- Sort Score
- Result 10 results
- Languages All
Results 1 - 2 of 2 for _create_data_generator (0.59 sec)
-
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
): model = self._create_simple_gather_and_conv_model( input_type, filter_shape=(2, 3, 3, 1024) ) saved_model_save.save(model, self._input_saved_model_path) data_gen = self._create_data_generator( input_key='input_tensor', shape=[500], minval=0, maxval=64, dtype=input_type, ) tags = {tag_constants.SERVING}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
outputs=outputs, init_op=lookup_ops.tables_initializer(), assets_collection=ops.get_collection(ops.GraphKeys.ASSET_FILEPATHS), ) return inputs, outputs def _create_data_generator( self, input_key: str, shape: Sequence[int], minval: float = -1.0, maxval: float = 1.0, dtype: dtypes.DType = dtypes.float32, num_examples: int = 8,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 08:51:46 UTC 2024 - 51.2K bytes - Viewed (0)