Bonjour,
A l' execution du nb de 02-AE-with-MNIST.ipynb
chrono = fidle.Chrono()
chrono.start()
history = ae.fit(noisy_train, clean_train,
batch_size = batch_size,
epochs = epochs,
verbose = fit_verbosity,
validation_data = (noisy_test, clean_test),
callbacks = callbacks_list )
chrono.show()
J'ai cette erreur:
Epoch 1/30
2023-02-02 15:35:33.671756: E tensorflow/stream_executor/cuda/cuda_dnn.cc:389] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
2023-02-02 15:35:33.671847: W tensorflow/core/framework/op_kernel.cc:1745] OP_REQUIRES failed at conv_ops.cc:1120 : UNIMPLEMENTED: DNN library is not found.
---------------------------------------------------------------------------
UnimplementedError Traceback (most recent call last)
Input In [9], in <cell line: 4>()
1 chrono = fidle.Chrono()
2 chrono.start()
----> 4 history = ae.fit(noisy_train, clean_train,
5 batch_size = batch_size,
6 epochs = epochs,
7 verbose = fit_verbosity,
8 validation_data = (noisy_test, clean_test),
9 callbacks = callbacks_list )
11 chrono.show()
File /opt/conda/lib/python3.8/site-packages/keras/utils/traceback_utils.py:67, in filter_traceback.<locals>.error_handler(*args, **kwargs)
65 except Exception as e: # pylint: disable=broad-except
66 filtered_tb = _process_traceback_frames(e.__traceback__)
---> 67 raise e.with_traceback(filtered_tb) from None
68 finally:
69 del filtered_tb
....
File "/opt/conda/lib/python3.8/site-packages/keras/engine/base_layer.py", line 1014, in __call__
outputs = call_fn(inputs, *args, **kwargs)
File "/opt/conda/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 92, in error_handler
return fn(*args, **kwargs)
File "/opt/conda/lib/python3.8/site-packages/keras/layers/convolutional/base_conv.py", line 250, in call
outputs = self.convolution_op(inputs, self.kernel)
File "/opt/conda/lib/python3.8/site-packages/keras/layers/convolutional/base_conv.py", line 225, in convolution_op
return tf.nn.convolution(
Node: 'ae/encoder/conv2d/Conv2D'
DNN library is not found.
[[{{node ae/encoder/conv2d/Conv2D}}]] [Op:__inference_train_function_1463]
Avez vous une idée ?
Je vous remercie
