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  /external/tensorflow/tensorflow/contrib/boosted_trees/lib/utils/
tensor_utils.cc 26 const OpInputList& input_list) {
28 tensor_vec.reserve(input_list.size());
29 for (const Tensor& tensor : input_list) {
42 context->input_list(kDenseFloatFeaturesName, features_list));
57 TF_RETURN_IF_ERROR(context->input_list(kSparseFloatFeatureIndicesName,
60 context->input_list(kSparseFloatFeatureValuesName, feature_values_list));
62 context->input_list(kSparseFloatFeatureShapesName, feature_shapes_list));
77 context->input_list(kSparseIntFeatureIndicesName, features_indices_list));
79 context->input_list(kSparseIntFeatureValuesName, feature_values_list));
81 context->input_list(kSparseIntFeatureShapesName, feature_shapes_list))
    [all...]
tensor_utils.h 31 const OpInputList& input_list);
  /external/tensorflow/tensorflow/core/kernels/
string_join_op.cc 38 OpInputList input_list; variable
39 OP_REQUIRES_OK(context, context->input_list("inputs", &input_list));
44 for (const auto& input : input_list) {
65 std::vector<StringPiece> strings(input_list.size());
67 for (int j = 0; j < input_list.size(); ++j) {
identity_n_op.h 30 OP_REQUIRES_OK(context, context->input_list("input", &input));
list_kernels.cc 196 const TensorList& input_list,
210 // the `input_list` to it.
213 output_tensor->scalar<Variant>()() = input_list;
420 const TensorList* input_list = nullptr; variable
421 OP_REQUIRES_OK(c, GetInputList(c, 0, &input_list));
439 output_list.element_shape = input_list->element_shape;
440 output_list.element_dtype = input_list->element_dtype;
441 output_list.max_num_elements = input_list->max_num_elements;
442 if (size > input_list->tensors.size()) {
444 input_list->tensors.begin()
    [all...]
sparse_concat_op.cc 43 OP_REQUIRES_OK(context, context->input_list("indices", &inds));
53 OP_REQUIRES_OK(context, context->input_list("values", &vals));
65 OP_REQUIRES_OK(context, context->input_list("shapes", &shapes));
sdca_internal.cc 98 context->input_list("sparse_indices", &sparse_indices_inputs));
101 context->input_list("sparse_weights", &sparse_weights_inputs));
104 context->input_list("dense_weights", &dense_weights_inputs));
328 TF_RETURN_IF_ERROR(context->input_list("sparse_example_indices",
331 TF_RETURN_IF_ERROR(context->input_list("sparse_feature_indices",
335 TF_RETURN_IF_ERROR(context->input_list("sparse_feature_values",
357 context->input_list("dense_features", &dense_features_inputs));
quantized_concat_op.cc 170 OP_REQUIRES_OK(context, context->input_list("values", &values));
173 OP_REQUIRES_OK(context, context->input_list("input_mins", &input_mins));
179 OP_REQUIRES_OK(context, context->input_list("input_maxes", &input_maxes));
partitioned_function_ops.cc 118 OP_REQUIRES_OK_ASYNC(ctx, ctx->input_list("args", &args), done);
184 TF_RETURN_IF_ERROR(ctx->input_list("args", &args));
example_parsing_ops.cc 53 OP_REQUIRES_OK(ctx, ctx->input_list("dense_keys", &dense_keys));
54 OP_REQUIRES_OK(ctx, ctx->input_list("sparse_keys", &sparse_keys));
55 OP_REQUIRES_OK(ctx, ctx->input_list("dense_defaults", &dense_defaults));
183 OP_REQUIRES_OK(ctx, ctx->input_list("dense_defaults", &dense_defaults));
280 OP_REQUIRES_OK(ctx, ctx->input_list("context_dense_defaults",
448 ctx->input_list("context_dense_keys", &context_dense_keys));
449 OP_REQUIRES_OK(ctx, ctx->input_list("feature_list_dense_keys",
452 ctx, ctx->input_list("context_sparse_keys", &context_sparse_keys));
453 OP_REQUIRES_OK(ctx, ctx->input_list("feature_list_sparse_keys",
455 OP_REQUIRES_OK(ctx, ctx->input_list("context_dense_defaults"
    [all...]
  /external/freetype/src/tools/docmaker/
utils.py 39 # Sort `input_list', placing the elements of `order_list' in front.
