:587] block_30 survival_prob: 0.8666666666666667\n",
"I0424 20:53:05.998103 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_29/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:06.004802 140225883285312 api.py:587] Block input depth: 200 output depth: 200\n",
"I0424 20:53:06.035143 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_30/IdentityN:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:06.065334 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_30/IdentityN_1:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:06.090563 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 1200)\n",
"I0424 20:53:06.122218 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_30/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:06.129888 140225883285312 api.py:587] block_31 survival_prob: 0.8622222222222222\n",
"I0424 20:53:06.136760 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_30/Add_1:0 shape: (8, 80, 80, 200)\n",
"I0424 20:53:06.143546 140225883285312 api.py:587] Block input depth: 200 output depth: 344\n",
"I0424 20:53:06.173917 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_31/IdentityN:0 shape: (8, 80, 80, 1200)\n",
"I0424 20:53:06.205911 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_31/IdentityN_1:0 shape: (8, 40, 40, 1200)\n",
"I0424 20:53:06.230899 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 1200)\n",
"I0424 20:53:06.258046 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_31/Identity_2:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:06.265648 140225883285312 api.py:587] block_32 survival_prob: 0.8577777777777778\n",
"I0424 20:53:06.272504 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_31/Identity_2:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:06.279177 140225883285312 api.py:587] Block input depth: 344 output depth: 344\n",
"I0424 20:53:06.309493 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_32/IdentityN:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:06.339670 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_32/IdentityN_1:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:06.364763 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 2064)\n",
"I0424 20:53:06.396661 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_32/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:06.404259 140225883285312 api.py:587] block_33 survival_prob: 0.8533333333333334\n",
"I0424 20:53:06.411102 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_32/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:06.417797 140225883285312 api.py:587] Block input depth: 344 output depth: 344\n",
"I0424 20:53:06.448260 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_33/IdentityN:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:06.478631 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_33/IdentityN_1:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:06.503681 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 2064)\n",
"I0424 20:53:06.535264 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_33/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:06.542898 140225883285312 api.py:587] block_34 survival_prob: 0.8488888888888889\n",
"I0424 20:53:06.549776 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_33/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:06.556579 140225883285312 api.py:587] Block input depth: 344 output depth: 344\n",
"I0424 20:53:06.587026 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_34/IdentityN:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:06.617337 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_34/IdentityN_1:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:06.642409 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 2064)\n",
"I0424 20:53:06.674021 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_34/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:06.681618 140225883285312 api.py:587] block_35 survival_prob: 0.8444444444444446\n",
"I0424 20:53:06.688474 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_34/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:06.695176 140225883285312 api.py:587] Block input depth: 344 output depth: 344\n",
"I0424 20:53:06.726099 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_35/IdentityN:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:06.756732 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_35/IdentityN_1:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:06.781920 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 2064)\n",
"I0424 20:53:06.813482 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_35/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:06.821071 140225883285312 api.py:587] block_36 survival_prob: 0.8400000000000001\n",
"I0424 20:53:06.827929 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_35/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:06.834700 140225883285312 api.py:587] Block input depth: 344 output depth: 344\n",
"I0424 20:53:06.865262 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_36/IdentityN:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:06.895612 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_36/IdentityN_1:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:06.920778 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 2064)\n",
"I0424 20:53:06.952448 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_36/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:06.960078 140225883285312 api.py:587] block_37 survival_prob: 0.8355555555555556\n",
"I0424 20:53:06.966940 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_36/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:06.973641 140225883285312 api.py:587] Block input depth: 344 output depth: 344\n",
"I0424 20:53:07.004305 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_37/IdentityN:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:07.035186 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_37/IdentityN_1:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:07.060399 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 2064)\n",
"I0424 20:53:07.092131 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_37/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:07.099748 140225883285312 api.py:587] block_38 survival_prob: 0.8311111111111111\n",
"I0424 20:53:07.106595 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_37/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:07.113389 140225883285312 api.py:587] Block input depth: 344 output depth: 344\n",
"I0424 20:53:07.144038 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_38/IdentityN:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:07.174535 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_38/IdentityN_1:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:07.199806 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 2064)\n",
"I0424 20:53:07.231663 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_38/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:07.239294 140225883285312 api.py:587] block_39 survival_prob: 0.8266666666666667\n",
"I0424 20:53:07.246155 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_38/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:07.252870 140225883285312 api.py:587] Block input depth: 344 output depth: 344\n",
"I0424 20:53:07.283623 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_39/IdentityN:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:07.314599 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_39/IdentityN_1:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:07.339936 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 2064)\n",
"I0424 20:53:07.371682 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_39/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:07.379334 140225883285312 api.py:587] block_40 survival_prob: 0.8222222222222223\n",
"I0424 20:53:07.386194 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_39/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:07.392971 140225883285312 api.py:587] Block input depth: 344 output depth: 344\n",
"I0424 20:53:07.423847 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_40/IdentityN:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:07.454350 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_40/IdentityN_1:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:07.479804 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 2064)\n",
"I0424 20:53:07.511636 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_40/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:07.519259 140225883285312 api.py:587] block_41 survival_prob: 0.8177777777777778\n",
"I0424 20:53:07.526099 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_40/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:07.532791 140225883285312 api.py:587] Block input depth: 344 output depth: 344\n",
"I0424 20:53:07.563801 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_41/IdentityN:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:07.594460 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_41/IdentityN_1:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:07.620292 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 2064)\n",
"I0424 20:53:07.652128 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_41/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:07.659751 140225883285312 api.py:587] block_42 survival_prob: 0.8133333333333334\n",
"I0424 20:53:07.666615 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_41/Add_1:0 shape: (8, 40, 40, 344)\n",
"I0424 20:53:07.673416 140225883285312 api.py:587] Block input depth: 344 output depth: 576\n",
"I0424 20:53:07.704331 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_42/IdentityN:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:07.735060 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_42/IdentityN_1:0 shape: (8, 40, 40, 2064)\n",
"I0424 20:53:07.760788 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 2064)\n",
"I0424 20:53:07.788503 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_42/Identity_2:0 shape: (8, 40, 40, 576)\n",
"I0424 20:53:07.796165 140225883285312 api.py:587] block_43 survival_prob: 0.808888888888889\n",
"I0424 20:53:07.803061 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_42/Identity_2:0 shape: (8, 40, 40, 576)\n",
"I0424 20:53:07.809804 140225883285312 api.py:587] Block input depth: 576 output depth: 576\n",
"I0424 20:53:07.840947 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_43/IdentityN:0 shape: (8, 40, 40, 3456)\n",
"I0424 20:53:07.871895 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_43/IdentityN_1:0 shape: (8, 40, 40, 3456)\n",
"I0424 20:53:07.897622 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 3456)\n",
"I0424 20:53:07.929624 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_43/Add_1:0 shape: (8, 40, 40, 576)\n",
"I0424 20:53:07.937125 140225883285312 api.py:587] block_44 survival_prob: 0.8044444444444445\n",
"I0424 20:53:07.944009 140225883285312 api.py:587] Block input: efficientnet-b6/model/blocks_43/Add_1:0 shape: (8, 40, 40, 576)\n",
"I0424 20:53:07.951221 140225883285312 api.py:587] Block input depth: 576 output depth: 576\n",
"I0424 20:53:07.982320 140225883285312 api.py:587] Expand: efficientnet-b6/model/blocks_44/IdentityN:0 shape: (8, 40, 40, 3456)\n",
"I0424 20:53:08.013159 140225883285312 api.py:587] DWConv: efficientnet-b6/model/blocks_44/IdentityN_1:0 shape: (8, 40, 40, 3456)\n",
"I0424 20:53:08.038742 140225883285312 api.py:587] Built Squeeze and Excitation with tensor shape: (8, 1, 1, 3456)\n",
"I0424 20:53:08.070774 140225883285312 api.py:587] Project: efficientnet-b6/model/blocks_44/Add_1:0 shape: (8, 40, 40, 576)\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/profiler/internal/flops_registry.py:142: tensor_shape_from_node_def_name (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.compat.v1.graph_util.tensor_shape_from_node_def_name`\n",
"W0424 20:53:08.083855 140225883285312 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow/python/profiler/internal/flops_registry.py:142: tensor_shape_from_node_def_name (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.compat.v1.graph_util.tensor_shape_from_node_def_name`\n",
"Parsing Inputs...\n",
"I0424 20:53:08.841377 140225883285312 efficientdet_arch.py:684] backbone params/flops = 39.403992M, 865.970472710B\n",
"WARNING:tensorflow:From /home/automl/efficientdet/efficientdet_arch.py:121: conv2d (from tensorflow.python.layers.convolutional) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.keras.layers.Conv2D` instead.\n",
"W0424 20:53:08.841861 140225883285312 deprecation.py:323] From /home/automl/efficientdet/efficientdet_arch.py:121: conv2d (from tensorflow.python.layers.convolutional) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.keras.layers.Conv2D` instead.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/layers/convolutional.py:424: Layer.apply (from tensorflow.python.keras.engine.base_layer_v1) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Please use `layer.__call__` method instead.\n",
"W0424 20:53:08.844022 140225883285312 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow/python/layers/convolutional.py:424: Layer.apply (from tensorflow.python.keras.engine.base_layer_v1) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Please use `layer.__call__` method instead.\n",
"WARNING:tensorflow:From /home/automl/efficientdet/efficientdet_arch.py:147: max_pooling2d (from tensorflow.python.layers.pooling) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use keras.layers.MaxPooling2D instead.\n",
"W0424 20:53:08.882494 140225883285312 deprecation.py:323] From /home/automl/efficientdet/efficientdet_arch.py:147: max_pooling2d (from tensorflow.python.layers.pooling) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use keras.layers.MaxPooling2D instead.\n",
"I0424 20:53:08.887646 140225883285312 efficientdet_arch.py:472] building cell 0\n",
"I0424 20:53:08.887868 140225883285312 efficientdet_arch.py:589] fnode 0 : {'feat_level': 6, 'inputs_offsets': [3, 4]}\n",
"WARNING:tensorflow:From /home/automl/efficientdet/efficientdet_arch.py:646: separable_conv2d (from tensorflow.python.layers.convolutional) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.keras.layers.SeparableConv2D` instead.\n",
"W0424 20:53:08.891736 140225883285312 deprecation.py:323] From /home/automl/efficientdet/efficientdet_arch.py:646: separable_conv2d (from tensorflow.python.layers.convolutional) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.keras.layers.SeparableConv2D` instead.\n",
"I0424 20:53:08.918440 140225883285312 efficientdet_arch.py:589] fnode 1 : {'feat_level': 5, 'inputs_offsets': [2, 5]}\n",
"I0424 20:53:08.970631 140225883285312 efficientdet_arch.py:589] fnode 2 : {'feat_level': 4, 'inputs_offsets': [1, 6]}\n",
"I0424 20:53:09.026428 140225883285312 efficientdet_arch.py:589] fnode 3 : {'feat_level': 3, 'inputs_offsets': [0, 7]}\n",
"I0424 20:53:09.079984 140225883285312 efficientdet_arch.py:589] fnode 4 : {'feat_level': 4, 'inputs_offsets': [1, 7, 8]}\n",
"I0424 20:53:09.133037 140225883285312 efficientdet_arch.py:589] fnode 5 : {'feat_level': 5, 'inputs_offsets': [2, 6, 9]}\n",
"I0424 20:53:09.186403 140225883285312 efficientdet_arch.py:589] fnode 6 : {'feat_level': 6, 'inputs_offsets': [3, 5, 10]}\n",
"I0424 20:53:09.217556 140225883285312 efficientdet_arch.py:589] fnode 7 : {'feat_level': 7, 'inputs_offsets': [4, 11]}\n",
"I0424 20:53:09.248739 140225883285312 efficientdet_arch.py:472] building cell 1\n",
"I0424 20:53:09.248969 140225883285312 efficientdet_arch.py:589] fnode 0 : {'feat_level': 6, 'inputs_offsets': [3, 4]}\n",
"I0424 20:53:09.279367 140225883285312 efficientdet_arch.py:589] fnode 1 : {'feat_level': 5, 'inputs_offsets': [2, 5]}\n",
"I0424 20:53:09.310134 140225883285312 efficientdet_arch.py:589] fnode 2 : {'feat_level': 4, 'inputs_offsets': [1, 6]}\n",
"I0424 20:53:09.340554 140225883285312 efficientdet_arch.py:589] fnode 3 : {'feat_level': 3, 'inputs_offsets': [0, 7]}\n",
"I0424 20:53:09.370889 140225883285312 efficientdet_arch.py:589] fnode 4 : {'feat_level': 4, 'inputs_offsets': [1, 7, 8]}\n",
"I0424 20:53:09.402336 140225883285312 efficientdet_arch.py:589] fnode 5 : {'feat_level': 5, 'inputs_offsets': [2, 6, 9]}\n",
"I0424 20:53:09.433634 140225883285312 efficientdet_arch.py:589] fnode 6 : {'feat_level': 6, 'inputs_offsets': [3, 5, 10]}\n",
"I0424 20:53:09.464986 140225883285312 efficientdet_arch.py:589] fnode 7 : {'feat_level': 7, 'inputs_offsets': [4, 11]}\n",
"I0424 20:53:09.496333 140225883285312 efficientdet_arch.py:472] building cell 2\n",
"I0424 20:53:09.496563 140225883285312 efficientdet_arch.py:589] fnode 0 : {'feat_level': 6, 'inputs_offsets': [3, 4]}\n",
"I0424 20:53:09.527041 140225883285312 efficientdet_arch.py:589] fnode 1 : {'feat_level': 5, 'inputs_offsets': [2, 5]}\n",
"I0424 20:53:09.557961 140225883285312 efficientdet_arch.py:589] fnode 2 : {'feat_level': 4, 'inputs_offsets': [1, 6]}\n",
"I0424 20:53:09.588445 140225883285312 efficientdet_arch.py:589] fnode 3 : {'feat_level': 3, 'inputs_offsets': [0, 7]}\n",
"I0424 20:53:09.619061 140225883285312 efficientdet_arch.py:589] fnode 4 : {'feat_level': 4, 'inputs_offsets': [1, 7, 8]}\n",
"I0424 20:53:09.650420 140225883285312 efficientdet_arch.py:589] fnode 5 : {'feat_level': 5, 'inputs_offsets': [2, 6, 9]}\n",
"I0424 20:53:09.681926 140225883285312 efficientdet_arch.py:589] fnode 6 : {'feat_level': 6, 'inputs_offsets': [3, 5, 10]}\n",
"I0424 20:53:09.713462 140225883285312 efficientdet_arch.py:589] fnode 7 : {'feat_level': 7, 'inputs_offsets': [4, 11]}\n",
"I0424 20:53:09.744937 140225883285312 efficientdet_arch.py:472] building cell 3\n",
"I0424 20:53:09.745170 140225883285312 efficientdet_arch.py:589] fnode 0 : {'feat_level': 6, 'inputs_offsets': [3, 4]}\n",
"I0424 20:53:09.775996 140225883285312 efficientdet_arch.py:589] fnode 1 : {'feat_level': 5, 'inputs_offsets': [2, 5]}\n",
"I0424 20:53:09.806823 140225883285312 efficientdet_arch.py:589] fnode 2 : {'feat_level': 4, 'inputs_offsets': [1, 6]}\n",
"I0424 20:53:09.837994 140225883285312 efficientdet_arch.py:589] fnode 3 : {'feat_level': 3, 'inputs_offsets': [0, 7]}\n",
"I0424 20:53:09.868952 140225883285312 efficientdet_arch.py:589] fnode 4 : {'feat_level': 4, 'inputs_offsets': [1, 7, 8]}\n",
"I0424 20:53:09.900719 140225883285312 efficientdet_arch.py:589] fnode 5 : {'feat_level': 5, 'inputs_offsets': [2, 6, 9]}\n",
"I0424 20:53:09.934705 140225883285312 efficientdet_arch.py:589] fnode 6 : {'feat_level': 6, 'inputs_offsets': [3, 5, 10]}\n",
"I0424 20:53:09.966708 140225883285312 efficientdet_arch.py:589] fnode 7 : {'feat_level': 7, 'inputs_offsets': [4, 11]}\n",
"I0424 20:53:09.998525 140225883285312 efficientdet_arch.py:472] building cell 4\n",
"I0424 20:53:09.998754 140225883285312 efficientdet_arch.py:589] fnode 0 : {'feat_level': 6, 'inputs_offsets': [3, 4]}\n",
"I0424 20:53:10.029801 140225883285312 efficientdet_arch.py:589] fnode 1 : {'feat_level': 5, 'inputs_offsets': [2, 5]}\n",
"I0424 20:53:10.060861 140225883285312 efficientdet_arch.py:589] fnode 2 : {'feat_level': 4, 'inputs_offsets': [1, 6]}\n",
"I0424 20:53:10.091867 140225883285312 efficientdet_arch.py:589] fnode 3 : {'feat_level': 3, 'inputs_offsets': [0, 7]}\n",
"I0424 20:53:10.123388 140225883285312 efficientdet_arch.py:589] fnode 4 : {'feat_level': 4, 'inputs_offsets': [1, 7, 8]}\n",
"I0424 20:53:10.155435 140225883285312 efficientdet_arch.py:589] fnode 5 : {'feat_level': 5, 'inputs_offsets': [2, 6, 9]}\n",
"I0424 20:53:10.187613 140225883285312 efficientdet_arch.py:589] fnode 6 : {'feat_level': 6, 'inputs_offsets': [3, 5, 10]}\n",
"I0424 20:53:10.219717 140225883285312 efficientdet_arch.py:589] fnode 7 : {'feat_level': 7, 'inputs_offsets': [4, 11]}\n",
"I0424 20:53:10.251848 140225883285312 efficientdet_arch.py:472] building cell 5\n",
"I0424 20:53:10.252096 140225883285312 efficientdet_arch.py:589] fnode 0 : {'feat_level': 6, 'inputs_offsets': [3, 4]}\n",
"I0424 20:53:10.283282 140225883285312 efficientdet_arch.py:589] fnode 1 : {'feat_level': 5, 'inputs_offsets': [2, 5]}\n",
"I0424 20:53:10.314544 140225883285312 efficientdet_arch.py:589] fnode 2 : {'feat_level': 4, 'inputs_offsets': [1, 6]}\n",
"I0424 20:53:10.345796 140225883285312 efficientdet_arch.py:589] fnode 3 : {'feat_level': 3, 'inputs_offsets': [0, 7]}\n",
"I0424 20:53:10.377536 140225883285312 efficientdet_arch.py:589] fnode 4 : {'feat_level': 4, 'inputs_offsets': [1, 7, 8]}\n",
"I0424 20:53:10.409950 140225883285312 efficientdet_arch.py:589] fnode 5 : {'feat_level': 5, 'inputs_offsets': [2, 6, 9]}\n",
"I0424 20:53:10.442173 140225883285312 efficientdet_arch.py:589] fnode 6 : {'feat_level': 6, 'inputs_offsets': [3, 5, 10]}\n",
"I0424 20:53:10.474575 140225883285312 efficientdet_arch.py:589] fnode 7 : {'feat_level': 7, 'inputs_offsets': [4, 11]}\n",
"I0424 20:53:10.507561 140225883285312 efficientdet_arch.py:472] building cell 6\n",
"I0424 20:53:10.507809 140225883285312 efficientdet_arch.py:589] fnode 0 : {'feat_level': 6, 'inputs_offsets': [3, 4]}\n",
"I0424 20:53:10.539455 140225883285312 efficientdet_arch.py:589] fnode 1 : {'feat_level': 5, 'inputs_offsets': [2, 5]}\n",
"I0424 20:53:10.571016 140225883285312 efficientdet_arch.py:589] fnode 2 : {'feat_level': 4, 'inputs_offsets': [1, 6]}\n",
"I0424 20:53:10.602552 140225883285312 efficientdet_arch.py:589] fnode 3 : {'feat_level': 3, 'inputs_offsets': [0, 7]}\n",
"I0424 20:53:10.634135 140225883285312 efficientdet_arch.py:589] fnode 4 : {'feat_level': 4, 'inputs_offsets': [1, 7, 8]}\n",
"I0424 20:53:10.667044 140225883285312 efficientdet_arch.py:589] fnode 5 : {'feat_level': 5, 'inputs_offsets': [2, 6, 9]}\n",
"I0424 20:53:10.699532 140225883285312 efficientdet_arch.py:589] fnode 6 : {'feat_level': 6, 'inputs_offsets': [3, 5, 10]}\n",
"I0424 20:53:10.732136 140225883285312 efficientdet_arch.py:589] fnode 7 : {'feat_level': 7, 'inputs_offsets': [4, 11]}\n",
"I0424 20:53:10.764750 140225883285312 efficientdet_arch.py:472] building cell 7\n",
"I0424 20:53:10.764984 140225883285312 efficientdet_arch.py:589] fnode 0 : {'feat_level': 6, 'inputs_offsets': [3, 4]}\n",
"I0424 20:53:10.796496 140225883285312 efficientdet_arch.py:589] fnode 1 : {'feat_level': 5, 'inputs_offsets': [2, 5]}\n",
"I0424 20:53:10.828303 140225883285312 efficientdet_arch.py:589] fnode 2 : {'feat_level': 4, 'inputs_offsets': [1, 6]}\n",
"I0424 20:53:10.859974 140225883285312 efficientdet_arch.py:589] fnode 3 : {'feat_level': 3, 'inputs_offsets': [0, 7]}\n",
"I0424 20:53:10.891764 140225883285312 efficientdet_arch.py:589] fnode 4 : {'feat_level': 4, 'inputs_offsets': [1, 7, 8]}\n",
"I0424 20:53:10.924463 140225883285312 efficientdet_arch.py:589] fnode 5 : {'feat_level': 5, 'inputs_offsets': [2, 6, 9]}\n",
"I0424 20:53:10.957545 140225883285312 efficientdet_arch.py:589] fnode 6 : {'feat_level': 6, 'inputs_offsets': [3, 5, 10]}\n",
"I0424 20:53:10.990455 140225883285312 efficientdet_arch.py:589] fnode 7 : {'feat_level': 7, 'inputs_offsets': [4, 11]}\n",
"Parsing Inputs...\n",
"I0424 20:53:12.018152 140225883285312 efficientdet_arch.py:689] backbone+fpn params/flops = 49.987800M, 1301.582823055B\n",
"Parsing Inputs...\n",
"I0424 20:53:14.461220 140225883285312 efficientdet_arch.py:694] backbone+fpn+box params/flops = 51.629232M, 1738.862146881B\n",
"I0424 20:53:14.461392 140225883285312 det_model_fn.py:95] LR schedule method: cosine\n",
"I0424 20:53:14.662732 140225883285312 utils.py:336] Adding summary ('lrn_rate', <tf.Tensor 'Select:0' shape=() dtype=float32>)\n",
"I0424 20:53:14.663250 140225883285312 utils.py:336] Adding summary ('trainloss/cls_loss', <tf.Tensor 'AddN:0' shape=() dtype=float32>)\n",
"I0424 20:53:14.663732 140225883285312 utils.py:336] Adding summary ('trainloss/box_loss', <tf.Tensor 'AddN_1:0' shape=() dtype=float32>)\n",
"I0424 20:53:14.664214 140225883285312 utils.py:336] Adding summary ('trainloss/det_loss', <tf.Tensor 'add_3:0' shape=() dtype=float32>)\n",
"I0424 20:53:14.664690 140225883285312 utils.py:336] Adding summary ('trainloss/l2_loss', <tf.Tensor 'mul_14:0' shape=() dtype=float32>)\n",
"I0424 20:53:14.665169 140225883285312 utils.py:336] Adding summary ('trainloss/loss', <tf.Tensor 'add_4:0' shape=() dtype=float32>)\n",
"I0424 20:53:14.665659 140225883285312 det_model_fn.py:503] clip gradients norm by 10.000000\n",
"I0424 20:53:19.641582 140225883285312 utils.py:336] Adding summary ('gnorm', <tf.Tensor 'clip/global_norm/global_norm:0' shape=() dtype=float32>)\n",
"WARNING:tensorflow:From /home/automl/efficientdet/det_model_fn.py:623: The name tf.estimator.tpu.TPUEstimatorSpec is deprecated. Please use tf.compat.v1.estimator.tpu.TPUEstimatorSpec instead.\n",
"\n",
"W0424 20:53:22.677795 140225883285312 module_wrapper.py:138] From /home/automl/efficientdet/det_model_fn.py:623: The name tf.estimator.tpu.TPUEstimatorSpec is deprecated. Please use tf.compat.v1.estimator.tpu.TPUEstimatorSpec instead.\n",
"\n",
"I0424 20:53:22.703909 140225883285312 det_model_fn.py:602] restore variables from efficientnet-b6\n",
"I0424 20:53:22.703977 140225883285312 utils.py:78] Init model from checkpoint efficientnet-b6\n",
"I0424 20:53:22.709220 140225883285312 utils.py:110] Init efficientnet-b6/stem/conv2d/kernel from ckpt var efficientnet-b6/stem/conv2d/kernel\n",
"I0424 20:53:22.709278 140225883285312 utils.py:110] Init efficientnet-b6/stem/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/stem/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.709323 140225883285312 utils.py:110] Init efficientnet-b6/stem/tpu_batch_normalization/beta from ckpt var efficientnet-b6/stem/tpu_batch_normalization/beta\n",
"I0424 20:53:22.709364 140225883285312 utils.py:110] Init efficientnet-b6/stem/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/stem/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.709404 140225883285312 utils.py:110] Init efficientnet-b6/stem/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/stem/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.709442 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_0/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.709479 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_0/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.709517 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_0/tpu_batch_normalization/beta\n",
"I0424 20:53:22.709554 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_0/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.709592 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_0/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.709629 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_0/se/conv2d/kernel\n",
"I0424 20:53:22.709667 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/se/conv2d/bias from ckpt var efficientnet-b6/blocks_0/se/conv2d/bias\n",
"I0424 20:53:22.709704 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_0/se/conv2d_1/kernel\n",
"I0424 20:53:22.709741 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_0/se/conv2d_1/bias\n",
