Training dpg

[nhathoang0110]

It is my error. I am training on gpu.Please help me

2020-07-30 08:58:38.623964: E tensorflow/core/common_runtime/executor.cc:642] Executor failed to create kernel. Invalid argument: Default MaxPoolingOp only supports NHWC on device type CPU [[{{node hourglass/hg_1/depth1/pool/MaxPool}}]] 2020-07-30 08:58:39.018768: W tensorflow/core/kernels/queue_base.cc:285] _0_HDFdatasetsMPIIGazeh5/random_shuffle_queue: Skipping cancelled dequeue attempt with queue not closed Traceback (most recent call last): File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call return fn(*args) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn target_list, run_metadata) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InvalidArgumentError: Default MaxPoolingOp only supports NHWC on device type CPU [[{{node hourglass/hg_1/depth1/pool/MaxPool}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "dpg_train.py", line 96, in num_epochs=20, File "/home/hoangnn/pose/GazeML/src/core/model.py", line 327, in train self.use_batch_statistics: True, File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 956, in run run_metadata_ptr) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1180, in _run feed_dict_tensor, options, run_metadata) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run run_metadata) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1384, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: Default MaxPoolingOp only supports NHWC on device type CPU [[node hourglass/hg_1/depth1/pool/MaxPool (defined at /home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:1748) ]]

Original stack trace for 'hourglass/hg_1/depth1/pool/MaxPool': File "dpg_train.py", line 89, in testing=True, File "/home/hoangnn/pose/GazeML/src/models/dpg.py", line 26, in init super().init(tensorflow_session, kwargs) File "/home/hoangnn/pose/GazeML/src/core/model.py", line 101, in init self._build_all_models() File "/home/hoangnn/pose/GazeML/src/core/model.py", line 184, in _build_all_models _build_train_or_test(mode='train') File "/home/hoangnn/pose/GazeML/src/core/model.py", line 167, in _build_train_or_test output_tensors, loss_terms, metrics = self.build_model(data_sources, mode=mode) File "/home/hoangnn/pose/GazeML/src/models/dpg.py", line 128, in build_model x = self._build_hourglass(x, steps_to_go=4, num_features=self._hg_num_feature_maps) File "/home/hoangnn/pose/GazeML/src/models/dpg.py", line 259, in _build_hourglass low1 = self._apply_pool(x, kernel_size=2, stride=2) File "/home/hoangnn/pose/GazeML/src/models/dpg.py", line 215, in _apply_pool name='pool', File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 324, in new_func return func(*args, *kwargs) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/layers/pooling.py", line 311, in max_pooling2d return layer.apply(inputs) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 324, in new_func return func(args, kwargs) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py", line 1700, in apply return self.call(inputs, *args, kwargs) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/layers/base.py", line 548, in call outputs = super(Layer, self).call(inputs, *args, *kwargs) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py", line 854, in call outputs = call_fn(cast_inputs, args, kwargs) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/autograph/impl/api.py", line 234, in wrapper return converted_call(f, options, args, kwargs) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/autograph/impl/api.py", line 439, in converted_call return _call_unconverted(f, args, kwargs, options) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/autograph/impl/api.py", line 330, in _call_unconverted return f(*args, *kwargs) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/keras/layers/pooling.py", line 248, in call data_format=conv_utils.convert_data_format(self.data_format, 4)) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/ops/nn_ops.py", line 3815, in max_pool name=name) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/ops/gen_nn_ops.py", line 5674, in max_pool data_format=data_format, name=name) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper op_def=op_def) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func return func(args, **kwargs) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op attrs, op_def, compute_device) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal op_def=op_def) File "/home/hoangnn/.conda/envs/nh/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 1748, in init self._traceback = tf_stack.extract_stack()

terminate called without an active exception Aborted (core dumped)

[xgbm]

Change “NCHW”to “NHWC”