41 def sort_order_list( input_list, order_list ):
43 for id in input_list:
  /external/tensorflow/tensorflow/core/kernels/data/
graph_rewrite_dataset.cc 37 std::vector<std::pair<string, Tensor>> input_list; local
39 params.input_list = &input_list;
72 graph_runner.Run(&graph, lib_, input_list, {output_node}, &outputs));
89 params.input_list = ctx->input_list();
tensor_dataset_op.cc 37 OP_REQUIRES_OK(ctx, ctx->input_list("components", &inputs));
82 DCHECK_NE(ctx->input_list(), nullptr);
83 ctx->input_list()->emplace_back(node->name(), t);
tensor_slice_dataset_op.cc 39 OP_REQUIRES_OK(ctx, ctx->input_list("components", &inputs));
107 DCHECK_NE(ctx->input_list(), nullptr);
108 ctx->input_list()->emplace_back(node->name(), t);
  /external/tensorflow/tensorflow/core/kernels/boosted_trees/
training_ops.cc 71 OP_REQUIRES_OK(context, context->input_list("node_ids", &node_ids_list));
72 OP_REQUIRES_OK(context, context->input_list("gains", &gains_list));
74 context->input_list("thresholds", &thresholds_list));
75 OP_REQUIRES_OK(context, context->input_list("left_node_contribs",
77 OP_REQUIRES_OK(context, context->input_list("right_node_contribs",
prediction_ops.cc 66 OP_REQUIRES_OK(context, context->input_list("bucketized_features",
205 OP_REQUIRES_OK(context, context->input_list("bucketized_features",
309 OP_REQUIRES_OK(context, context->input_list("bucketized_features",
quantile_ops.cc 149 context, context->input_list(kFloatFeaturesName, &float_features_list));
236 context->input_list(kSummariesName, &summaries_list));
293 OP_REQUIRES_OK(context, context->input_list(kBucketBoundariesName,
453 context, context->input_list(kFloatFeaturesName, &float_features_list));
455 OP_REQUIRES_OK(context, context->input_list(kBucketBoundariesName,
  /external/tensorflow/tensorflow/core/kernels/data/experimental/
choose_fastest_dataset_op.cc 39 OpInputList input_list; variable
40 OP_REQUIRES_OK(ctx, ctx->input_list("input_datasets", &input_list));
42 ctx, input_list.size() > 1,
47 inputs.reserve(input_list.size());
48 for (const auto& tensor : input_list) {
  /external/tensorflow/tensorflow/python/keras/engine/
base_layer_utils.py 521 def _get_var_read_dtype(input_list, should_cast):
523 if should_cast and input_list and input_list[0].dtype.is_floating:
524 return input_list[0].dtype.base_dtype
529 def autocast_context_manager(input_list, should_cast):
538 input_list: The inputs to the layer with the AutoCastVariables.
544 var_read_dtype = _get_var_read_dtype(input_list, should_cast)
  /external/tensorflow/tensorflow/compiler/tf2xla/kernels/
tensor_list_ops.cc 314 Status GetInitializedList(const xla::XlaOp& input_list,
319 IsTensorListInitialized(input_list, &is_already_initialized));
321 TF_RETURN_IF_ERROR(GetTensorListBufferShape(input_list, &input_list_shape));
327 TF_RETURN_IF_ERROR(GetTensorListBuffer(input_list, output_list_buffer));
337 InitializeTensorList(input_list, output_list_shape, &output_list));
  /external/tensorflow/tensorflow/python/ops/
list_ops.py 279 input_list, _ = op.inputs
280 input_list_size = gen_list_ops.tensor_list_length(input_list)
287 input_list, indices, _ = op.inputs
289 input_list, shape_type=dtypes.int32)
290 num_elements = gen_list_ops.tensor_list_length(input_list)
  /external/tensorflow/tensorflow/contrib/boosted_trees/kernels/
stats_accumulator_ops.cc 423 OP_REQUIRES_OK(context, context->input_list("stats_accumulator_handles",
427 context->input_list("partition_ids", &partition_ids_list));
431 context->input_list("feature_ids", &feature_ids_list));
433 OP_REQUIRES_OK(context, context->input_list("gradients", &gradients_list));
435 OP_REQUIRES_OK(context, context->input_list("hessians", &hessians_list));
488 OP_REQUIRES_OK(context, context->input_list("stats_accumulator_handles",
492 context->input_list("partition_ids", &partition_ids_list));
496 context->input_list("feature_ids", &feature_ids_list));
498 OP_REQUIRES_OK(context, context->input_list("gradients", &gradients_list));
500 OP_REQUIRES_OK(context, context->input_list("hessians", &hessians_list))
    [all...]
quantile_ops.cc 281 OP_REQUIRES_OK(context, context->input_list(kResourceHandlesName,
284 OP_REQUIRES_OK(context, context->input_list(kSummariesName, &summary_list));
693 OP_REQUIRES_OK(context, context->input_list(kResourceHandlesName,
    [all...]
  /development/testrunner/coverage/
coverage.py 182 input_list = []
184 input_list.append("-in %s" % input_path)
185 input_args = " ".join(input_list)
  /external/tensorflow/tensorflow/cc/ops/
while_loop.cc 78 std::vector<NodeBuilder::NodeOut> input_list({enter_input, next_input});
80 NodeBuilder builder = NodeBuilder(unique_name, "Merge").Input(input_list);

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