Error Stacktrace

Stacktrace

Traceback (most recent call last):
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1021, in _do_call
    return fn(*args)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1003, in _run_fn
    status, run_metadata)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/contextlib.py", line 66, in __exit__
    next(self.gen)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py", line 469, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Conv2DCustomBackpropInput: input and out_backprop must have the same batch size
	 [[Node: conv2d_transpose = Conv2DBackpropInput[T=DT_FLOAT, data_format="NHWC", padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/cpu:0"](conv2d_transpose/output_shape, transpose, Reshape)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/mridul/thesis/mycode/DeepLearningImplementations/InfoGAN/src/model/main.py", line 91, in <module>
    launch_training(**d_params)
  File "/home/mridul/thesis/mycode/DeepLearningImplementations/InfoGAN/src/model/main.py", line 8, in launch_training
    train.train(**kwargs)
  File "/home/mridul/thesis/mycode/DeepLearningImplementations/InfoGAN/src/model/train.py", line 134, in train
    label_flipping=label_flipping)
  File "../utils/data_utils.py", line 90, in get_disc_batch
    X_disc = generator_model.predict([y_cat, y_cont, noise_input])
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/keras/engine/training.py", line 1272, in predict
    batch_size=batch_size, verbose=verbose)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/keras/engine/training.py", line 945, in _predict_loop
    batch_outs = f(ins_batch)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 1943, in __call__
    feed_dict=feed_dict)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 766, in run
    run_metadata_ptr)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 964, in _run
    feed_dict_string, options, run_metadata)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1014, in _do_run
    target_list, options, run_metadata)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1034, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Conv2DCustomBackpropInput: input and out_backprop must have the same batch size
	 [[Node: conv2d_transpose = Conv2DBackpropInput[T=DT_FLOAT, data_format="NHWC", padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/cpu:0"](conv2d_transpose/output_shape, transpose, Reshape)]]

Caused by op 'conv2d_transpose', defined at:
  File "/home/mridul/thesis/mycode/DeepLearningImplementations/InfoGAN/src/model/main.py", line 91, in <module>
    launch_training(**d_params)
  File "/home/mridul/thesis/mycode/DeepLearningImplementations/InfoGAN/src/model/main.py", line 8, in launch_training
    train.train(**kwargs)
  File "/home/mridul/thesis/mycode/DeepLearningImplementations/InfoGAN/src/model/train.py", line 82, in train
    use_mbd=use_mbd)
  File "/home/mridul/thesis/mycode/DeepLearningImplementations/InfoGAN/src/model/models.py", line 249, in load
    model = generator_deconv(cat_dim, cont_dim, noise_dim, img_dim, bn_mode, batch_size, model_name=model_name, dset=dset)
  File "/home/mridul/thesis/mycode/DeepLearningImplementations/InfoGAN/src/model/models.py", line 122, in generator_deconv
    x = Deconvolution2D(nb_filters, 3, 3, output_shape=o_shape, subsample=(2, 2), border_mode="same")(x)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/keras/engine/topology.py", line 572, in __call__
    self.add_inbound_node(inbound_layers, node_indices, tensor_indices)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/keras/engine/topology.py", line 635, in add_inbound_node
    Node.create_node(self, inbound_layers, node_indices, tensor_indices)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/keras/engine/topology.py", line 166, in create_node
    output_tensors = to_list(outbound_layer.call(input_tensors[0], mask=input_masks[0]))
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/keras/layers/convolutional.py", line 674, in call
    filter_shape=self.W_shape)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 2734, in deconv2d
    padding=padding)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/ops/nn_ops.py", line 1078, in conv2d_transpose
    name=name)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 489, in conv2d_backprop_input
    data_format=data_format, name=name)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 759, in apply_op
    op_def=op_def)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 2240, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1128, in __init__
    self._traceback = _extract_stack()

InvalidArgumentError (see above for traceback): Conv2DCustomBackpropInput: input and out_backprop must have the same batch size
	 [[Node: conv2d_transpose = Conv2DBackpropInput[T=DT_FLOAT, data_format="NHWC", padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/cpu:0"](conv2d_transpose/output_shape, transpose, Reshape)]]

Exception ignored in: <bound method BaseSession.__del__ of <tensorflow.python.client.session.Session object at 0x7fed726818d0>>
Traceback (most recent call last):
  File "/home/mridul/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 581, in __del__
AttributeError: 'NoneType' object has no attribute 'TF_DeleteStatus'