Introducing the Keras Sequential API on Vertex AI Platform Reviews
13674 reviews
Bimal D. · Reviewed 11 months ago
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David T. · Reviewed 11 months ago
didn't work peratorNotAllowedInGraphError Traceback (most recent call last) Cell In[29], line 19 16 steps_per_epoch = NUM_TRAIN_EXAMPLES // (TRAIN_BATCH_SIZE * NUM_EVALS) 18 LOGDIR = "./taxi_trained" ---> 19 history = model.fit( 20 x=trainds, 21 steps_per_epoch=steps_per_epoch, 22 epochs=NUM_EVALS, 23 validation_data=evalds, 24 callbacks=[TensorBoard(LOGDIR)], 25 ) File /opt/conda/lib/python3.10/site-packages/keras/utils/traceback_utils.py:70, in filter_traceback.<locals>.error_handler(*args, **kwargs) 67 filtered_tb = _process_traceback_frames(e.__traceback__) 68 # To get the full stack trace, call: 69 # `tf.debugging.disable_traceback_filtering()` ---> 70 raise e.with_traceback(filtered_tb) from None 71 finally: 72 del filtered_tb File /opt/conda/lib/python3.10/site-packages/tensorflow/python/framework/func_graph.py:1269, in func_graph_from_py_func.<locals>.autograph_handler(*args, **kwargs) 1267 except Exception as e: # pylint:disable=broad-except 1268 if hasattr(e, "ag_error_metadata"): -> 1269 raise e.ag_error_metadata.to_exception(e) 1270 else: 1271 raise OperatorNotAllowedInGraphError: in user code: File "/opt/conda/lib/python3.10/site-packages/keras/engine/training.py", line 1249, in train_function * return step_function(self, iterator) File "/var/tmp/ipykernel_3079/3365225547.py", line 4, in rmse * return tf.sqrt(tf.reduce_mean(tf.square(y_pred, y_true)))# TODO -- Your code here. OperatorNotAllowedInGraphError: Using a symbolic `tf.Tensor` as a Python `bool` is not allowed: AutoGraph did convert this function. This might indicate you are trying to use an unsupported feature.
Ishan S. · Reviewed 11 months ago
the lab doesn't work, I'm not able to create a user-managed notebooks
Matteo Z. · Reviewed 11 months ago
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Louis L. · Reviewed 11 months ago
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