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This error only happens on the data generator in the bootstrap_generator file. Bootstrap version trains but it cant take a dataset larger than 25 files due to memory error making it practically useless. Gist here: https://colab.research.google.com/gist/amahendrakar/39db0b14bce096a12d6f4c9961f687de/42038.ipynb Error I get
ValueError Traceback (most recent call last) <ipython-input-4-6927891f43ca> in <module>() 1 # test the data generator 2 generator = data_generator(texts, train_features, 1, max_sequence) ----> 3 loaded_model.fit_generator(generator, steps_per_epoch=steps, epochs=5, callbacks=callbacks_list, verbose=1) 4 loaded_model.save(mydrive + '/output/weights.hdf5') 12 frames /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/func_graph.py in wrapper(*args, **kwargs) 971 except Exception as e: # pylint:disable=broad-except 972 if hasattr(e, "ag_error_metadata"): --> 973 raise e.ag_error_metadata.to_exception(e) 974 else: 975 raise ValueError: in user code: /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:806 train_function * return step_function(self, iterator) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:796 step_function ** outputs = model.distribute_strategy.run(run_step, args=(data,)) /usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:1211 run return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs) /usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:2585 call_for_each_replica return self._call_for_each_replica(fn, args, kwargs) /usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:2945 _call_for_each_replica return fn(*args, **kwargs) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:789 run_step ** outputs = model.train_step(data) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:757 train_step self.trainable_variables) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:2737 _minimize trainable_variables)) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/optimizer_v2/optimizer_v2.py:562 _aggregate_gradients filtered_grads_and_vars = _filter_grads(grads_and_vars) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/optimizer_v2/optimizer_v2.py:1271 _filter_grads ([v.name for _, v in grads_and_vars],)) ValueError: No gradients provided for any variable: ['embedding_1/embeddings:0', 'lstm_1/lstm_cell/kernel:0', 'lstm_1/lstm_cell/recurrent_kernel:0', 'lstm_1/lstm_cell/bias:0', 'conv2d_1/kernel:0', 'conv2d_1/bias:0', 'conv2d_2/kernel:0', 'conv2d_2/bias:0', 'conv2d_3/kernel:0', 'conv2d_3/bias:0', 'conv2d_4/kernel:0', 'conv2d_4/bias:0', 'conv2d_5/kernel:0', 'conv2d_5/bias:0', 'conv2d_6/kernel:0', 'conv2d_6/bias:0', 'conv2d_7/kernel:0', 'conv2d_7/bias:0', 'dense_1/kernel:0', 'dense_1/bias:0', 'dense_2/kernel:0', 'dense_2/bias:0', 'lstm_2/lstm_cell_1/kernel:0', 'lstm_2/lstm_cell_1/recurrent_kernel:0', 'lstm_2/lstm_cell_1/bias:0', 'lstm_3/lstm_cell_2/kernel:0', 'lstm_3/lstm_cell_2/recurrent_kernel:0', 'lstm_3/lstm_cell_2/bias:0', 'lstm_4/lstm_cell_3/kernel:0', 'lstm_4/lstm_cell_3/recurrent_kernel:0', 'lstm_4/lstm_cell_3/bias:0', 'dense_3/kernel:0', 'dense_3/bias:0'].
The text was updated successfully, but these errors were encountered:
Have fixed on tensorflow/tensorflow#42038
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This error only happens on the data generator in the bootstrap_generator file. Bootstrap version trains but it cant take a dataset larger than 25 files due to memory error making it practically useless. Gist here: https://colab.research.google.com/gist/amahendrakar/39db0b14bce096a12d6f4c9961f687de/42038.ipynb
Error I get
The text was updated successfully, but these errors were encountered: