/external/mesa3d/src/gallium/drivers/swr/rasterizer/codegen/ |
D | gen_backends.py | 72 output_list = [] 74 output_list.append(list(range(x))) 77 output_combinations = list(itertools.product(*output_list)) 78 output_list = [] 91 output_list.append(tempStr) 97 numFiles = (len(output_list) + args.split - 1) // args.split 100 linesPerFile = (len(output_list) + numFiles - 1) // numFiles 101 chunkedList = [output_list[x:x+linesPerFile] for x in range(0, len(output_list), linesPerFile)]
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/external/tensorflow/tensorflow/core/kernels/ |
D | list_kernels.cc | 94 TensorList** output_list) { in ForwardInputOrCreateNewList() argument 112 *output_list = tmp_out; in ForwardInputOrCreateNewList() 125 *output_list = output_tensor->scalar<Variant>()().get<TensorList>(); in ForwardInputOrCreateNewList() 210 TensorList* output_list = nullptr; in Compute() local 211 OP_REQUIRES_OK(c, ForwardInputOrCreateNewList(c, 0, 0, *l, &output_list)); in Compute() 212 output_list->tensors().push_back(input); in Compute() 363 TensorList output_list; in Compute() local 364 output_list.element_shape = input_list->element_shape; in Compute() 365 output_list.element_dtype = input_list->element_dtype; in Compute() 366 output_list.max_num_elements = input_list->max_num_elements; in Compute() [all …]
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D | example_parsing_ops.cc | 261 TF_RETURN_IF_ERROR(ctx->output_list("dense_values", &dense_values)); in WriteOutput() 262 TF_RETURN_IF_ERROR(ctx->output_list("sparse_indices", &sparse_indices)); in WriteOutput() 263 TF_RETURN_IF_ERROR(ctx->output_list("sparse_values", &sparse_values)); in WriteOutput() 264 TF_RETURN_IF_ERROR(ctx->output_list("sparse_shapes", &sparse_shapes)); in WriteOutput() 276 TF_RETURN_IF_ERROR(ctx->output_list("ragged_values", &ragged_values)); in WriteOutput() 277 TF_RETURN_IF_ERROR(ctx->output_list("ragged_row_splits", &ragged_splits)); in WriteOutput() 373 OP_REQUIRES_OK(ctx, ctx->output_list("dense_values", &dense_values)); in Compute() 374 OP_REQUIRES_OK(ctx, ctx->output_list("sparse_indices", &sparse_indices)); in Compute() 375 OP_REQUIRES_OK(ctx, ctx->output_list("sparse_values", &sparse_values)); in Compute() 376 OP_REQUIRES_OK(ctx, ctx->output_list("sparse_shapes", &sparse_shapes)); in Compute() [all …]
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D | list_kernels.h | 56 TensorList** output_list); 268 TensorList* output_list = nullptr; in Compute() local 269 OP_REQUIRES_OK(c, ForwardInputOrCreateNewList(c, 0, 0, *l, &output_list)); in Compute() 270 output_list->tensors().pop_back(); in Compute() 490 TensorList output_list; in Compute() local 492 output_list.element_dtype = input_tensor.dtype(); in Compute() 512 output_list.element_shape = element_shape; in Compute() 518 output_list.tensors().reserve(lengths.shape().dim_size(0)); in Compute() 539 output_list.tensors().emplace_back(aligned); in Compute() 545 output_tensor->scalar<Variant>()() = std::move(output_list); in Compute() [all …]
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D | scoped_allocator_ops_test.cc | 181 OpOutputList output_list; in ExecOp() local 182 Status s = context_->output_list("output", &output_list); in ExecOp() 184 const Tensor& output = *(output_list[0]); in ExecOp() 303 OpOutputList output_list; in ExecOp() local 304 Status s = context_->output_list("output", &output_list); in ExecOp() 306 for (int i = 0; i < output_list.size(); i++) { in ExecOp() 307 const Tensor& output = *(output_list[i]); in ExecOp()
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D | remote_fused_graph_execute_op_test.cc | 103 const string& name, const std::vector<Output>& output_list, in BuildRemoteFusedGraphExecuteOp() argument 109 auto node_out_list = ops::AsNodeOutList(scope, InputList(output_list)); in BuildRemoteFusedGraphExecuteOp() 254 std::vector<Output> output_list; in RewriteGraphToFusedGraph() local 256 output_list.emplace_back(op_a); in RewriteGraphToFusedGraph() 259 BuildRemoteFusedGraphExecuteOp(REMOTE_FUSED_EXECUTE_OP_NODE_NAME, output_list, in RewriteGraphToFusedGraph()
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D | queue_op.cc | 185 ctx, ctx->output_list("components", &output_components), callback); in ComputeAsync() 240 ctx, ctx->output_list("components", &output_components), callback); in ComputeAsync() 313 ctx, ctx->output_list("components", &output_components), callback); in ComputeAsync()
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D | identity_n_op.h | 31 OP_REQUIRES_OK(context, context->output_list("output", &output)); in Compute()
