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4 |1 |pool_size0
5 |1 |pool_size1
1 |3 |pool_size2
2 |2 |pool_size3
3 |None |pool_size4
2 |3 |stride_size0
4 |5 |stride_size1
3 |1 |stride_size2
5 |5 |stride_size3
2 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |0.2 |dropout1
0.2 |0 |dropout2
0.2 |0.1 |dropout3
0.2 |None |dropout4
[2K
2023-11-24 11:28:41.408104: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at conv_ops_impl.h:359 : INVALID_ARGUMENT: input depth must be evenly divisible by filter depth: 32 vs 128
[2K
Trial 20 Complete [00h 00m 07s]
val_loss: 16.71186065673828
Best val_loss So Far: 15.020581245422363
Total elapsed time: 00h 01m 35s
{'n_layers': 4, 'filter_unit0': 32, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 2, 'kernel_size1': 4, 'kernel_size2': 2, 'kernel_size3': 5, 'pool_size0': 1, 'pool_size1': 1, 'pool_size2': 3, 'pool_size3': 2, 'stride_size0': 3, 'stride_size1': 5, 'stride_size2': 1, 'stride_size3': 5, 'dropout0': 0.30000000000000004, 'dropout1': 0.2, 'dropout2': 0.0, 'dropout3': 0.1}
Traceback (most recent call last):
File "regress_rr.py", line 1150, in <module>
sens_rr_model(subject,
File "regress_rr.py", line 1047, in sens_rr_model
preds = model.predict(x_test)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/tensorflow/python/eager/execute.py", line 53, in quick_execute
tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.InvalidArgumentError: Graph execution error:
Detected at node 'cnn1d/conv1d_2/Conv1D' defined at (most recent call last):
File "regress_rr.py", line 1150, in <module>
sens_rr_model(subject,
File "regress_rr.py", line 1047, in sens_rr_model
preds = model.predict(x_test)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/training.py", line 2554, in predict
tmp_batch_outputs = self.predict_function(iterator)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/training.py", line 2341, in predict_function
return step_function(self, iterator)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/training.py", line 2327, in step_function
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/training.py", line 2315, in run_step
outputs = model.predict_step(data)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/training.py", line 2283, in predict_step
return self(x, training=False)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/training.py", line 569, in __call__
return super().__call__(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/base_layer.py", line 1150, in __call__
outputs = call_fn(inputs, *args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 96, in error_handler
return fn(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/sequential.py", line 405, in call
return super().call(inputs, training=training, mask=mask)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/functional.py", line 512, in call
return self._run_internal_graph(inputs, training=training, mask=mask)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/functional.py", line 669, in _run_internal_graph
outputs = node.layer(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/base_layer.py", line 1150, in __call__
outputs = call_fn(inputs, *args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 96, in error_handler
return fn(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/layers/convolutional/base_conv.py", line 290, in call
outputs = self.convolution_op(inputs, self.kernel)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/layers/convolutional/base_conv.py", line 262, in convolution_op
return tf.nn.convolution(
Node: 'cnn1d/conv1d_2/Conv1D'
input depth must be evenly divisible by filter depth: 32 vs 128
[[{{node cnn1d/conv1d_2/Conv1D}}]] [Op:__inference_predict_function_630008]
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).layer_with_weights-4.kernel
Value in checkpoint could not be found in the restored object: (root).layer_with_weights-4.kernel
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).layer_with_weights-4.bias
Value in checkpoint could not be found in the restored object: (root).layer_with_weights-4.bias
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20