/third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/akg/ |
D | akg_kernel_attrs_process.cc | 36 std::vector<std::string> output_names = {"output"}; in SetAkgAttrsForFour2Five() local 38 AnfAlgo::SetNodeAttr("output_names", MakeValue(output_names), anf_node); in SetAkgAttrsForFour2Five() 53 std::vector<std::string> output_names = {"output"}; in SetAkgAttrsForFive2Four() local 55 AnfAlgo::SetNodeAttr("output_names", MakeValue(output_names), anf_node); in SetAkgAttrsForFive2Four() 80 std::vector<std::string> output_names = {"output"}; in SetAkgAttrsForCast() local 82 AnfAlgo::SetNodeAttr(kAttrOutputNames, MakeValue(output_names), anf_node); in SetAkgAttrsForCast() 93 std::vector<std::string> output_names{"dgamma_red_hw", "dbeta_red_hw", "data_minus_mean"}; in SetAkgAttrsForBNGrad1() local 95 AnfAlgo::SetNodeAttr(kAttrOutputNames, MakeValue(output_names), anf_node); in SetAkgAttrsForBNGrad1() 102 std::vector<std::string> output_names{"bn_scale", "bn_bias", "rs", "dgamma_dx", "dbeta_dx"}; in SetAkgAttrsForBNGrad2() local 104 AnfAlgo::SetNodeAttr(kAttrOutputNames, MakeValue(output_names), anf_node); in SetAkgAttrsForBNGrad2() [all …]
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/third_party/mindspore/mindspore/ccsrc/backend/optimizer/ascend/mindir/ |
D | sparse_softmax_cross_entropy_with_logits_unify_mindir.cc | 81 std::vector<std::string> output_names = {"output"}; in CreateOneHot() local 83 one_hot_primitive->set_attr(kAttrOutputNames, MakeValue(output_names)); in CreateOneHot() 172 std::vector<std::string> output_names = {"y"}; in CreateReduceMean() local 174 reduce_primitive->set_attr(kAttrOutputNames, MakeValue(output_names)); in CreateReduceMean() 212 std::vector<std::string> output_names = {"output"}; in CreateExpandDims() local 214 expand_dims_primitive->set_attr(kAttrOutputNames, MakeValue(output_names)); in CreateExpandDims() 235 std::vector<std::string> output_names = {"output"}; in CreateExpandDimsPynative() local 237 expand_dims_primitive->set_attr(kAttrOutputNames, MakeValue(output_names)); in CreateExpandDimsPynative() 272 std::vector<std::string> output_names = {"output"}; in CreateTile() local 274 tile_primitive->set_attr(kAttrOutputNames, MakeValue(output_names)); in CreateTile() [all …]
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D | avg_pool_grad_unify_mindir.cc | 216 auto output_names = std::vector<std::string>{"output"}; in Process() 217 AnfAlgo::SetNodeAttr(kAttrOutputNames, MakeValue(output_names), avgpool_grad_vm); in Process()
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D | conv2d_unify_mindir.cc | 127 auto output_names = std::vector<std::string>{"output"}; in CreateTranspose() 129 AnfAlgo::SetNodeAttr(kAttrOutputNames, MakeValue(output_names), transpose); in CreateTranspose()
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/third_party/mindspore/mindspore/ccsrc/fl/server/ |
D | parameter_aggregator.cc | 317 const std::vector<std::string> &output_names = aggr_kernel->output_names(); in GenerateAggregationKernelParams() local 318 …(void)std::transform(output_names.begin(), output_names.end(), std::back_inserter(aggr_params.outp… in GenerateAggregationKernelParams() 341 const std::vector<std::string> &output_names = optimizer_kernel->output_names(); in GenerateOptimizerKernelParams() local 342 …(void)std::transform(output_names.begin(), output_names.end(), std::back_inserter(optimizer_params… in GenerateOptimizerKernelParams()
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/third_party/ffmpeg/libavfilter/dnn/ |
D | dnn_backend_openvino.h | 35 … const char **output_names, uint32_t nb_output, AVFrame *out_frame); 37 … const char **output_names, uint32_t nb_output, AVFrame *out_frame);
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D | dnn_backend_native.c | 48 … const char **output_names, uint32_t nb_output, AVFrame *out_frame, 262 … const char **output_names, uint32_t nb_output, AVFrame *out_frame, in execute_model_native() argument 341 const char *output_name = output_names[i]; in execute_model_native() 376 … const char **output_names, uint32_t nb_output, AVFrame *out_frame) in ff_dnn_execute_model_native() argument 391 return execute_model_native(model, input_name, in_frame, output_names, nb_output, out_frame, 1); in ff_dnn_execute_model_native()
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D | dnn_backend_tf.h | 35 … const char **output_names, uint32_t nb_output, AVFrame *out_frame);
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D | dnn_backend_openvino.c | 610 … const char **output_names, uint32_t nb_output, AVFrame *out_frame) in ff_dnn_execute_model_ov() argument 641 if (init_model_ov(ov_model, input_name, output_names[0]) != DNN_SUCCESS) { in ff_dnn_execute_model_ov() 652 task.output_name = output_names[0]; in ff_dnn_execute_model_ov() 664 … const char **output_names, uint32_t nb_output, AVFrame *out_frame) in ff_dnn_execute_model_async_ov() argument 682 if (init_model_ov(ov_model, input_name, output_names[0]) != DNN_SUCCESS) { in ff_dnn_execute_model_async_ov() 699 task->output_name = output_names[0]; in ff_dnn_execute_model_async_ov()
