TensorFlow Keras: The `validate_indices` argument has no effect. Indices are always validated on CPU and never validated on GPU

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indices
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Install the necessary libraries,The dataset is located in our Google Drive data folder,,Making predictions on new text:

Example_snippet/controller/utility/_indices.js/ #Install the necessary package. . .
#Install the necessary packages
   !pip install transformers!pip install datasets
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What is Nengo? Examples Documentation Getting started Privacy , This documentation is for a development version, Click here for the latest stable release (v3

Example_snippet/controller/utility/_indices.js/ [1]: . . .
[1]:
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The installation guides are updated to make it more consistent and simpler,,The following commands in the installation worked well

Example_snippet/controller/utility/_indices.js/ python training/train.py \ . . .
python training / train.py\
   --config_file = $ {
      CONFIG_FILE
   }\
   --mode = {
      train | eval | train_and_eval | continuous_eval
   }\
   --model_dir = $ {
      BASE_MODEL_DIRECTORY
   }\
   --num_gpus = $ {
      NUM_GPUS
   }
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65%

ValueError: in user code:,This is the demo from MaskRCNN and I keep getting the same error ValueError: None values not supported,, The text was updated successfully, but these errors were encountered: ,By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement

Example_snippet/controller/utility/_model.js/ C:\Users\Owner\Mask_RCNN\mrcnn. . .
C: \Users\ Owner\ Mask_RCNN\ mrcnn\ model.py: 812 call *
   detections_batch = utils.batch_slice(
      C: \Users\ Owner\ Mask_RCNN\ mrcnn\ utils.py: 820 batch_slice *
      output_slice = graph_fn( * inputs_slice) C: \Users\ Owner\ Mask_RCNN\ mrcnn\ model.py: 704 refine_detections_graph *
      indices = tf.stack([tf.range(probs.shape[0]), class_ids], axis = 1) c: \users\ owner\ anaconda3\ envs\ maskrcnn\ lib\ site - packages\ tensorflow\ python\ util\ dispatch.py: 206 wrapper **
      return target( * args, ** kwargs)
      c: \users\ owner\ anaconda3\ envs\ maskrcnn\ lib\ site - packages\ tensorflow\ python\ ops\ math_ops.py: 1908 range limit = ops.convert_to_tensor(limit, dtype = dtype, name = "limit") c: \users\ owner\ anaconda3\ envs\ maskrcnn\ lib\ site - packages\ tensorflow\ python\ profiler\ trace.py: 163 wrapped
      return func( * args, ** kwargs)
      c: \users\ owner\ anaconda3\ envs\ maskrcnn\ lib\ site - packages\ tensorflow\ python\ framework\ ops.py: 1566 convert_to_tensor ret = conversion_func(value, dtype = dtype, name = name, as_ref = as_ref) c: \users\ owner\ anaconda3\ envs\ maskrcnn\ lib\ site - packages\ tensorflow\ python\ framework\ constant_op.py: 339 _constant_tensor_conversion_function
      return constant(v, dtype = dtype, name = name)
      c: \users\ owner\ anaconda3\ envs\ maskrcnn\ lib\ site - packages\ tensorflow\ python\ framework\ constant_op.py: 265 constant allow_broadcast = True)
c: \users\ owner\ anaconda3\ envs\ maskrcnn\ lib\ site - packages\ tensorflow\ python\ framework\ constant_op.py: 283 _constant_impl
allow_broadcast = allow_broadcast))
c: \users\ owner\ anaconda3\ envs\ maskrcnn\ lib\ site - packages\ tensorflow\ python\ framework\ tensor_util.py: 445 make_tensor_proto
raise ValueError("None values not supported.")

ValueError: None values not supported.