求解tensorflow2.2-gpu报错，InvalidArgumentError: indices[55,43] = 23575 is not in [0, 20002)
InvalidArgumentError Traceback (most recent call last)
<ipython-input-71-cefd363ae52d> in <module>
15 enc_padding_mask,
16 combined_mask,
---> 17 dec_padding_mask)
18 predictions = predictions[: ,-1:, :] # (batch_size, 1, vocab_size)
19 predictions=predictions[:,:,-2]
D:\ProgramData\Anaconda3\envs\tf22_g\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in __call__(self, *args, **kwargs)
966 with base_layer_utils.autocast_context_manager(
967 self._compute_dtype):
--> 968 outputs = self.call(cast_inputs, *args, **kwargs)
969 self._handle_activity_regularization(inputs, outputs)
970 self._set_mask_metadata(inputs, outputs, input_masks)
<ipython-input-60-5b87ebaf89d6> in call(self, encode_inputs, decode_inputs, training, enc_padding_mask, look_ahead_mask, dec_padding_mask)
19 # dec_output.shape == (batch_size, tar_seq_len, d_model)
20 dec_output, attention_weights = self.decoder(
---> 21 decode_inputs, enc_output, training, look_ahead_mask, dec_padding_mask)
22
23 final_output = self.final_layer(dec_output) # (batch_size, tar_seq_len, target_vocab_size)
D:\ProgramData\Anaconda3\envs\tf22_g\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in __call__(self, *args, **kwargs)
966 with base_layer_utils.autocast_context_manager(
967 self._compute_dtype):
--> 968 outputs = self.call(cast_inputs, *args, **kwargs)
969 self._handle_activity_regularization(inputs, outputs)
970 self._set_mask_metadata(inputs, outputs, input_masks)
<ipython-input-59-e15a67af28da> in call(self, x, enc_output, training, look_ahead_mask, padding_mask)
38 # elapsed_time_count=500
39 elapsed_time_embeddings = self.embedding3(prior_question_elapsed_times)
---> 40 lagtimes_embeddings = self.embedding4(lagtimes)
41 lagtime2s_embeddings = self.embedding5(lagtime2s)
42 #lagtime3s_embeddings = tf.keras.layers.Dense(d_model, use_bias=False)(lagtime3s)
D:\ProgramData\Anaconda3\envs\tf22_g\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in __call__(self, *args, **kwargs)
966 with base_layer_utils.autocast_context_manager(
967 self._compute_dtype):
--> 968 outputs = self.call(cast_inputs, *args, **kwargs)
969 self._handle_activity_regularization(inputs, outputs)
970 self._set_mask_metadata(inputs, outputs, input_masks)
D:\ProgramData\Anaconda3\envs\tf22_g\lib\site-packages\tensorflow\python\keras\layers\embeddings.py in call(self, inputs)
182 if dtype != 'int32' and dtype != 'int64':
183 inputs = math_ops.cast(inputs, 'int32')
--> 184 out = embedding_ops.embedding_lookup(self.embeddings, inputs)
185 return out
186
D:\ProgramData\Anaconda3\envs\tf22_g\lib\site-packages\tensorflow\python\ops\embedding_ops.py in embedding_lookup(params, ids, partition_strategy, name, validate_indices, max_norm)
324 name=name,
325 max_norm=max_norm,
--> 326 transform_fn=None)
327
328
D:\ProgramData\Anaconda3\envs\tf22_g\lib\site-packages\tensorflow\python\ops\embedding_ops.py in _embedding_lookup_and_transform(params, ids, partition_strategy, name, max_norm, transform_fn)
135 with ops.colocate_with(params[0]):
136 result = _clip(
--> 137 array_ops.gather(params[0], ids, name=name), ids, max_norm)
138 if transform_fn:
139 result = transform_fn(result)
D:\ProgramData\Anaconda3\envs\tf22_g\lib\site-packages\tensorflow\python\util\dispatch.py in wrapper(*args, **kwargs)
178 """Call target, and fall back on dispatchers if there is a TypeError."""
179 try:
--> 180 return target(*args, **kwargs)
181 except (TypeError, ValueError):
182 # Note: convert_to_eager_tensor currently raises a ValueError, not a
D:\ProgramData\Anaconda3\envs\tf22_g\lib\site-packages\tensorflow\python\ops\array_ops.py in gather(***failed resolving arguments***)
4520 # TODO(apassos) find a less bad way of detecting resource variables
4521 # without introducing a circular dependency.
-> 4522 return params.sparse_read(indices, name=name)
4523 except AttributeError:
4524 return gen_array_ops.gather_v2(params, indices, axis, name=name)
D:\ProgramData\Anaconda3\envs\tf22_g\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py in sparse_read(self, indices, name)
674 variable_accessed(self)
675 value = gen_resource_variable_ops.resource_gather(
--> 676 self._handle, indices, dtype=self._dtype, name=name)
677
678 if self._dtype == dtypes.variant:
D:\ProgramData\Anaconda3\envs\tf22_g\lib\site-packages\tensorflow\python\ops\gen_resource_variable_ops.py in resource_gather(resource, indices, dtype, batch_dims, validate_indices, name)
554 pass # Add nodes to the TensorFlow graph.
555 except _core._NotOkStatusException as e:
--> 556 _ops.raise_from_not_ok_status(e, name)
557 # Add nodes to the TensorFlow graph.
558 dtype = _execute.make_type(dtype, "dtype")
D:\ProgramData\Anaconda3\envs\tf22_g\lib\site-packages\tensorflow\python\framework\ops.py in raise_from_not_ok_status(e, name)
6651 message = e.message + (" name: " + name if name is not None else "")
6652 # pylint: disable=protected-access
-> 6653 six.raise_from(core._status_to_exception(e.code, message), None)
6654 # pylint: enable=protected-access
6655
D:\ProgramData\Anaconda3\envs\tf22_g\lib\site-packages\six.py in raise_from(value, from_value)
InvalidArgumentError: indices[55,43] = 23575 is not in [0, 20002) [Op:ResourceGather]
求助各路大神指教！
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