"I0424 20:53:22.709777 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/conv2d/kernel from ckpt var efficientnet-b6/blocks_0/conv2d/kernel\n",
"I0424 20:53:22.709815 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_0/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.709852 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_0/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.709889 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_0/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.709926 140225883285312 utils.py:110] Init efficientnet-b6/blocks_0/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_0/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.709963 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_1/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.710001 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_1/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.710037 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_1/tpu_batch_normalization/beta\n",
"I0424 20:53:22.710076 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_1/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.710113 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_1/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.710150 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_1/se/conv2d/kernel\n",
"I0424 20:53:22.710186 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/se/conv2d/bias from ckpt var efficientnet-b6/blocks_1/se/conv2d/bias\n",
"I0424 20:53:22.710224 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_1/se/conv2d_1/kernel\n",
"I0424 20:53:22.710260 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_1/se/conv2d_1/bias\n",
"I0424 20:53:22.710297 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/conv2d/kernel from ckpt var efficientnet-b6/blocks_1/conv2d/kernel\n",
"I0424 20:53:22.710334 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_1/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.710371 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_1/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.710408 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_1/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.710445 140225883285312 utils.py:110] Init efficientnet-b6/blocks_1/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_1/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.710482 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_2/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.710520 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_2/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.710556 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_2/tpu_batch_normalization/beta\n",
"I0424 20:53:22.710593 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_2/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.710630 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_2/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.710667 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_2/se/conv2d/kernel\n",
"I0424 20:53:22.710704 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/se/conv2d/bias from ckpt var efficientnet-b6/blocks_2/se/conv2d/bias\n",
"I0424 20:53:22.710741 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_2/se/conv2d_1/kernel\n",
"I0424 20:53:22.710778 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_2/se/conv2d_1/bias\n",
"I0424 20:53:22.710815 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/conv2d/kernel from ckpt var efficientnet-b6/blocks_2/conv2d/kernel\n",
"I0424 20:53:22.710853 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_2/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.710890 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_2/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.710927 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_2/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.710964 140225883285312 utils.py:110] Init efficientnet-b6/blocks_2/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_2/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.711000 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/conv2d/kernel from ckpt var efficientnet-b6/blocks_3/conv2d/kernel\n",
"I0424 20:53:22.711037 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_3/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.711073 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_3/tpu_batch_normalization/beta\n",
"I0424 20:53:22.711110 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_3/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.711147 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_3/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.711184 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_3/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.711227 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_3/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.711266 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_3/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.711303 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_3/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.711340 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_3/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.711378 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_3/se/conv2d/kernel\n",
"I0424 20:53:22.711415 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/se/conv2d/bias from ckpt var efficientnet-b6/blocks_3/se/conv2d/bias\n",
"I0424 20:53:22.711452 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_3/se/conv2d_1/kernel\n",
"I0424 20:53:22.711488 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_3/se/conv2d_1/bias\n",
"I0424 20:53:22.711526 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_3/conv2d_1/kernel\n",
"I0424 20:53:22.711563 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_3/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.711600 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_3/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.711637 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_3/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.711674 140225883285312 utils.py:110] Init efficientnet-b6/blocks_3/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_3/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.711711 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/conv2d/kernel from ckpt var efficientnet-b6/blocks_4/conv2d/kernel\n",
"I0424 20:53:22.711748 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_4/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.711785 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_4/tpu_batch_normalization/beta\n",
"I0424 20:53:22.711821 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_4/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.711858 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_4/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.711894 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_4/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.711931 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_4/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.711968 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_4/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.712005 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_4/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.712042 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_4/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.712079 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_4/se/conv2d/kernel\n",
"I0424 20:53:22.712116 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/se/conv2d/bias from ckpt var efficientnet-b6/blocks_4/se/conv2d/bias\n",
"I0424 20:53:22.712153 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_4/se/conv2d_1/kernel\n",
"I0424 20:53:22.712190 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_4/se/conv2d_1/bias\n",
"I0424 20:53:22.712227 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_4/conv2d_1/kernel\n",
"I0424 20:53:22.712264 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_4/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.712300 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_4/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.712337 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_4/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.712374 140225883285312 utils.py:110] Init efficientnet-b6/blocks_4/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_4/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.712411 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/conv2d/kernel from ckpt var efficientnet-b6/blocks_5/conv2d/kernel\n",
"I0424 20:53:22.712449 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_5/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.712485 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_5/tpu_batch_normalization/beta\n",
"I0424 20:53:22.712522 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_5/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.712560 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_5/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.712596 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_5/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.712633 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_5/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.712671 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_5/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.712707 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_5/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.712745 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_5/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.712782 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_5/se/conv2d/kernel\n",
"I0424 20:53:22.712821 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/se/conv2d/bias from ckpt var efficientnet-b6/blocks_5/se/conv2d/bias\n",
"I0424 20:53:22.712867 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_5/se/conv2d_1/kernel\n",
"I0424 20:53:22.712909 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_5/se/conv2d_1/bias\n",
"I0424 20:53:22.712948 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_5/conv2d_1/kernel\n",
"I0424 20:53:22.712984 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_5/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.713021 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_5/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.713057 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_5/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.713094 140225883285312 utils.py:110] Init efficientnet-b6/blocks_5/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_5/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.713131 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/conv2d/kernel from ckpt var efficientnet-b6/blocks_6/conv2d/kernel\n",
"I0424 20:53:22.713168 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_6/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.713205 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_6/tpu_batch_normalization/beta\n",
"I0424 20:53:22.713241 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_6/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.713278 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_6/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.713315 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_6/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.713352 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_6/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.713388 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_6/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.713425 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_6/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.713462 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_6/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.713499 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_6/se/conv2d/kernel\n",
"I0424 20:53:22.713535 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/se/conv2d/bias from ckpt var efficientnet-b6/blocks_6/se/conv2d/bias\n",
"I0424 20:53:22.713571 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_6/se/conv2d_1/kernel\n",
"I0424 20:53:22.713608 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_6/se/conv2d_1/bias\n",
"I0424 20:53:22.713644 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_6/conv2d_1/kernel\n",
"I0424 20:53:22.713681 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_6/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.713717 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_6/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.713754 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_6/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.713791 140225883285312 utils.py:110] Init efficientnet-b6/blocks_6/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_6/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.713827 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/conv2d/kernel from ckpt var efficientnet-b6/blocks_7/conv2d/kernel\n",
"I0424 20:53:22.713864 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_7/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.713901 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_7/tpu_batch_normalization/beta\n",
"I0424 20:53:22.713938 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_7/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.713974 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_7/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.714011 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_7/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.714047 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_7/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.714084 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_7/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.714120 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_7/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.714157 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_7/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.714193 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_7/se/conv2d/kernel\n",
"I0424 20:53:22.714230 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/se/conv2d/bias from ckpt var efficientnet-b6/blocks_7/se/conv2d/bias\n",
"I0424 20:53:22.714267 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_7/se/conv2d_1/kernel\n",
"I0424 20:53:22.714303 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_7/se/conv2d_1/bias\n",
"I0424 20:53:22.714340 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_7/conv2d_1/kernel\n",
"I0424 20:53:22.714376 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_7/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.714413 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_7/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.714449 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_7/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.714487 140225883285312 utils.py:110] Init efficientnet-b6/blocks_7/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_7/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.714523 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/conv2d/kernel from ckpt var efficientnet-b6/blocks_8/conv2d/kernel\n",
"I0424 20:53:22.714560 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_8/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.714596 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_8/tpu_batch_normalization/beta\n",
"I0424 20:53:22.714633 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_8/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.714670 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_8/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.714706 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_8/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.714743 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_8/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.714779 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_8/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.714816 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_8/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.714853 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_8/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.714890 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_8/se/conv2d/kernel\n",
"I0424 20:53:22.714926 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/se/conv2d/bias from ckpt var efficientnet-b6/blocks_8/se/conv2d/bias\n",
"I0424 20:53:22.714963 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_8/se/conv2d_1/kernel\n",
"I0424 20:53:22.715000 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_8/se/conv2d_1/bias\n",
"I0424 20:53:22.715036 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_8/conv2d_1/kernel\n",
"I0424 20:53:22.715073 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_8/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.715110 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_8/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.715146 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_8/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.715183 140225883285312 utils.py:110] Init efficientnet-b6/blocks_8/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_8/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.715224 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/conv2d/kernel from ckpt var efficientnet-b6/blocks_9/conv2d/kernel\n",
"I0424 20:53:22.715262 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_9/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.715298 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_9/tpu_batch_normalization/beta\n",
"I0424 20:53:22.715335 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_9/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.715371 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_9/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.715408 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_9/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.715445 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_9/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.715481 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_9/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.715518 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_9/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.715555 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_9/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.715593 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_9/se/conv2d/kernel\n",
"I0424 20:53:22.715629 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/se/conv2d/bias from ckpt var efficientnet-b6/blocks_9/se/conv2d/bias\n",
"I0424 20:53:22.715666 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_9/se/conv2d_1/kernel\n",
"I0424 20:53:22.715702 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_9/se/conv2d_1/bias\n",
"I0424 20:53:22.715739 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_9/conv2d_1/kernel\n",
"I0424 20:53:22.715775 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_9/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.715812 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_9/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.715849 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_9/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.715885 140225883285312 utils.py:110] Init efficientnet-b6/blocks_9/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_9/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.715922 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/conv2d/kernel from ckpt var efficientnet-b6/blocks_10/conv2d/kernel\n",
"I0424 20:53:22.715959 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_10/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.715995 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_10/tpu_batch_normalization/beta\n",
"I0424 20:53:22.716031 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_10/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.716068 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_10/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.716105 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_10/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.716142 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_10/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.716179 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_10/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.716215 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_10/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.716252 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_10/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.716289 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_10/se/conv2d/kernel\n",
"I0424 20:53:22.716325 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/se/conv2d/bias from ckpt var efficientnet-b6/blocks_10/se/conv2d/bias\n",
"I0424 20:53:22.716363 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_10/se/conv2d_1/kernel\n",
"I0424 20:53:22.716400 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_10/se/conv2d_1/bias\n",
"I0424 20:53:22.716437 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_10/conv2d_1/kernel\n",
"I0424 20:53:22.716473 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_10/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.716510 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_10/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.716546 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_10/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.716583 140225883285312 utils.py:110] Init efficientnet-b6/blocks_10/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_10/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.716620 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/conv2d/kernel from ckpt var efficientnet-b6/blocks_11/conv2d/kernel\n",
"I0424 20:53:22.716656 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_11/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.716693 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_11/tpu_batch_normalization/beta\n",
"I0424 20:53:22.716730 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_11/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.716766 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_11/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.716803 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_11/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.716840 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_11/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.716877 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_11/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.716914 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_11/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.716951 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_11/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.716988 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_11/se/conv2d/kernel\n",
"I0424 20:53:22.717025 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/se/conv2d/bias from ckpt var efficientnet-b6/blocks_11/se/conv2d/bias\n",
"I0424 20:53:22.717061 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_11/se/conv2d_1/kernel\n",
"I0424 20:53:22.717097 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_11/se/conv2d_1/bias\n",
"I0424 20:53:22.717133 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_11/conv2d_1/kernel\n",
"I0424 20:53:22.717170 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_11/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.717206 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_11/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.717243 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_11/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.717280 140225883285312 utils.py:110] Init efficientnet-b6/blocks_11/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_11/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.717317 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/conv2d/kernel from ckpt var efficientnet-b6/blocks_12/conv2d/kernel\n",
"I0424 20:53:22.717354 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_12/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.717390 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_12/tpu_batch_normalization/beta\n",
"I0424 20:53:22.717427 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_12/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.717464 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_12/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.717501 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_12/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.717537 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_12/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.717574 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_12/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.717610 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_12/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.717647 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_12/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.717684 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_12/se/conv2d/kernel\n",
"I0424 20:53:22.717720 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/se/conv2d/bias from ckpt var efficientnet-b6/blocks_12/se/conv2d/bias\n",
"I0424 20:53:22.717757 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_12/se/conv2d_1/kernel\n",
"I0424 20:53:22.717793 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_12/se/conv2d_1/bias\n",
"I0424 20:53:22.717830 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_12/conv2d_1/kernel\n",
"I0424 20:53:22.717866 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_12/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.717903 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_12/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.717941 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_12/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.717987 140225883285312 utils.py:110] Init efficientnet-b6/blocks_12/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_12/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.718029 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/conv2d/kernel from ckpt var efficientnet-b6/blocks_13/conv2d/kernel\n",
"I0424 20:53:22.718067 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_13/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.718104 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_13/tpu_batch_normalization/beta\n",