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D | dnn_backend_tf.c | 66 … const char **output_names, uint32_t nb_output, AVFrame *out_frame, 714 … const char **output_names, uint32_t nb_output, AVFrame *out_frame, in execute_model_tf() argument 772 tf_outputs[i].oper = TF_GraphOperationByName(tf_model->graph, output_names[i]); in execute_model_tf() 776 av_log(ctx, AV_LOG_ERROR, "Could not find output \"%s\" in model\n", output_names[i]); \ in execute_model_tf() 824 … const char **output_names, uint32_t nb_output, AVFrame *out_frame) in ff_dnn_execute_model_tf() argument 839 return execute_model_tf(model, input_name, in_frame, output_names, nb_output, out_frame, 1); in ff_dnn_execute_model_tf()
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D | dnn_backend_native.h | 134 … const char **output_names, uint32_t nb_output, AVFrame *out_frame);
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/third_party/mindspore/mindspore/lite/tools/converter/ |
D | converter.cc | 132 auto output_names = ConverterContext::GetInstance()->GetGraphOutputTensorNames(); in Convert() local 133 MS_ASSERT(output_names.size() == meta_graphT->outputIndex.size()); in Convert() 134 for (size_t idx = 0; idx < output_names.size(); idx++) { in Convert() 136 tensor->name = output_names.at(idx); in Convert()
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D | converter_context.h | 109 void SetGraphOutputTensorNames(const std::vector<std::string> &output_names) { in SetGraphOutputTensorNames() argument 110 graph_output_tensor_names_ = output_names; in SetGraphOutputTensorNames()
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/third_party/mindspore/mindspore/lite/micro/example/mnist_stm32f746/mnist_stm32f746/src/ |
D | session.cc | 113 Vector<String> output_names; in GetOutputTensorNames() local 115 output_names.push_back(output->tensor_name()); in GetOutputTensorNames() 117 return output_names; in GetOutputTensorNames()
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/third_party/mindspore/mindspore/lite/micro/example/mnist_x86/src/ |
D | session.cc | 114 Vector<String> output_names; in GetOutputTensorNames() local 116 output_names.push_back(output->tensor_name()); in GetOutputTensorNames() 118 return output_names; in GetOutputTensorNames()
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/third_party/ffmpeg/libavfilter/ |
D | dnn_interface.h | 95 … const char **output_names, uint32_t nb_output, AVFrame *out_frame); 98 … const char **output_names, uint32_t nb_output, AVFrame *out_frame);
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/third_party/mindspore/mindspore/ccsrc/fl/server/kernel/ |
D | aggregation_kernel.h | 76 const std::vector<std::string> &output_names() { return params_info_.outputs_names(); } in output_names() function
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D | optimizer_kernel.h | 59 const std::vector<std::string> &output_names() { return params_info_.outputs_names(); } in output_names() function
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/third_party/mindspore/mindspore/ccsrc/backend/optimizer/ascend/ir_fission/ |
D | gather_v2_ds_fission.cc | 108 auto output_names = AnfAlgo::GetNodeAttr<std::vector<std::string>>(origin_node, kAttrOutputNames); in CreateGatherV2Ds() local 109 AnfAlgo::SetNodeAttr(kAttrOutputNames, MakeValue(output_names), gather_v2); in CreateGatherV2Ds()
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/third_party/mindspore/mindspore/lite/src/train/ |
D | train_export.cc | 349 const std::vector<std::string> &output_names, const Model *model, in ExportNet() argument 424 …if (std::find(output_names.begin(), output_names.end(), tensor->tensor_name()) != output_names.end… in ExportNet()
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D | train_export.h | 43 …onst std::vector<mindspore::lite::Tensor *> &tensors, const std::vector<std::string> &output_names,
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/third_party/mindspore/tests/ut/cpp/pre_activate/mem_reuse/ |
D | mem_reuse_test.cc | 75 std::vector<std::string> output_names = {"output"}; in CreateKernelGraph() local 77 ValuePtr output_names_v = MakeValue(output_names); in CreateKernelGraph()
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/third_party/mindspore/mindspore/ccsrc/runtime/device/ |
D | kernel_adjust.cc | 664 std::vector<std::string> output_names = {"y"}; in CreateEndOfSequenceOP() local 665 ValuePtr output_names_v = MakeValue(output_names); in CreateEndOfSequenceOP() 694 std::vector<std::string> output_names = {"output"}; in CreateStreamAssignAddnOP() local 696 ValuePtr output_names_v = MakeValue(output_names); in CreateStreamAssignAddnOP() 979 std::vector<std::string> output_names = {"output"}; in CreateAssignAdd() local 981 ValuePtr output_names_v = MakeValue(output_names); in CreateAssignAdd() 1028 std::vector<std::string> output_names = {"output"}; in CreateAssign() local 1030 ValuePtr output_names_v = MakeValue(output_names); in CreateAssign()
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/third_party/mindspore/mindspore/ccsrc/transform/graph_ir/ |
D | op_adapter.cc | 68 auto output_names = GetValue<const std::vector<std::string>>(value); in GenerateCustomOpOutputMap() local 69 for (size_t i = 0; i < output_names.size(); ++i) { in GenerateCustomOpOutputMap() 71 output_map[i] = output_names[i]; in GenerateCustomOpOutputMap() 72 op->CustomOutputRegister(output_names[i]); in GenerateCustomOpOutputMap()
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/third_party/ffmpeg/tools/python/ |
D | convert_from_tensorflow.py | 65 self.output_names = [] 424 if node.name in self.output_names: 474 self.output_names.append(node.name) 487 if name in self.output_names:
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