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UP42 API: Second task logs.
2019-09-16 17:21:57,133 - helpers - DEBUG - Hallo Barry: {"n_clusters":6,"n_iterations":10,"n_sieve_pixels":64}
2019-09-16 17:21:57,133 - helpers - DEBUG - Fetching parameters for this blocks: {"n_clusters":6,"n_iterations":10,"n_sieve_pixels":64}
2019-09-16 17:21:58,554 - land_cover_classification - INFO - src.meta:
2019-09-16 17:21:58,554 - land_cover_classification - INFO - {'crs': CRS.from_dict(init='epsg:3857'), 'driver': 'GTiff', 'count': 12, 'transform': Affine(1.1943285669549368, 0.0, -988483.6497838981,
0.0, -1.1943285669549368, 4888300.832893591), 'dtype': 'uint16', 'width': 3072, 'nodata': None, 'height': 1793}
WARNING:tensorflow:Using temporary folder as model directory: /tmp/tmpaxt4qoh2
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From /block/src/land_cover_classification.py:52: limit_epochs (from tensorflow.python.training.input) is deprecated and will be removed in a future version.
Instructions for updating:
Queue-based input pipelines have been replaced by `tf.data`. Use `tf.data.Dataset.from_tensors(tensor).repeat(num_epochs)`.
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/input.py:113: RefVariable.count_up_to (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Prefer Dataset.range instead.
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/variables.py:2132: count_up_to (from tensorflow.python.ops.state_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Prefer Dataset.range instead.
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/metrics_impl.py:363: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
2019-09-16 17:22:13.744084: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
2019-09-16 17:22:13.753857: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2000170000 Hz
2019-09-16 17:22:13.756806: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0xc6b7d70 executing computations on platform Host. Devices:
2019-09-16 17:22:13.756918: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): <undefined>, <undefined>
WARNING:tensorflow:Training with estimator made no steps. Perhaps input is empty or misspecified.
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
Instructions for updating:
Use standard file APIs to check for files with this prefix.
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py:1070: get_checkpoint_mtimes (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
Instructions for updating:
Use standard file utilities to get mtimes.
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py:966: remove_checkpoint (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
Instructions for updating:
Use standard file APIs to delete files with this prefix.
WARNING:tensorflow:Input graph does not use tf.data.Dataset or contain a QueueRunner. That means predict yields forever. This is probably a mistake.
2019-09-16 17:40:40,018 - land_cover_classification - INFO - dst_meta:
2019-09-16 17:40:40,018 - land_cover_classification - INFO - {'dtype': 'uint8', 'crs': CRS.from_dict(init='epsg:3857'), 'driver': 'GTiff', 'count': 1, 'transform': Affine(1.1943285669549368, 0.0, -988483.6497838981,
0.0, -1.1943285669549368, 4888300.832893591), 'width': 3072, 'nodata': None, 'height': 1793}
WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:
* https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
* https://github.com/tensorflow/addons
If you depend on functionality not listed there, please file an issue.
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