"I0424 20:53:22.718141 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_13/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.718178 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_13/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.718216 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_13/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.718253 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_13/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.718290 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_13/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.718326 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_13/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.718363 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_13/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.718400 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_13/se/conv2d/kernel\n",
"I0424 20:53:22.718436 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/se/conv2d/bias from ckpt var efficientnet-b6/blocks_13/se/conv2d/bias\n",
"I0424 20:53:22.718473 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_13/se/conv2d_1/kernel\n",
"I0424 20:53:22.718510 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_13/se/conv2d_1/bias\n",
"I0424 20:53:22.718547 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_13/conv2d_1/kernel\n",
"I0424 20:53:22.718584 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_13/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.718620 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_13/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.718656 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_13/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.718692 140225883285312 utils.py:110] Init efficientnet-b6/blocks_13/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_13/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.718729 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/conv2d/kernel from ckpt var efficientnet-b6/blocks_14/conv2d/kernel\n",
"I0424 20:53:22.718765 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_14/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.718802 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_14/tpu_batch_normalization/beta\n",
"I0424 20:53:22.718838 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_14/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.718875 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_14/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.718912 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_14/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.718948 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_14/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.718985 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_14/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.719021 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_14/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.719058 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_14/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.719095 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_14/se/conv2d/kernel\n",
"I0424 20:53:22.719132 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/se/conv2d/bias from ckpt var efficientnet-b6/blocks_14/se/conv2d/bias\n",
"I0424 20:53:22.719169 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_14/se/conv2d_1/kernel\n",
"I0424 20:53:22.719208 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_14/se/conv2d_1/bias\n",
"I0424 20:53:22.719246 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_14/conv2d_1/kernel\n",
"I0424 20:53:22.719283 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_14/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.719320 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_14/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.719357 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_14/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.719394 140225883285312 utils.py:110] Init efficientnet-b6/blocks_14/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_14/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.719431 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/conv2d/kernel from ckpt var efficientnet-b6/blocks_15/conv2d/kernel\n",
"I0424 20:53:22.719468 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_15/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.719504 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_15/tpu_batch_normalization/beta\n",
"I0424 20:53:22.719542 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_15/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.719578 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_15/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.719615 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_15/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.719652 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_15/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.719688 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_15/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.719725 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_15/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.719761 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_15/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.719799 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_15/se/conv2d/kernel\n",
"I0424 20:53:22.719835 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/se/conv2d/bias from ckpt var efficientnet-b6/blocks_15/se/conv2d/bias\n",
"I0424 20:53:22.719872 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_15/se/conv2d_1/kernel\n",
"I0424 20:53:22.719909 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_15/se/conv2d_1/bias\n",
"I0424 20:53:22.719945 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_15/conv2d_1/kernel\n",
"I0424 20:53:22.719982 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_15/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.720018 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_15/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.720055 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_15/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.720091 140225883285312 utils.py:110] Init efficientnet-b6/blocks_15/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_15/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.720129 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/conv2d/kernel from ckpt var efficientnet-b6/blocks_16/conv2d/kernel\n",
"I0424 20:53:22.720165 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_16/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.720202 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_16/tpu_batch_normalization/beta\n",
"I0424 20:53:22.720239 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_16/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.720275 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_16/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.720312 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_16/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.720348 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_16/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.720384 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_16/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.720420 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_16/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.720457 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_16/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.720493 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_16/se/conv2d/kernel\n",
"I0424 20:53:22.720530 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/se/conv2d/bias from ckpt var efficientnet-b6/blocks_16/se/conv2d/bias\n",
"I0424 20:53:22.720566 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_16/se/conv2d_1/kernel\n",
"I0424 20:53:22.720603 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_16/se/conv2d_1/bias\n",
"I0424 20:53:22.720639 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_16/conv2d_1/kernel\n",
"I0424 20:53:22.720675 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_16/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.720712 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_16/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.720748 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_16/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.720785 140225883285312 utils.py:110] Init efficientnet-b6/blocks_16/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_16/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.720822 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/conv2d/kernel from ckpt var efficientnet-b6/blocks_17/conv2d/kernel\n",
"I0424 20:53:22.720858 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_17/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.720895 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_17/tpu_batch_normalization/beta\n",
"I0424 20:53:22.720931 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_17/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.720968 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_17/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.721005 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_17/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.721041 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_17/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.721078 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_17/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.721115 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_17/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.721152 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_17/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.721188 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_17/se/conv2d/kernel\n",
"I0424 20:53:22.721225 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/se/conv2d/bias from ckpt var efficientnet-b6/blocks_17/se/conv2d/bias\n",
"I0424 20:53:22.721261 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_17/se/conv2d_1/kernel\n",
"I0424 20:53:22.721297 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_17/se/conv2d_1/bias\n",
"I0424 20:53:22.721333 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_17/conv2d_1/kernel\n",
"I0424 20:53:22.721369 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_17/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.721405 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_17/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.721442 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_17/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.721479 140225883285312 utils.py:110] Init efficientnet-b6/blocks_17/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_17/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.721516 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/conv2d/kernel from ckpt var efficientnet-b6/blocks_18/conv2d/kernel\n",
"I0424 20:53:22.721553 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_18/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.721590 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_18/tpu_batch_normalization/beta\n",
"I0424 20:53:22.721626 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_18/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.721663 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_18/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.721700 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_18/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.721736 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_18/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.721772 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_18/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.721808 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_18/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.721845 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_18/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.721884 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_18/se/conv2d/kernel\n",
"I0424 20:53:22.721921 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/se/conv2d/bias from ckpt var efficientnet-b6/blocks_18/se/conv2d/bias\n",
"I0424 20:53:22.721958 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_18/se/conv2d_1/kernel\n",
"I0424 20:53:22.721994 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_18/se/conv2d_1/bias\n",
"I0424 20:53:22.722031 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_18/conv2d_1/kernel\n",
"I0424 20:53:22.722067 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_18/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.722104 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_18/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.722140 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_18/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.722177 140225883285312 utils.py:110] Init efficientnet-b6/blocks_18/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_18/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.722214 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/conv2d/kernel from ckpt var efficientnet-b6/blocks_19/conv2d/kernel\n",
"I0424 20:53:22.722250 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_19/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.722288 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_19/tpu_batch_normalization/beta\n",
"I0424 20:53:22.722325 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_19/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.722361 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_19/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.722398 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_19/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.722434 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_19/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.722470 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_19/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.722506 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_19/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.722542 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_19/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.722579 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_19/se/conv2d/kernel\n",
"I0424 20:53:22.722615 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/se/conv2d/bias from ckpt var efficientnet-b6/blocks_19/se/conv2d/bias\n",
"I0424 20:53:22.722652 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_19/se/conv2d_1/kernel\n",
"I0424 20:53:22.722688 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_19/se/conv2d_1/bias\n",
"I0424 20:53:22.722725 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_19/conv2d_1/kernel\n",
"I0424 20:53:22.722761 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_19/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.722798 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_19/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.722835 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_19/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.722871 140225883285312 utils.py:110] Init efficientnet-b6/blocks_19/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_19/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.722908 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/conv2d/kernel from ckpt var efficientnet-b6/blocks_20/conv2d/kernel\n",
"I0424 20:53:22.722944 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_20/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.722981 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_20/tpu_batch_normalization/beta\n",
"I0424 20:53:22.723017 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_20/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.723053 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_20/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.723099 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_20/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.723140 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_20/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.723176 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_20/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.723217 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_20/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.723255 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_20/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.723292 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_20/se/conv2d/kernel\n",
"I0424 20:53:22.723329 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/se/conv2d/bias from ckpt var efficientnet-b6/blocks_20/se/conv2d/bias\n",
"I0424 20:53:22.723365 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_20/se/conv2d_1/kernel\n",
"I0424 20:53:22.723402 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_20/se/conv2d_1/bias\n",
"I0424 20:53:22.723438 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_20/conv2d_1/kernel\n",
"I0424 20:53:22.723474 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_20/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.723511 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_20/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.723547 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_20/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.723584 140225883285312 utils.py:110] Init efficientnet-b6/blocks_20/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_20/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.723621 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/conv2d/kernel from ckpt var efficientnet-b6/blocks_21/conv2d/kernel\n",
"I0424 20:53:22.723658 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_21/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.723694 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_21/tpu_batch_normalization/beta\n",
"I0424 20:53:22.723731 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_21/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.723767 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_21/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.723804 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_21/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.723841 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_21/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.723877 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_21/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.723914 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_21/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.723950 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_21/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.723987 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_21/se/conv2d/kernel\n",
"I0424 20:53:22.724024 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/se/conv2d/bias from ckpt var efficientnet-b6/blocks_21/se/conv2d/bias\n",
"I0424 20:53:22.724060 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_21/se/conv2d_1/kernel\n",
"I0424 20:53:22.724097 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_21/se/conv2d_1/bias\n",
"I0424 20:53:22.724133 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_21/conv2d_1/kernel\n",
"I0424 20:53:22.724170 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_21/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.724206 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_21/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.724243 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_21/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.724279 140225883285312 utils.py:110] Init efficientnet-b6/blocks_21/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_21/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.724315 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/conv2d/kernel from ckpt var efficientnet-b6/blocks_22/conv2d/kernel\n",
"I0424 20:53:22.724352 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_22/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.724389 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_22/tpu_batch_normalization/beta\n",
"I0424 20:53:22.724426 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_22/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.724463 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_22/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.724500 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_22/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.724537 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_22/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.724573 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_22/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.724610 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_22/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.724647 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_22/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.724684 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_22/se/conv2d/kernel\n",
"I0424 20:53:22.724721 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/se/conv2d/bias from ckpt var efficientnet-b6/blocks_22/se/conv2d/bias\n",
"I0424 20:53:22.724758 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_22/se/conv2d_1/kernel\n",
"I0424 20:53:22.724794 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_22/se/conv2d_1/bias\n",
"I0424 20:53:22.724830 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_22/conv2d_1/kernel\n",
"I0424 20:53:22.724867 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_22/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.724904 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_22/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.724940 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_22/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.724977 140225883285312 utils.py:110] Init efficientnet-b6/blocks_22/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_22/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.725013 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/conv2d/kernel from ckpt var efficientnet-b6/blocks_23/conv2d/kernel\n",
"I0424 20:53:22.725050 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_23/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.725087 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_23/tpu_batch_normalization/beta\n",
"I0424 20:53:22.725124 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_23/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.725162 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_23/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.725198 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_23/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.725235 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_23/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.725271 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_23/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.725308 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_23/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.725344 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_23/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.725381 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_23/se/conv2d/kernel\n",
"I0424 20:53:22.725418 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/se/conv2d/bias from ckpt var efficientnet-b6/blocks_23/se/conv2d/bias\n",
"I0424 20:53:22.725454 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_23/se/conv2d_1/kernel\n",
"I0424 20:53:22.725491 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_23/se/conv2d_1/bias\n",
"I0424 20:53:22.725527 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_23/conv2d_1/kernel\n",
"I0424 20:53:22.725564 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_23/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.725600 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_23/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.725636 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_23/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.725673 140225883285312 utils.py:110] Init efficientnet-b6/blocks_23/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_23/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.725710 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/conv2d/kernel from ckpt var efficientnet-b6/blocks_24/conv2d/kernel\n",
"I0424 20:53:22.725747 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_24/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.725784 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_24/tpu_batch_normalization/beta\n",
"I0424 20:53:22.725821 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_24/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.725857 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_24/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.725894 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_24/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.725931 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_24/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.725967 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_24/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.726003 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_24/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.726040 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_24/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.726077 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_24/se/conv2d/kernel\n",
"I0424 20:53:22.726113 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/se/conv2d/bias from ckpt var efficientnet-b6/blocks_24/se/conv2d/bias\n",
"I0424 20:53:22.726150 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_24/se/conv2d_1/kernel\n",
"I0424 20:53:22.726187 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_24/se/conv2d_1/bias\n",
"I0424 20:53:22.726224 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_24/conv2d_1/kernel\n",
"I0424 20:53:22.726261 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_24/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.726298 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_24/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.726334 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_24/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.726371 140225883285312 utils.py:110] Init efficientnet-b6/blocks_24/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_24/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.726408 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/conv2d/kernel from ckpt var efficientnet-b6/blocks_25/conv2d/kernel\n",
