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Searched refs:input_slices (Results 1 – 5 of 5) sorted by relevance

/external/tensorflow/tensorflow/python/ops/
Dwhile_v2_indexed_slices_rewriter.py145 input_slices = ops.IndexedSlices(
158 input_slices)
163 body_grad_graph, loop_vars, init_slices, input_slices, new_output_slices,
248 def _update_indexed_slices_param(graph, loop_vars, init_slices, input_slices, argument
284 graph.inputs = (graph.inputs[:flat_idx] + _flatten(input_slices) +
/external/tensorflow/tensorflow/python/distribute/
Dcross_device_utils.py505 input_slices, argument
540 input_slices.values, communication_hint, timeout=timeout)
545 input_slices.indices, communication_hint, timeout=timeout)
549 dense_shape=input_slices.dense_shape)
553 densified = ops.convert_to_tensor(input_slices)
562 dense_shape=input_slices.dense_shape)
564 length = array_ops.shape(input_slices.indices)
/external/perfetto/src/protozero/filtering/
Dmessage_filter_unittest.cc772 std::vector<MessageFilter::InputSlice> input_slices; in TEST() local
777 input_slices.emplace_back( in TEST()
783 filt.FilterMessageFragments(input_slices.data(), input_slices.size()); in TEST()
/external/tensorflow/tensorflow/python/keras/layers/
Dconvolutional_test.py468 input_slices = array_ops.split(inputs, 4, axis=-1)
472 for inputs, weights in zip(input_slices, weight_slices)
/external/tensorflow/tensorflow/python/keras/distribute/
Ddistribute_strategy_test.py213 input_slices = (inputs, targets)
216 input_slices = inputs
219 original_dataset = (dataset_ops.Dataset.from_tensor_slices(input_slices))