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D | ctc_decoder_ops.cc | 104 s = ctx->output_list("decoded_indices", decoded_indices); in ValidateInputsGenerateOutputs() 106 s = ctx->output_list("decoded_values", decoded_values); in ValidateInputsGenerateOutputs() 108 s = ctx->output_list("decoded_shape", decoded_shape); in ValidateInputsGenerateOutputs()
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D | dynamic_partition_op.cc | 69 OP_REQUIRES_OK(c, c->output_list("outputs", Tout)); in ValidateAndAllocateOutputs()
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D | sdca_internal.cc | 107 TF_RETURN_IF_ERROR(context->output_list("out_delta_sparse_weights", in Initialize() 112 context->output_list("out_delta_dense_weights", &dense_weights_outputs)); in Initialize()
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D | ragged_gather_op.cc | 221 context->output_list("output_nested_splits", &splits_out)); in WriteSplits()
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D | decode_csv_op.cc | 77 OP_REQUIRES_OK(ctx, ctx->output_list("output", &output)); in Compute()
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D | ragged_tensor_from_variant_op.cc | 289 context->output_list("output_nested_splits", &splits_out)); in ReturnRaggedTensor()
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D | dynamic_partition_op_gpu.cu.cc | 227 OP_REQUIRES_OK_ASYNC(c, c->output_list("outputs", Tout), done); in AllocateOutputs()
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/external/tensorflow/tensorflow/python/ops/ragged/ |
D | ragged_squeeze_op_test.py | 183 def test_passing_ragged(self, input_list, output_list, squeeze_ranks=None): argument 186 ref = ragged_factory_ops.constant(output_list) 199 output_list = [[['H', 'e', 'l', 'l', 'o'], ['W', 'o', 'r', 'l', 'd', '!']], 202 ref = ragged_factory_ops.constant(output_list)
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/external/tensorflow/tensorflow/core/kernels/hexagon/ |
D | graph_transfer_utils.cc | 115 std::vector<Output> output_list; in BuildFusedGraphDef() local 127 output_list.emplace_back(Output(ret, 0)); in BuildFusedGraphDef() 147 auto node_out_list = ops::AsNodeOutList(scope, InputList(output_list)); in BuildFusedGraphDef()
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/external/toolchain-utils/cros_utils/ |
D | buildbot_utils.py | 81 output_list = ast.literal_eval(msg) 82 output_dict = output_list[0]
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/external/tensorflow/tensorflow/core/kernels/boosted_trees/ |
D | quantile_ops.cc | 170 context, context->output_list(kSummariesName, &summaries_output_list)); in Compute() 237 context, context->output_list(kSummariesName, &summaries_output_list)); in Compute() 468 OP_REQUIRES_OK(context, context->output_list(kBucketBoundariesName, in Compute() 527 OP_REQUIRES_OK(context, context->output_list(kBucketsName, &buckets_list)); in Compute()
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D | stats_ops.cc | 87 context, context->output_list("node_ids_list", &output_node_ids_list)); in Compute() 90 context->output_list("gains_list", &output_gains_list)); in Compute() 92 OP_REQUIRES_OK(context, context->output_list("thresholds_list", in Compute() 96 context->output_list("left_node_contribs_list", in Compute() 100 context->output_list("right_node_contribs_list", in Compute()
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
D | tensor_list_utils.h | 38 xla::XlaOp* output_list);
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D | tensor_list_utils.cc | 132 xla::XlaOp* output_list) { in BuildNonNestedTensorList() argument 134 *output_list = xla::Tuple(buffer.builder(), {buffer, push_index}); in BuildNonNestedTensorList()
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/external/tensorflow/tensorflow/core/kernels/data/ |
D | map_defun_op.cc | 282 TF_RETURN_IF_ERROR(ctx->output_list(kOutput, &opts->output)); in SetupOutputs()
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/external/tensorflow/tensorflow/python/ |
D | tfe_wrapper.cc | 230 PyObject* output_list = PyList_New(output_len); in InputTFE_OutputTensorHandles() local 234 PyList_SetItem(output_list, i, output); in InputTFE_OutputTensorHandles() 237 return tensorflow::pyo_or_throw(output_list); in InputTFE_OutputTensorHandles()
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/external/tensorflow/tensorflow/core/framework/ |
D | op_kernel_test.cc | 807 EXPECT_FALSE(ctx->output_list("non_existent_output", &out_list).ok()); in TEST_F() 808 ASSERT_TRUE(ctx->output_list("b", &out_list).ok()); in TEST_F()
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