"I0424 20:53:22.726444 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_25/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.726481 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_25/tpu_batch_normalization/beta\n",
"I0424 20:53:22.726517 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_25/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.726554 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_25/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.726591 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_25/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.726628 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_25/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.726665 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_25/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.726701 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_25/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.726737 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_25/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.726774 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_25/se/conv2d/kernel\n",
"I0424 20:53:22.726811 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/se/conv2d/bias from ckpt var efficientnet-b6/blocks_25/se/conv2d/bias\n",
"I0424 20:53:22.726847 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_25/se/conv2d_1/kernel\n",
"I0424 20:53:22.726884 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_25/se/conv2d_1/bias\n",
"I0424 20:53:22.726920 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_25/conv2d_1/kernel\n",
"I0424 20:53:22.726957 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_25/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.726994 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_25/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.727030 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_25/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.727067 140225883285312 utils.py:110] Init efficientnet-b6/blocks_25/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_25/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.727103 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/conv2d/kernel from ckpt var efficientnet-b6/blocks_26/conv2d/kernel\n",
"I0424 20:53:22.727139 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_26/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.727175 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_26/tpu_batch_normalization/beta\n",
"I0424 20:53:22.727215 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_26/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.727252 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_26/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.727289 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_26/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.727326 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_26/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.727362 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_26/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.727399 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_26/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.727435 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_26/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.727472 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_26/se/conv2d/kernel\n",
"I0424 20:53:22.727508 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/se/conv2d/bias from ckpt var efficientnet-b6/blocks_26/se/conv2d/bias\n",
"I0424 20:53:22.727545 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_26/se/conv2d_1/kernel\n",
"I0424 20:53:22.727581 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_26/se/conv2d_1/bias\n",
"I0424 20:53:22.727617 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_26/conv2d_1/kernel\n",
"I0424 20:53:22.727654 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_26/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.727690 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_26/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.727727 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_26/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.727763 140225883285312 utils.py:110] Init efficientnet-b6/blocks_26/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_26/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.727800 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/conv2d/kernel from ckpt var efficientnet-b6/blocks_27/conv2d/kernel\n",
"I0424 20:53:22.727836 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_27/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.727873 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_27/tpu_batch_normalization/beta\n",
"I0424 20:53:22.727909 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_27/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.727946 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_27/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.727982 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_27/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.728018 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_27/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.728054 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_27/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.728091 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_27/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.728127 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_27/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.728163 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_27/se/conv2d/kernel\n",
"I0424 20:53:22.728205 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/se/conv2d/bias from ckpt var efficientnet-b6/blocks_27/se/conv2d/bias\n",
"I0424 20:53:22.728250 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_27/se/conv2d_1/kernel\n",
"I0424 20:53:22.728291 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_27/se/conv2d_1/bias\n",
"I0424 20:53:22.728329 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_27/conv2d_1/kernel\n",
"I0424 20:53:22.728365 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_27/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.728402 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_27/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.728439 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_27/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.728475 140225883285312 utils.py:110] Init efficientnet-b6/blocks_27/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_27/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.728512 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/conv2d/kernel from ckpt var efficientnet-b6/blocks_28/conv2d/kernel\n",
"I0424 20:53:22.728548 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_28/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.728585 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_28/tpu_batch_normalization/beta\n",
"I0424 20:53:22.728622 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_28/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.728659 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_28/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.728696 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_28/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.728732 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_28/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.728769 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_28/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.728805 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_28/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.728842 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_28/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.728878 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_28/se/conv2d/kernel\n",
"I0424 20:53:22.728915 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/se/conv2d/bias from ckpt var efficientnet-b6/blocks_28/se/conv2d/bias\n",
"I0424 20:53:22.728952 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_28/se/conv2d_1/kernel\n",
"I0424 20:53:22.728988 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_28/se/conv2d_1/bias\n",
"I0424 20:53:22.729025 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_28/conv2d_1/kernel\n",
"I0424 20:53:22.729061 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_28/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.729098 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_28/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.729135 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_28/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.729172 140225883285312 utils.py:110] Init efficientnet-b6/blocks_28/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_28/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.729209 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/conv2d/kernel from ckpt var efficientnet-b6/blocks_29/conv2d/kernel\n",
"I0424 20:53:22.729246 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_29/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.729283 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_29/tpu_batch_normalization/beta\n",
"I0424 20:53:22.729320 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_29/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.729357 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_29/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.729394 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_29/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.729431 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_29/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.729467 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_29/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.729504 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_29/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.729540 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_29/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.729578 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_29/se/conv2d/kernel\n",
"I0424 20:53:22.729615 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/se/conv2d/bias from ckpt var efficientnet-b6/blocks_29/se/conv2d/bias\n",
"I0424 20:53:22.729652 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_29/se/conv2d_1/kernel\n",
"I0424 20:53:22.729688 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_29/se/conv2d_1/bias\n",
"I0424 20:53:22.729725 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_29/conv2d_1/kernel\n",
"I0424 20:53:22.729761 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_29/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.729797 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_29/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.729834 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_29/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.729871 140225883285312 utils.py:110] Init efficientnet-b6/blocks_29/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_29/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.729908 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/conv2d/kernel from ckpt var efficientnet-b6/blocks_30/conv2d/kernel\n",
"I0424 20:53:22.729945 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_30/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.729982 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_30/tpu_batch_normalization/beta\n",
"I0424 20:53:22.730018 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_30/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.730056 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_30/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.730093 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_30/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.730129 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_30/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.730166 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_30/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.730203 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_30/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.730240 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_30/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.730277 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_30/se/conv2d/kernel\n",
"I0424 20:53:22.730313 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/se/conv2d/bias from ckpt var efficientnet-b6/blocks_30/se/conv2d/bias\n",
"I0424 20:53:22.730349 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_30/se/conv2d_1/kernel\n",
"I0424 20:53:22.730386 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_30/se/conv2d_1/bias\n",
"I0424 20:53:22.730423 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_30/conv2d_1/kernel\n",
"I0424 20:53:22.730460 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_30/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.730497 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_30/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.730534 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_30/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.730570 140225883285312 utils.py:110] Init efficientnet-b6/blocks_30/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_30/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.730607 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/conv2d/kernel from ckpt var efficientnet-b6/blocks_31/conv2d/kernel\n",
"I0424 20:53:22.730644 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_31/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.730681 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_31/tpu_batch_normalization/beta\n",
"I0424 20:53:22.730717 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_31/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.730754 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_31/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.730791 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_31/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.730828 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_31/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.730865 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_31/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.730901 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_31/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.730938 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_31/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.730975 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_31/se/conv2d/kernel\n",
"I0424 20:53:22.731012 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/se/conv2d/bias from ckpt var efficientnet-b6/blocks_31/se/conv2d/bias\n",
"I0424 20:53:22.731049 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_31/se/conv2d_1/kernel\n",
"I0424 20:53:22.731085 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_31/se/conv2d_1/bias\n",
"I0424 20:53:22.731122 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_31/conv2d_1/kernel\n",
"I0424 20:53:22.731159 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_31/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.731196 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_31/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.731237 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_31/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.731274 140225883285312 utils.py:110] Init efficientnet-b6/blocks_31/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_31/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.731311 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/conv2d/kernel from ckpt var efficientnet-b6/blocks_32/conv2d/kernel\n",
"I0424 20:53:22.731348 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_32/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.731385 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_32/tpu_batch_normalization/beta\n",
"I0424 20:53:22.731422 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_32/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.731459 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_32/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.731496 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_32/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.731532 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_32/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.731568 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_32/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.731605 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_32/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.731642 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_32/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.731678 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_32/se/conv2d/kernel\n",
"I0424 20:53:22.731714 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/se/conv2d/bias from ckpt var efficientnet-b6/blocks_32/se/conv2d/bias\n",
"I0424 20:53:22.731752 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_32/se/conv2d_1/kernel\n",
"I0424 20:53:22.731788 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_32/se/conv2d_1/bias\n",
"I0424 20:53:22.731825 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_32/conv2d_1/kernel\n",
"I0424 20:53:22.731862 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_32/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.731898 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_32/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.731935 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_32/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.731972 140225883285312 utils.py:110] Init efficientnet-b6/blocks_32/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_32/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.732009 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/conv2d/kernel from ckpt var efficientnet-b6/blocks_33/conv2d/kernel\n",
"I0424 20:53:22.732046 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_33/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.732083 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_33/tpu_batch_normalization/beta\n",
"I0424 20:53:22.732120 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_33/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.732156 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_33/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.732193 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_33/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.732230 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_33/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.732268 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_33/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.732304 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_33/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.732342 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_33/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.732378 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_33/se/conv2d/kernel\n",
"I0424 20:53:22.732414 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/se/conv2d/bias from ckpt var efficientnet-b6/blocks_33/se/conv2d/bias\n",
"I0424 20:53:22.732451 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_33/se/conv2d_1/kernel\n",
"I0424 20:53:22.732488 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_33/se/conv2d_1/bias\n",
"I0424 20:53:22.732525 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_33/conv2d_1/kernel\n",
"I0424 20:53:22.732561 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_33/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.732598 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_33/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.732635 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_33/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.732672 140225883285312 utils.py:110] Init efficientnet-b6/blocks_33/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_33/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.732709 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/conv2d/kernel from ckpt var efficientnet-b6/blocks_34/conv2d/kernel\n",
"I0424 20:53:22.732746 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_34/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.732783 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_34/tpu_batch_normalization/beta\n",
"I0424 20:53:22.732819 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_34/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.732856 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_34/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.732893 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_34/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.732929 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_34/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.732966 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_34/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.733003 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_34/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.733040 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_34/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.733077 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_34/se/conv2d/kernel\n",
"I0424 20:53:22.733114 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/se/conv2d/bias from ckpt var efficientnet-b6/blocks_34/se/conv2d/bias\n",
"I0424 20:53:22.733150 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_34/se/conv2d_1/kernel\n",
"I0424 20:53:22.733187 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_34/se/conv2d_1/bias\n",
"I0424 20:53:22.733223 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_34/conv2d_1/kernel\n",
"I0424 20:53:22.733261 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_34/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.733297 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_34/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.733341 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_34/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.733386 140225883285312 utils.py:110] Init efficientnet-b6/blocks_34/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_34/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.733427 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/conv2d/kernel from ckpt var efficientnet-b6/blocks_35/conv2d/kernel\n",
"I0424 20:53:22.733464 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_35/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.733501 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_35/tpu_batch_normalization/beta\n",
"I0424 20:53:22.733537 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_35/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.733574 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_35/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.733611 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_35/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.733648 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_35/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.733685 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_35/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.733722 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_35/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.733758 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_35/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.733796 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_35/se/conv2d/kernel\n",
"I0424 20:53:22.733833 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/se/conv2d/bias from ckpt var efficientnet-b6/blocks_35/se/conv2d/bias\n",
"I0424 20:53:22.733869 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_35/se/conv2d_1/kernel\n",
"I0424 20:53:22.733906 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_35/se/conv2d_1/bias\n",
"I0424 20:53:22.733942 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_35/conv2d_1/kernel\n",
"I0424 20:53:22.733979 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_35/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.734017 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_35/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.734054 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_35/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.734091 140225883285312 utils.py:110] Init efficientnet-b6/blocks_35/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_35/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.734129 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/conv2d/kernel from ckpt var efficientnet-b6/blocks_36/conv2d/kernel\n",
"I0424 20:53:22.734166 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_36/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.734203 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_36/tpu_batch_normalization/beta\n",
"I0424 20:53:22.734240 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_36/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.734277 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_36/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.734315 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_36/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.734352 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_36/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.734388 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_36/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.734426 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_36/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.734467 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_36/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.734504 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_36/se/conv2d/kernel\n",
"I0424 20:53:22.734541 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/se/conv2d/bias from ckpt var efficientnet-b6/blocks_36/se/conv2d/bias\n",
"I0424 20:53:22.734578 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_36/se/conv2d_1/kernel\n",
"I0424 20:53:22.734615 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_36/se/conv2d_1/bias\n",
"I0424 20:53:22.734651 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_36/conv2d_1/kernel\n",
