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--When I run: python3 train_mdn.py
--There is error arised form “data_utils.py”:
else: ds_maxes = ds.map(lambda x: tf.reduce_max(x), num_parallel_calls=AUTOTUNE) ds_mins = ds.map(lambda x: tf.reduce_min(x), num_parallel_calls=AUTOTUNE) ds_min = ds_mins.reduce(tf.float32.max, lambda x, y: tf.math.minimum(x, y)) <--The error from this line ds_max = ds_maxes.reduce(tf.float32.min, lambda x, y: tf.math.maximum(x, y)) ds_min, ds_max = ds_mins.numpy(), ds_maxes.numpy()
--The terminal shows:
_File "/home/py/anaconda3/envs/torch/lib/python3.9/site-packages/tensorflow/python/framework/ops.py", line 7215, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__ReduceDataset_Targuments_0_Tstate_1_output_types_1_device_/job:localhost/replica:0/task:0/device:CPU:0}} Key: inputs. Can't parse serialized Example. [[{{node ParseExample/ParseExampleV2}}]] [Op:ReduceDataset]_
--Why there is a "Can't parse serialized Example." bug? Thanks very much for solving my question.
The text was updated successfully, but these errors were encountered:
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--When I run:
python3 train_mdn.py
--There is error arised form “data_utils.py”:
--The terminal shows:
--Why there is a "Can't parse serialized Example." bug? Thanks very much for solving my question.
The text was updated successfully, but these errors were encountered: