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Results 1 - 2 of 2 for create_feed_dict_from_input_data (0.56 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset.py
# Handle this as if the size is unknown. logging.info('Cannot determine the size of the dataset (%s).', ex) return None else: return None def create_feed_dict_from_input_data( input_data: RepresentativeSample, signature_def: meta_graph_pb2.SignatureDef, ) -> Mapping[str, np.ndarray]: """Constructs a feed_dict from input data.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 22:55:22 UTC 2024 - 14.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/py_function_lib.py
): # Create a mapping from input tensor name to the input tensor value. # ex) "Placeholder:0" -> [0, 1, 2] feed_dict = rd.create_feed_dict_from_input_data(sample, signature_def) sess.run(output_tensor_names, feed_dict=feed_dict) def _run_graph_for_calibration_graph_mode( model_dir: str, tags: Collection[str],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 05:32:11 UTC 2024 - 27.4K bytes - Viewed (0)