"I0424 20:53:22.734688 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_36/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.734725 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_36/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.734763 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_36/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.734800 140225883285312 utils.py:110] Init efficientnet-b6/blocks_36/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_36/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.734837 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/conv2d/kernel from ckpt var efficientnet-b6/blocks_37/conv2d/kernel\n",
"I0424 20:53:22.734874 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_37/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.734911 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_37/tpu_batch_normalization/beta\n",
"I0424 20:53:22.734948 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_37/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.734984 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_37/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.735021 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_37/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.735057 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_37/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.735093 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_37/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.735130 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_37/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.735167 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_37/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.735204 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_37/se/conv2d/kernel\n",
"I0424 20:53:22.735248 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/se/conv2d/bias from ckpt var efficientnet-b6/blocks_37/se/conv2d/bias\n",
"I0424 20:53:22.735285 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_37/se/conv2d_1/kernel\n",
"I0424 20:53:22.735321 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_37/se/conv2d_1/bias\n",
"I0424 20:53:22.735358 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_37/conv2d_1/kernel\n",
"I0424 20:53:22.735395 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_37/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.735432 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_37/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.735468 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_37/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.735505 140225883285312 utils.py:110] Init efficientnet-b6/blocks_37/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_37/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.735543 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/conv2d/kernel from ckpt var efficientnet-b6/blocks_38/conv2d/kernel\n",
"I0424 20:53:22.735580 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_38/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.735616 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_38/tpu_batch_normalization/beta\n",
"I0424 20:53:22.735653 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_38/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.735690 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_38/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.735727 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_38/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.735764 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_38/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.735800 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_38/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.735837 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_38/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.735873 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_38/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.735910 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_38/se/conv2d/kernel\n",
"I0424 20:53:22.735948 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/se/conv2d/bias from ckpt var efficientnet-b6/blocks_38/se/conv2d/bias\n",
"I0424 20:53:22.735984 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_38/se/conv2d_1/kernel\n",
"I0424 20:53:22.736020 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_38/se/conv2d_1/bias\n",
"I0424 20:53:22.736057 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_38/conv2d_1/kernel\n",
"I0424 20:53:22.736094 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_38/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.736131 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_38/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.736167 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_38/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.736204 140225883285312 utils.py:110] Init efficientnet-b6/blocks_38/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_38/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.736241 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/conv2d/kernel from ckpt var efficientnet-b6/blocks_39/conv2d/kernel\n",
"I0424 20:53:22.736278 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_39/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.736314 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_39/tpu_batch_normalization/beta\n",
"I0424 20:53:22.736351 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_39/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.736388 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_39/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.736424 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_39/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.736460 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_39/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.736496 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_39/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.736532 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_39/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.736569 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_39/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.736605 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_39/se/conv2d/kernel\n",
"I0424 20:53:22.736643 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/se/conv2d/bias from ckpt var efficientnet-b6/blocks_39/se/conv2d/bias\n",
"I0424 20:53:22.736679 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_39/se/conv2d_1/kernel\n",
"I0424 20:53:22.736715 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_39/se/conv2d_1/bias\n",
"I0424 20:53:22.736751 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_39/conv2d_1/kernel\n",
"I0424 20:53:22.736788 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_39/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.736824 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_39/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.736860 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_39/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.736897 140225883285312 utils.py:110] Init efficientnet-b6/blocks_39/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_39/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.736934 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/conv2d/kernel from ckpt var efficientnet-b6/blocks_40/conv2d/kernel\n",
"I0424 20:53:22.736971 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_40/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.737008 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_40/tpu_batch_normalization/beta\n",
"I0424 20:53:22.737045 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_40/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.737082 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_40/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.737119 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_40/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.737156 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_40/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.737192 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_40/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.737229 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_40/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.737266 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_40/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.737302 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_40/se/conv2d/kernel\n",
"I0424 20:53:22.737338 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/se/conv2d/bias from ckpt var efficientnet-b6/blocks_40/se/conv2d/bias\n",
"I0424 20:53:22.737375 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_40/se/conv2d_1/kernel\n",
"I0424 20:53:22.737411 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_40/se/conv2d_1/bias\n",
"I0424 20:53:22.737447 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_40/conv2d_1/kernel\n",
"I0424 20:53:22.737483 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_40/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.737521 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_40/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.737558 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_40/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.737595 140225883285312 utils.py:110] Init efficientnet-b6/blocks_40/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_40/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.737632 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/conv2d/kernel from ckpt var efficientnet-b6/blocks_41/conv2d/kernel\n",
"I0424 20:53:22.737668 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_41/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.737705 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_41/tpu_batch_normalization/beta\n",
"I0424 20:53:22.737741 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_41/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.737778 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_41/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.737815 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_41/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.737851 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_41/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.737887 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_41/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.737923 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_41/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.737961 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_41/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.737997 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_41/se/conv2d/kernel\n",
"I0424 20:53:22.738034 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/se/conv2d/bias from ckpt var efficientnet-b6/blocks_41/se/conv2d/bias\n",
"I0424 20:53:22.738070 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_41/se/conv2d_1/kernel\n",
"I0424 20:53:22.738107 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_41/se/conv2d_1/bias\n",
"I0424 20:53:22.738143 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_41/conv2d_1/kernel\n",
"I0424 20:53:22.738179 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_41/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.738216 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_41/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.738252 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_41/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.738289 140225883285312 utils.py:110] Init efficientnet-b6/blocks_41/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_41/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.738327 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/conv2d/kernel from ckpt var efficientnet-b6/blocks_42/conv2d/kernel\n",
"I0424 20:53:22.738363 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_42/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.738400 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_42/tpu_batch_normalization/beta\n",
"I0424 20:53:22.738437 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_42/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.738485 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_42/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.738525 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_42/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.738564 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_42/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.738600 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_42/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.738637 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_42/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.738674 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_42/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.738711 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_42/se/conv2d/kernel\n",
"I0424 20:53:22.738748 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/se/conv2d/bias from ckpt var efficientnet-b6/blocks_42/se/conv2d/bias\n",
"I0424 20:53:22.738785 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_42/se/conv2d_1/kernel\n",
"I0424 20:53:22.738822 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_42/se/conv2d_1/bias\n",
"I0424 20:53:22.738858 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_42/conv2d_1/kernel\n",
"I0424 20:53:22.738896 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_42/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.738933 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_42/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.738969 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_42/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.739006 140225883285312 utils.py:110] Init efficientnet-b6/blocks_42/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_42/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.739043 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/conv2d/kernel from ckpt var efficientnet-b6/blocks_43/conv2d/kernel\n",
"I0424 20:53:22.739081 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_43/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.739118 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_43/tpu_batch_normalization/beta\n",
"I0424 20:53:22.739155 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_43/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.739192 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_43/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.739233 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_43/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.739270 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_43/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.739306 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_43/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.739343 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_43/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.739380 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_43/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.739417 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_43/se/conv2d/kernel\n",
"I0424 20:53:22.739453 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/se/conv2d/bias from ckpt var efficientnet-b6/blocks_43/se/conv2d/bias\n",
"I0424 20:53:22.739490 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_43/se/conv2d_1/kernel\n",
"I0424 20:53:22.739526 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_43/se/conv2d_1/bias\n",
"I0424 20:53:22.739563 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_43/conv2d_1/kernel\n",
"I0424 20:53:22.739600 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_43/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.739638 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_43/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.739675 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_43/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.739712 140225883285312 utils.py:110] Init efficientnet-b6/blocks_43/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_43/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.739749 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/conv2d/kernel from ckpt var efficientnet-b6/blocks_44/conv2d/kernel\n",
"I0424 20:53:22.739786 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/tpu_batch_normalization/gamma from ckpt var efficientnet-b6/blocks_44/tpu_batch_normalization/gamma\n",
"I0424 20:53:22.739824 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/tpu_batch_normalization/beta from ckpt var efficientnet-b6/blocks_44/tpu_batch_normalization/beta\n",
"I0424 20:53:22.739861 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/tpu_batch_normalization/moving_mean from ckpt var efficientnet-b6/blocks_44/tpu_batch_normalization/moving_mean\n",
"I0424 20:53:22.739898 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/tpu_batch_normalization/moving_variance from ckpt var efficientnet-b6/blocks_44/tpu_batch_normalization/moving_variance\n",
"I0424 20:53:22.739935 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/depthwise_conv2d/depthwise_kernel from ckpt var efficientnet-b6/blocks_44/depthwise_conv2d/depthwise_kernel\n",
"I0424 20:53:22.739972 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/tpu_batch_normalization_1/gamma from ckpt var efficientnet-b6/blocks_44/tpu_batch_normalization_1/gamma\n",
"I0424 20:53:22.740009 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/tpu_batch_normalization_1/beta from ckpt var efficientnet-b6/blocks_44/tpu_batch_normalization_1/beta\n",
"I0424 20:53:22.740046 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/tpu_batch_normalization_1/moving_mean from ckpt var efficientnet-b6/blocks_44/tpu_batch_normalization_1/moving_mean\n",
"I0424 20:53:22.740082 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/tpu_batch_normalization_1/moving_variance from ckpt var efficientnet-b6/blocks_44/tpu_batch_normalization_1/moving_variance\n",
"I0424 20:53:22.740119 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/se/conv2d/kernel from ckpt var efficientnet-b6/blocks_44/se/conv2d/kernel\n",
"I0424 20:53:22.740156 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/se/conv2d/bias from ckpt var efficientnet-b6/blocks_44/se/conv2d/bias\n",
"I0424 20:53:22.740192 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/se/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_44/se/conv2d_1/kernel\n",
"I0424 20:53:22.740229 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/se/conv2d_1/bias from ckpt var efficientnet-b6/blocks_44/se/conv2d_1/bias\n",
"I0424 20:53:22.740266 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/conv2d_1/kernel from ckpt var efficientnet-b6/blocks_44/conv2d_1/kernel\n",
"I0424 20:53:22.740302 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/tpu_batch_normalization_2/gamma from ckpt var efficientnet-b6/blocks_44/tpu_batch_normalization_2/gamma\n",
"I0424 20:53:22.740339 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/tpu_batch_normalization_2/beta from ckpt var efficientnet-b6/blocks_44/tpu_batch_normalization_2/beta\n",
"I0424 20:53:22.740375 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/tpu_batch_normalization_2/moving_mean from ckpt var efficientnet-b6/blocks_44/tpu_batch_normalization_2/moving_mean\n",
"I0424 20:53:22.740412 140225883285312 utils.py:110] Init efficientnet-b6/blocks_44/tpu_batch_normalization_2/moving_variance from ckpt var efficientnet-b6/blocks_44/tpu_batch_normalization_2/moving_variance\n",
"I0424 20:53:22.740449 140225883285312 utils.py:107] skip efficientnet-b6/stem/conv2d/kernel/Momentum (efficientnet-b6/stem/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740487 140225883285312 utils.py:107] skip efficientnet-b6/stem/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/stem/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740525 140225883285312 utils.py:107] skip efficientnet-b6/stem/tpu_batch_normalization/beta/Momentum (efficientnet-b6/stem/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740562 140225883285312 utils.py:107] skip efficientnet-b6/blocks_0/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_0/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740601 140225883285312 utils.py:107] skip efficientnet-b6/blocks_0/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_0/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740638 140225883285312 utils.py:107] skip efficientnet-b6/blocks_0/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_0/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740676 140225883285312 utils.py:107] skip efficientnet-b6/blocks_0/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_0/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740714 140225883285312 utils.py:107] skip efficientnet-b6/blocks_0/se/conv2d/bias/Momentum (efficientnet-b6/blocks_0/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740751 140225883285312 utils.py:107] skip efficientnet-b6/blocks_0/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_0/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740788 140225883285312 utils.py:107] skip efficientnet-b6/blocks_0/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_0/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740826 140225883285312 utils.py:107] skip efficientnet-b6/blocks_0/conv2d/kernel/Momentum (efficientnet-b6/blocks_0/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740864 140225883285312 utils.py:107] skip efficientnet-b6/blocks_0/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_0/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740901 140225883285312 utils.py:107] skip efficientnet-b6/blocks_0/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_0/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740939 140225883285312 utils.py:107] skip efficientnet-b6/blocks_1/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_1/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.740977 140225883285312 utils.py:107] skip efficientnet-b6/blocks_1/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_1/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741014 140225883285312 utils.py:107] skip efficientnet-b6/blocks_1/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_1/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741052 140225883285312 utils.py:107] skip efficientnet-b6/blocks_1/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_1/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741090 140225883285312 utils.py:107] skip efficientnet-b6/blocks_1/se/conv2d/bias/Momentum (efficientnet-b6/blocks_1/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741127 140225883285312 utils.py:107] skip efficientnet-b6/blocks_1/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_1/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741165 140225883285312 utils.py:107] skip efficientnet-b6/blocks_1/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_1/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741202 140225883285312 utils.py:107] skip efficientnet-b6/blocks_1/conv2d/kernel/Momentum (efficientnet-b6/blocks_1/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741240 140225883285312 utils.py:107] skip efficientnet-b6/blocks_1/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_1/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741277 140225883285312 utils.py:107] skip efficientnet-b6/blocks_1/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_1/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741315 140225883285312 utils.py:107] skip efficientnet-b6/blocks_2/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_2/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741353 140225883285312 utils.py:107] skip efficientnet-b6/blocks_2/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_2/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741390 140225883285312 utils.py:107] skip efficientnet-b6/blocks_2/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_2/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741428 140225883285312 utils.py:107] skip efficientnet-b6/blocks_2/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_2/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741465 140225883285312 utils.py:107] skip efficientnet-b6/blocks_2/se/conv2d/bias/Momentum (efficientnet-b6/blocks_2/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741503 140225883285312 utils.py:107] skip efficientnet-b6/blocks_2/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_2/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741540 140225883285312 utils.py:107] skip efficientnet-b6/blocks_2/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_2/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741577 140225883285312 utils.py:107] skip efficientnet-b6/blocks_2/conv2d/kernel/Momentum (efficientnet-b6/blocks_2/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741614 140225883285312 utils.py:107] skip efficientnet-b6/blocks_2/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_2/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741652 140225883285312 utils.py:107] skip efficientnet-b6/blocks_2/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_2/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741690 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/conv2d/kernel/Momentum (efficientnet-b6/blocks_3/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741727 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_3/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741764 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_3/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741802 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_3/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741839 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_3/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741877 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_3/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741914 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_3/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741952 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/se/conv2d/bias/Momentum (efficientnet-b6/blocks_3/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.741990 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_3/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742027 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_3/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742065 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_3/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742103 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_3/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742141 140225883285312 utils.py:107] skip efficientnet-b6/blocks_3/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_3/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742178 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/conv2d/kernel/Momentum (efficientnet-b6/blocks_4/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742216 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_4/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742253 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_4/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742291 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_4/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742329 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_4/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742367 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_4/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742405 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_4/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742442 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/se/conv2d/bias/Momentum (efficientnet-b6/blocks_4/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742480 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_4/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742517 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_4/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742555 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_4/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742593 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_4/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742631 140225883285312 utils.py:107] skip efficientnet-b6/blocks_4/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_4/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742669 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/conv2d/kernel/Momentum (efficientnet-b6/blocks_5/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742707 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_5/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742745 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_5/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742783 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_5/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742820 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_5/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742858 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_5/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742896 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_5/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742933 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/se/conv2d/bias/Momentum (efficientnet-b6/blocks_5/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.742971 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_5/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743009 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_5/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743046 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_5/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743084 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_5/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743123 140225883285312 utils.py:107] skip efficientnet-b6/blocks_5/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_5/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743160 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/conv2d/kernel/Momentum (efficientnet-b6/blocks_6/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743198 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_6/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743239 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_6/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743276 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_6/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743314 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_6/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743352 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_6/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743389 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_6/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743427 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/se/conv2d/bias/Momentum (efficientnet-b6/blocks_6/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743464 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_6/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743502 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_6/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743539 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_6/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743582 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_6/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743627 140225883285312 utils.py:107] skip efficientnet-b6/blocks_6/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_6/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743669 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/conv2d/kernel/Momentum (efficientnet-b6/blocks_7/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743707 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_7/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743744 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_7/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743782 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_7/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743820 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_7/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743859 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_7/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743896 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_7/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743934 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/se/conv2d/bias/Momentum (efficientnet-b6/blocks_7/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.743972 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_7/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744009 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_7/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744047 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_7/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744084 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_7/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744121 140225883285312 utils.py:107] skip efficientnet-b6/blocks_7/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_7/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744159 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/conv2d/kernel/Momentum (efficientnet-b6/blocks_8/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744197 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_8/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744235 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_8/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744273 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_8/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744310 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_8/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744348 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_8/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744385 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_8/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744422 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/se/conv2d/bias/Momentum (efficientnet-b6/blocks_8/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744460 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_8/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744497 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_8/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744534 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_8/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744572 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_8/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744610 140225883285312 utils.py:107] skip efficientnet-b6/blocks_8/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_8/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744647 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/conv2d/kernel/Momentum (efficientnet-b6/blocks_9/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744685 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_9/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744722 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_9/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744760 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_9/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744798 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_9/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744836 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_9/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744874 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_9/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744912 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/se/conv2d/bias/Momentum (efficientnet-b6/blocks_9/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744949 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_9/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.744987 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_9/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745024 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_9/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745062 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_9/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745100 140225883285312 utils.py:107] skip efficientnet-b6/blocks_9/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_9/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745138 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/conv2d/kernel/Momentum (efficientnet-b6/blocks_10/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745175 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_10/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745213 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_10/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745250 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_10/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745288 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_10/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745325 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_10/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745362 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_10/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745400 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/se/conv2d/bias/Momentum (efficientnet-b6/blocks_10/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745438 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_10/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745475 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_10/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745513 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_10/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745551 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_10/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745589 140225883285312 utils.py:107] skip efficientnet-b6/blocks_10/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_10/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745626 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/conv2d/kernel/Momentum (efficientnet-b6/blocks_11/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745663 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_11/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745700 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_11/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745737 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_11/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745774 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_11/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745811 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_11/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745849 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_11/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745886 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/se/conv2d/bias/Momentum (efficientnet-b6/blocks_11/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745923 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_11/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745960 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_11/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.745997 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_11/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746034 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_11/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746072 140225883285312 utils.py:107] skip efficientnet-b6/blocks_11/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_11/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746109 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/conv2d/kernel/Momentum (efficientnet-b6/blocks_12/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746146 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_12/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746183 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_12/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746221 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_12/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746259 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_12/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746296 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_12/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746333 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_12/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746371 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/se/conv2d/bias/Momentum (efficientnet-b6/blocks_12/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746408 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_12/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746446 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_12/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746483 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_12/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746520 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_12/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746558 140225883285312 utils.py:107] skip efficientnet-b6/blocks_12/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_12/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746595 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/conv2d/kernel/Momentum (efficientnet-b6/blocks_13/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746632 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_13/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746669 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_13/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746706 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_13/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746743 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_13/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746781 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_13/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746818 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_13/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746855 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/se/conv2d/bias/Momentum (efficientnet-b6/blocks_13/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746894 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_13/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746932 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_13/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.746969 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_13/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747006 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_13/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747044 140225883285312 utils.py:107] skip efficientnet-b6/blocks_13/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_13/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747081 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/conv2d/kernel/Momentum (efficientnet-b6/blocks_14/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747118 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_14/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747156 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_14/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747194 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_14/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747235 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_14/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747272 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_14/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747309 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_14/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747347 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/se/conv2d/bias/Momentum (efficientnet-b6/blocks_14/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747384 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_14/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747421 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_14/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747458 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_14/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747496 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_14/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747533 140225883285312 utils.py:107] skip efficientnet-b6/blocks_14/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_14/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747570 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/conv2d/kernel/Momentum (efficientnet-b6/blocks_15/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747607 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_15/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747645 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_15/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747683 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_15/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747720 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_15/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747757 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_15/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747796 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_15/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747833 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/se/conv2d/bias/Momentum (efficientnet-b6/blocks_15/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747871 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_15/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747908 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_15/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747946 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_15/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.747984 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_15/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748022 140225883285312 utils.py:107] skip efficientnet-b6/blocks_15/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_15/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748060 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/conv2d/kernel/Momentum (efficientnet-b6/blocks_16/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748097 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_16/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748135 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_16/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748172 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_16/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748209 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_16/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748247 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_16/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748284 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_16/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748321 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/se/conv2d/bias/Momentum (efficientnet-b6/blocks_16/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748358 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_16/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748395 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_16/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748432 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_16/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748468 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_16/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748506 140225883285312 utils.py:107] skip efficientnet-b6/blocks_16/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_16/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748544 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/conv2d/kernel/Momentum (efficientnet-b6/blocks_17/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748581 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_17/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748619 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_17/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748656 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_17/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748697 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_17/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748745 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_17/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748787 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_17/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748825 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/se/conv2d/bias/Momentum (efficientnet-b6/blocks_17/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748863 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_17/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748901 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_17/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748938 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_17/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.748975 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_17/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749012 140225883285312 utils.py:107] skip efficientnet-b6/blocks_17/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_17/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749050 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/conv2d/kernel/Momentum (efficientnet-b6/blocks_18/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749087 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_18/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749125 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_18/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749163 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_18/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749201 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_18/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749239 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_18/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749276 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_18/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749314 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/se/conv2d/bias/Momentum (efficientnet-b6/blocks_18/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749351 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_18/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749388 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_18/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749425 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_18/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749463 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_18/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749501 140225883285312 utils.py:107] skip efficientnet-b6/blocks_18/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_18/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749538 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/conv2d/kernel/Momentum (efficientnet-b6/blocks_19/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749576 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_19/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749613 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_19/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749651 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_19/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749688 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_19/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749726 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_19/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749763 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_19/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749800 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/se/conv2d/bias/Momentum (efficientnet-b6/blocks_19/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749838 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_19/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749876 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_19/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749913 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_19/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749950 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_19/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.749988 140225883285312 utils.py:107] skip efficientnet-b6/blocks_19/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_19/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750025 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/conv2d/kernel/Momentum (efficientnet-b6/blocks_20/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750063 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_20/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750101 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_20/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750138 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_20/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750176 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_20/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750213 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_20/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750251 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_20/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750288 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/se/conv2d/bias/Momentum (efficientnet-b6/blocks_20/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750325 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_20/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750363 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_20/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750401 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_20/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750438 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_20/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750476 140225883285312 utils.py:107] skip efficientnet-b6/blocks_20/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_20/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750513 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/conv2d/kernel/Momentum (efficientnet-b6/blocks_21/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750550 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_21/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750588 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_21/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750625 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_21/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750663 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_21/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750700 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_21/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750737 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_21/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750775 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/se/conv2d/bias/Momentum (efficientnet-b6/blocks_21/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750812 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_21/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750849 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_21/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750886 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_21/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750924 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_21/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750961 140225883285312 utils.py:107] skip efficientnet-b6/blocks_21/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_21/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.750998 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/conv2d/kernel/Momentum (efficientnet-b6/blocks_22/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751036 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_22/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751073 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_22/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751111 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_22/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751148 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_22/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751185 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_22/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751227 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_22/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751266 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/se/conv2d/bias/Momentum (efficientnet-b6/blocks_22/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751303 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_22/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751341 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_22/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751378 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_22/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751415 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_22/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751454 140225883285312 utils.py:107] skip efficientnet-b6/blocks_22/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_22/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751491 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/conv2d/kernel/Momentum (efficientnet-b6/blocks_23/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751529 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_23/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751567 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_23/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751605 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_23/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751643 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_23/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751681 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_23/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751719 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_23/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751756 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/se/conv2d/bias/Momentum (efficientnet-b6/blocks_23/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751793 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_23/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751831 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_23/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751868 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_23/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751906 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_23/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751943 140225883285312 utils.py:107] skip efficientnet-b6/blocks_23/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_23/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.751981 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/conv2d/kernel/Momentum (efficientnet-b6/blocks_24/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752018 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_24/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752056 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_24/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752094 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_24/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752131 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_24/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752169 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_24/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752207 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_24/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752244 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/se/conv2d/bias/Momentum (efficientnet-b6/blocks_24/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752282 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_24/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752320 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_24/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752357 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_24/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752394 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_24/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752432 140225883285312 utils.py:107] skip efficientnet-b6/blocks_24/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_24/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752469 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/conv2d/kernel/Momentum (efficientnet-b6/blocks_25/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752507 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_25/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752544 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_25/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752581 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_25/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752619 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_25/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752656 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_25/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752694 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_25/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752731 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/se/conv2d/bias/Momentum (efficientnet-b6/blocks_25/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752769 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_25/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752806 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_25/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752843 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_25/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752880 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_25/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752918 140225883285312 utils.py:107] skip efficientnet-b6/blocks_25/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_25/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752955 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/conv2d/kernel/Momentum (efficientnet-b6/blocks_26/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.752992 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_26/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753029 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_26/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753067 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_26/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753104 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_26/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753142 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_26/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753178 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_26/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753216 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/se/conv2d/bias/Momentum (efficientnet-b6/blocks_26/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753253 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_26/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753290 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_26/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753327 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_26/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753364 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_26/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753400 140225883285312 utils.py:107] skip efficientnet-b6/blocks_26/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_26/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753437 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/conv2d/kernel/Momentum (efficientnet-b6/blocks_27/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753474 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_27/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753511 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_27/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753549 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_27/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753587 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_27/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753623 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_27/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753661 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_27/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753699 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/se/conv2d/bias/Momentum (efficientnet-b6/blocks_27/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753736 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_27/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753773 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_27/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753812 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_27/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753859 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_27/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753902 140225883285312 utils.py:107] skip efficientnet-b6/blocks_27/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_27/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753940 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/conv2d/kernel/Momentum (efficientnet-b6/blocks_28/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.753978 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_28/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754015 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_28/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754053 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_28/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754090 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_28/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754128 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_28/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754165 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_28/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754202 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/se/conv2d/bias/Momentum (efficientnet-b6/blocks_28/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754240 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_28/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754277 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_28/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754315 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_28/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754352 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_28/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754390 140225883285312 utils.py:107] skip efficientnet-b6/blocks_28/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_28/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754428 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/conv2d/kernel/Momentum (efficientnet-b6/blocks_29/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754465 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_29/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754503 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_29/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754541 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_29/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754578 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_29/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754616 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_29/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754654 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_29/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754692 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/se/conv2d/bias/Momentum (efficientnet-b6/blocks_29/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754729 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_29/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754768 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_29/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754805 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_29/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754843 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_29/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754880 140225883285312 utils.py:107] skip efficientnet-b6/blocks_29/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_29/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754918 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/conv2d/kernel/Momentum (efficientnet-b6/blocks_30/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754956 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_30/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.754993 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_30/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755031 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_30/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755069 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_30/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755106 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_30/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755144 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_30/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755182 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/se/conv2d/bias/Momentum (efficientnet-b6/blocks_30/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755222 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_30/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755261 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_30/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755299 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_30/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755336 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_30/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755374 140225883285312 utils.py:107] skip efficientnet-b6/blocks_30/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_30/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755411 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/conv2d/kernel/Momentum (efficientnet-b6/blocks_31/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755449 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_31/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755487 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_31/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755524 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_31/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755561 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_31/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755599 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_31/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755636 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_31/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755674 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/se/conv2d/bias/Momentum (efficientnet-b6/blocks_31/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755711 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_31/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755748 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_31/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755786 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_31/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755823 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_31/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755861 140225883285312 utils.py:107] skip efficientnet-b6/blocks_31/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_31/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755898 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/conv2d/kernel/Momentum (efficientnet-b6/blocks_32/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755935 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_32/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.755973 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_32/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756011 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_32/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756049 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_32/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756087 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_32/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756124 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_32/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756161 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/se/conv2d/bias/Momentum (efficientnet-b6/blocks_32/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756199 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_32/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756236 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_32/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756273 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_32/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756310 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_32/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756348 140225883285312 utils.py:107] skip efficientnet-b6/blocks_32/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_32/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756386 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/conv2d/kernel/Momentum (efficientnet-b6/blocks_33/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756424 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_33/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756461 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_33/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756499 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_33/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756537 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_33/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756574 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_33/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756611 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_33/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756649 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/se/conv2d/bias/Momentum (efficientnet-b6/blocks_33/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756687 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_33/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756724 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_33/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756761 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_33/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756799 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_33/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756837 140225883285312 utils.py:107] skip efficientnet-b6/blocks_33/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_33/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756875 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/conv2d/kernel/Momentum (efficientnet-b6/blocks_34/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756913 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_34/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756951 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_34/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.756988 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_34/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757026 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_34/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757063 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_34/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757100 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_34/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757138 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/se/conv2d/bias/Momentum (efficientnet-b6/blocks_34/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757174 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_34/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757212 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_34/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757249 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_34/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757286 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_34/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757323 140225883285312 utils.py:107] skip efficientnet-b6/blocks_34/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_34/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757361 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/conv2d/kernel/Momentum (efficientnet-b6/blocks_35/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757399 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_35/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757436 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_35/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757474 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_35/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757512 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_35/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757549 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_35/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757587 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_35/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757624 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/se/conv2d/bias/Momentum (efficientnet-b6/blocks_35/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757662 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_35/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757700 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_35/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757737 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_35/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757774 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_35/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757811 140225883285312 utils.py:107] skip efficientnet-b6/blocks_35/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_35/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757849 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/conv2d/kernel/Momentum (efficientnet-b6/blocks_36/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757886 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_36/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757923 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_36/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757961 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_36/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.757998 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_36/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758036 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_36/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758073 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_36/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758110 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/se/conv2d/bias/Momentum (efficientnet-b6/blocks_36/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758148 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_36/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758186 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_36/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758223 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_36/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758260 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_36/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758298 140225883285312 utils.py:107] skip efficientnet-b6/blocks_36/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_36/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758336 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/conv2d/kernel/Momentum (efficientnet-b6/blocks_37/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758372 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_37/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758410 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_37/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758448 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_37/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758485 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_37/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758523 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_37/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758560 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_37/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758598 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/se/conv2d/bias/Momentum (efficientnet-b6/blocks_37/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758636 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_37/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758673 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_37/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758711 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_37/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758748 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_37/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758787 140225883285312 utils.py:107] skip efficientnet-b6/blocks_37/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_37/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758824 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/conv2d/kernel/Momentum (efficientnet-b6/blocks_38/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758861 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_38/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758899 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_38/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758940 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_38/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.758986 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_38/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759028 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_38/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759066 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_38/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759104 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/se/conv2d/bias/Momentum (efficientnet-b6/blocks_38/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759141 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_38/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759178 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_38/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759222 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_38/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759261 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_38/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759299 140225883285312 utils.py:107] skip efficientnet-b6/blocks_38/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_38/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759337 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/conv2d/kernel/Momentum (efficientnet-b6/blocks_39/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759375 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_39/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759413 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_39/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759450 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_39/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759488 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_39/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759526 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_39/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759563 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_39/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759601 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/se/conv2d/bias/Momentum (efficientnet-b6/blocks_39/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759638 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_39/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759676 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_39/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759713 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_39/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759751 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_39/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759788 140225883285312 utils.py:107] skip efficientnet-b6/blocks_39/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_39/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759826 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/conv2d/kernel/Momentum (efficientnet-b6/blocks_40/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759864 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_40/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759902 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_40/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759940 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_40/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.759977 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_40/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760015 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_40/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760053 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_40/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760091 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/se/conv2d/bias/Momentum (efficientnet-b6/blocks_40/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760128 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_40/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760167 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_40/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760204 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_40/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760241 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_40/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760279 140225883285312 utils.py:107] skip efficientnet-b6/blocks_40/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_40/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760317 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/conv2d/kernel/Momentum (efficientnet-b6/blocks_41/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760354 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_41/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760392 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_41/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760430 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_41/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760467 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_41/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760505 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_41/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760542 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_41/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760579 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/se/conv2d/bias/Momentum (efficientnet-b6/blocks_41/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760617 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_41/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760653 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_41/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760691 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_41/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760729 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_41/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760766 140225883285312 utils.py:107] skip efficientnet-b6/blocks_41/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_41/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760804 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/conv2d/kernel/Momentum (efficientnet-b6/blocks_42/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760841 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_42/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760879 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_42/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760916 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_42/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760954 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_42/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.760992 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_42/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761030 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_42/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761067 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/se/conv2d/bias/Momentum (efficientnet-b6/blocks_42/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761105 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_42/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761142 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_42/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761179 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_42/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761216 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_42/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761254 140225883285312 utils.py:107] skip efficientnet-b6/blocks_42/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_42/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761291 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/conv2d/kernel/Momentum (efficientnet-b6/blocks_43/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761328 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_43/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761366 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_43/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761403 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_43/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761441 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_43/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761480 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_43/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761517 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_43/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761555 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/se/conv2d/bias/Momentum (efficientnet-b6/blocks_43/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761593 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_43/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761631 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_43/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761668 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_43/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761706 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_43/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761744 140225883285312 utils.py:107] skip efficientnet-b6/blocks_43/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_43/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761782 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/conv2d/kernel/Momentum (efficientnet-b6/blocks_44/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761819 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/tpu_batch_normalization/gamma/Momentum (efficientnet-b6/blocks_44/tpu_batch_normalization/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761856 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/tpu_batch_normalization/beta/Momentum (efficientnet-b6/blocks_44/tpu_batch_normalization/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761894 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/depthwise_conv2d/depthwise_kernel/Momentum (efficientnet-b6/blocks_44/depthwise_conv2d/depthwise_kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761932 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/tpu_batch_normalization_1/gamma/Momentum (efficientnet-b6/blocks_44/tpu_batch_normalization_1/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.761970 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/tpu_batch_normalization_1/beta/Momentum (efficientnet-b6/blocks_44/tpu_batch_normalization_1/beta/Momentum) -- not in ckpt\n",
"I0424 20:53:22.762007 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/se/conv2d/kernel/Momentum (efficientnet-b6/blocks_44/se/conv2d/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.762044 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/se/conv2d/bias/Momentum (efficientnet-b6/blocks_44/se/conv2d/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.762082 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/se/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_44/se/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.762120 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/se/conv2d_1/bias/Momentum (efficientnet-b6/blocks_44/se/conv2d_1/bias/Momentum) -- not in ckpt\n",
"I0424 20:53:22.762158 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/conv2d_1/kernel/Momentum (efficientnet-b6/blocks_44/conv2d_1/kernel/Momentum) -- not in ckpt\n",
"I0424 20:53:22.762196 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/tpu_batch_normalization_2/gamma/Momentum (efficientnet-b6/blocks_44/tpu_batch_normalization_2/gamma/Momentum) -- not in ckpt\n",
"I0424 20:53:22.762233 140225883285312 utils.py:107] skip efficientnet-b6/blocks_44/tpu_batch_normalization_2/beta/Momentum (efficientnet-b6/blocks_44/tpu_batch_normalization_2/beta/Momentum) -- not in ckpt\n",
"INFO:tensorflow:Done calling model_fn.\n",
"I0424 20:53:23.905169 140225883285312 estimator.py:1171] Done calling model_fn.\n",
"INFO:tensorflow:Create CheckpointSaverHook.\n",
"I0424 20:53:23.905783 140225883285312 basic_session_run_hooks.py:546] Create CheckpointSaverHook.\n",
"WARNING:tensorflow:Issue encountered when serializing edsummaries.\n",
"Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.\n",
"'tuple' object has no attribute 'name'\n",
"W0424 20:53:26.241395 140225883285312 meta_graph.py:437] Issue encountered when serializing edsummaries.\n",
"Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.\n",
"'tuple' object has no attribute 'name'\n",
"INFO:tensorflow:Graph was finalized.\n",
"I0424 20:53:29.054953 140225883285312 monitored_session.py:246] Graph was finalized.\n",
"2020-04-24 20:53:29.055189: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n",
"2020-04-24 20:53:29.079555: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3999980000 Hz\n",
"2020-04-24 20:53:29.079865: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f8790000b20 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
"2020-04-24 20:53:29.079877: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version\n",
"2020-04-24 20:53:29.181965: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2020-04-24 20:53:29.182295: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x4ce13f0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
"2020-04-24 20:53:29.182308: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): GeForce RTX 2080 Ti, Compute Capability 7.5\n",
"2020-04-24 20:53:29.182402: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2020-04-24 20:53:29.182643: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: \n",
"pciBusID: 0000:01:00.0 name: GeForce RTX 2080 Ti computeCapability: 7.5\n",
"coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s\n",
"2020-04-24 20:53:29.182668: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
"2020-04-24 20:53:29.182676: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
"2020-04-24 20:53:29.182684: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
"2020-04-24 20:53:29.182692: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
"2020-04-24 20:53:29.182699: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
"2020-04-24 20:53:29.182705: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
"2020-04-24 20:53:29.182713: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
"2020-04-24 20:53:29.182741: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2020-04-24 20:53:29.182989: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2020-04-24 20:53:29.183222: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0\n",
"2020-04-24 20:53:29.183700: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
"2020-04-24 20:53:29.184899: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
"2020-04-24 20:53:29.184908: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 \n",
"2020-04-24 20:53:29.184912: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N \n",
"2020-04-24 20:53:29.185416: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2020-04-24 20:53:29.185671: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2020-04-24 20:53:29.185919: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10177 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5)\n",
"INFO:tensorflow:Running local_init_op.\n",
"I0424 20:53:37.223659 140225883285312 session_manager.py:505] Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"I0424 20:53:37.608018 140225883285312 session_manager.py:508] Done running local_init_op.\n",
"WARNING:tensorflow:Issue encountered when serializing edsummaries.\n",
"Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.\n",
"'tuple' object has no attribute 'name'\n",
"W0424 20:53:50.713617 140225883285312 meta_graph.py:437] Issue encountered when serializing edsummaries.\n",
"Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.\n",
"'tuple' object has no attribute 'name'\n",
"INFO:tensorflow:Calling checkpoint listeners before saving checkpoint 0...\n",
"I0424 20:53:52.921574 140225883285312 basic_session_run_hooks.py:614] Calling checkpoint listeners before saving checkpoint 0...\n",
"INFO:tensorflow:Saving checkpoints for 0 into /tmp/model_dir/efficientdet-d6-scratch/model.ckpt.\n",
"I0424 20:53:52.922117 140225883285312 basic_session_run_hooks.py:618] Saving checkpoints for 0 into /tmp/model_dir/efficientdet-d6-scratch/model.ckpt.\n",
"WARNING:tensorflow:Issue encountered when serializing edsummaries.\n",
"Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.\n",
"'tuple' object has no attribute 'name'\n",
"W0424 20:53:58.117343 140225883285312 meta_graph.py:437] Issue encountered when serializing edsummaries.\n",
"Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.\n",
"'tuple' object has no attribute 'name'\n",
"INFO:tensorflow:Calling checkpoint listeners after saving checkpoint 0...\n",
"I0424 20:53:58.810133 140225883285312 basic_session_run_hooks.py:626] Calling checkpoint listeners after saving checkpoint 0...\n",
"INFO:tensorflow:training_loop marked as finished\n",
"I0424 20:54:39.983971 140225883285312 error_handling.py:115] training_loop marked as finished\n",
"WARNING:tensorflow:Reraising captured error\n",
"W0424 20:54:39.984106 140225883285312 error_handling.py:149] Reraising captured error\n",
"Traceback (most recent call last):\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py\", line 1365, in _do_call\n",
" return fn(*args)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py\", line 1350, in _run_fn\n",
" target_list, run_metadata)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py\", line 1443, in _call_tf_sessionrun\n",
" run_metadata)\n",
"tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.\n",
" (0) Invalid argument: StringToNumberOp could not correctly convert string: capture_5ea34d4023b6ab0006acdf23.jpg\n",
"\t [[{{node parser/StringToNumber}}]]\n",
"\t [[IteratorGetNext]]\n",
" (1) Invalid argument: StringToNumberOp could not correctly convert string: capture_5ea34d4023b6ab0006acdf23.jpg\n",
"\t [[{{node parser/StringToNumber}}]]\n",
"\t [[IteratorGetNext]]\n",
"\t [[IteratorGetNext/_17475]]\n",
"0 successful operations.\n",
"0 derived errors ignored.\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"main.py\", line 395, in <module>\n",
" tf.app.run(main)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/app.py\", line 40, in run\n",
" _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)\n",
" File \"/usr/local/lib/python3.6/dist-packages/absl/app.py\", line 299, in run\n",
" _run_main(main, args)\n",
" File \"/usr/local/lib/python3.6/dist-packages/absl/app.py\", line 250, in _run_main\n",
" sys.exit(main(argv))\n",
" File \"main.py\", line 363, in main\n",
" steps=int(FLAGS.num_examples_per_epoch / FLAGS.train_batch_size))\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/tpu/tpu_estimator.py\", line 3083, in train\n",
" rendezvous.raise_errors()\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/tpu/error_handling.py\", line 150, in raise_errors\n",
" six.reraise(typ, value, traceback)\n",
" File \"/usr/local/lib/python3.6/dist-packages/six.py\", line 703, in reraise\n",
" raise value\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/tpu/tpu_estimator.py\", line 3078, in train\n",
" saving_listeners=saving_listeners)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py\", line 349, in train\n",
" loss = self._train_model(input_fn, hooks, saving_listeners)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py\", line 1182, in _train_model\n",
" return self._train_model_default(input_fn, hooks, saving_listeners)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py\", line 1215, in _train_model_default\n",
" saving_listeners)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py\", line 1518, in _train_with_estimator_spec\n",
" _, loss = mon_sess.run([estimator_spec.train_op, estimator_spec.loss])\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/monitored_session.py\", line 778, in run\n",
" run_metadata=run_metadata)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/monitored_session.py\", line 1283, in run\n",
" run_metadata=run_metadata)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/monitored_session.py\", line 1384, in run\n",
" raise six.reraise(*original_exc_info)\n",
" File \"/usr/local/lib/python3.6/dist-packages/six.py\", line 703, in reraise\n",
" raise value\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/monitored_session.py\", line 1369, in run\n",
" return self._sess.run(*args, **kwargs)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/monitored_session.py\", line 1442, in run\n",
" run_metadata=run_metadata)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/monitored_session.py\", line 1200, in run\n",
" return self._sess.run(*args, **kwargs)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py\", line 958, in run\n",
" run_metadata_ptr)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py\", line 1181, in _run\n",
" feed_dict_tensor, options, run_metadata)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py\", line 1359, in _do_run\n",
" run_metadata)\n",
" File \"/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py\", line 1384, in _do_call\n",
" raise type(e)(node_def, op, message)\n",
"tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.\n",
" (0) Invalid argument: StringToNumberOp could not correctly convert string: capture_5ea34d4023b6ab0006acdf23.jpg\n",
"\t [[{{node parser/StringToNumber}}]]\n",
"\t [[IteratorGetNext]]\n",
" (1) Invalid argument: StringToNumberOp could not correctly convert string: capture_5ea34d4023b6ab0006acdf23.jpg\n",
"\t [[{{node parser/StringToNumber}}]]\n",
"\t [[IteratorGetNext]]\n",
"\t [[IteratorGetNext/_17475]]\n",
"0 successful operations.\n",
"0 derived errors ignored.\n"
]
}
],
"source": [
"# Train efficientdet from scratch with backbone checkpoint.\n",
"backbone_name = {\n",
" 'efficientdet-d0': 'efficientnet-b0',\n",
" 'efficientdet-d1': 'efficientnet-b1',\n",
" 'efficientdet-d2': 'efficientnet-b2',\n",
" 'efficientdet-d3': 'efficientnet-b3',\n",
" 'efficientdet-d4': 'efficientnet-b4',\n",
" 'efficientdet-d5': 'efficientnet-b5',\n",
" 'efficientdet-d6': 'efficientnet-b6',\n",
" 'efficientdet-d7': 'efficientnet-b6',\n",
"}[MODEL]\n",
"\n",
"\n",
"# generating train tfrecord is large, so we skip the execution here.\n",
"import os\n",
"if backbone_name not in os.listdir():\n",
" !wget https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/{backbone_name}.tar.gz\n",
" !tar xf {backbone_name}.tar.gz\n",
"\n",
"images_per_epoch = 57 * len(tf.io.gfile.glob('train.record'))\n",
"images_per_epoch = images_per_epoch // 8 * 8 # round to 64.\n",
"\n",
"!mkdir /tmp/model_dir\n",
"# key option: use --backbone_ckpt rather than --ckpt.\n",
"# Don't use ema since we only train a few steps.\n",
"!python main.py --mode=train_and_eval \\\n",
" --training_file_pattern=train.record \\\n",
" --validation_file_pattern=test.record \\\n",
" --model_name={MODEL} \\\n",
" --model_dir=/tmp/model_dir/{MODEL}-scratch \\\n",
" --backbone_ckpt={backbone_name} \\\n",
" --train_batch_size=8 \\\n",
" --eval_batch_size=8 --eval_samples={images_per_epoch} \\\n",
" --num_examples_per_epoch={images_per_epoch} --num_epochs=1 \\\n",
" --hparams=\"use_bfloat16=false,num_classes=20,moving_average_decay=0\" \\\n",
" --use_tpu=False "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.9"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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