/third_party/mindspore/mindspore/ccsrc/ps/ |
D | optimizer_info.cc | 31 const std::vector<AddressPtr> &OptimizerInfo::inputs() const { return inputs_; } in inputs() 60 if (ps_send_index >= lens.size() || origin_index >= inputs_.size()) { in UpdateOptimInputValue() 67 AddressPtr optim_input = inputs_[origin_index]; in UpdateOptimInputValue() 273 inputs_.push_back(weight); in MomentumOptimInfo() 274 inputs_.push_back(accumulate); in MomentumOptimInfo() 275 inputs_.push_back(learning_rate); in MomentumOptimInfo() 276 inputs_.push_back(gradient); in MomentumOptimInfo() 277 inputs_.push_back(momentum); in MomentumOptimInfo() 288 EXC_IF_VEC_IDX_OOB(inputs_, origin_grad_index); in gradient() 289 MS_EXCEPTION_IF_NULL(inputs_[origin_grad_index]); in gradient() [all …]
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/third_party/mindspore/mindspore/lite/test/ut/src/runtime/kernel/arm/fp32/ |
D | fullconnection_fp32_tests.cc | 35 int FcTestInit1(std::vector<lite::Tensor *> *inputs_, std::vector<lite::Tensor *> *outputs_, in FcTestInit1() argument 42 inputs_->push_back(in_t); in FcTestInit1() 51 inputs_->push_back(weight_t); in FcTestInit1() 57 inputs_->push_back(bias_t); in FcTestInit1() 73 KernelInferShape(*inputs_, *outputs_, reinterpret_cast<OpParameter *>(matmal_param)); in FcTestInit1() 78 std::vector<lite::Tensor *> inputs_; in TEST_F() local 82 int total_size = FcTestInit1(&inputs_, &outputs_, matmul_param, &correct); in TEST_F() 87 …el::FullconnectionCPUKernel(reinterpret_cast<OpParameter *>(matmul_param), inputs_, outputs_, ctx); in TEST_F() 96 for (unsigned int i = 0; i < inputs_.size(); i++) { in TEST_F() 97 delete inputs_[i]; in TEST_F() [all …]
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D | matmul_fp32_tests.cc | 71 int MMTestInit(std::vector<lite::Tensor *> *inputs_, std::vector<lite::Tensor *> *outputs_, float *… in MMTestInit() argument 76 inputs_->push_back(in_t); in MMTestInit() 81 inputs_->push_back(weight_t); in MMTestInit() 90 int MMTestInit2(std::vector<lite::Tensor *> *inputs_, std::vector<lite::Tensor *> *outputs_, float … in MMTestInit2() argument 96 inputs_->push_back(in_t); in MMTestInit2() 101 inputs_->push_back(weight_t); in MMTestInit2() 106 inputs_->push_back(bias_t); in MMTestInit2() 116 std::vector<lite::Tensor *> inputs_; in TEST_F() local 131 int total_size = MMTestInit(&inputs_, &outputs_, a, b, a_shape, b_shape, c_shape); in TEST_F() 135 …auto mm = new kernel::MatmulCPUKernel(reinterpret_cast<OpParameter *>(matmul_param), inputs_, outp… in TEST_F() [all …]
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D | power_fp32_tests.cc | 28 int PowerTestInit(std::vector<lite::Tensor *> *inputs_, std::vector<lite::Tensor *> *outputs_, floa… in PowerTestInit() argument 34 inputs_->push_back(in_t); in PowerTestInit() 39 inputs_->push_back(weight_t); in PowerTestInit() 48 int PowerTestInit2(std::vector<lite::Tensor *> *inputs_, std::vector<lite::Tensor *> *outputs_, flo… in PowerTestInit2() argument 53 inputs_->push_back(in_t); in PowerTestInit2() 63 std::vector<lite::Tensor *> inputs_; in TEST_F() local 73 int total_size = PowerTestInit(&inputs_, &outputs_, a, b, a_shape, b_shape, c_shape); in TEST_F() 77 …auto *op = new kernel::PowerCPUKernel(reinterpret_cast<OpParameter *>(param), inputs_, outputs_, c… in TEST_F() 84 for (auto t : inputs_) delete t; in TEST_F() 89 std::vector<lite::Tensor *> inputs_; in TEST_F() local [all …]
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D | embedding_lookup_fp32_test.cc | 32 void ElTestInit(std::vector<Tensor *> *inputs_, std::vector<Tensor *> *outputs_, in ElTestInit() argument 38 inputs_->push_back(in_t_first); in ElTestInit() 44 inputs_->push_back(in_t_second); in ElTestInit() 50 inputs_->push_back(ids_t); in ElTestInit() 60 std::vector<Tensor *> inputs_; in TEST_F() local 63 ElTestInit(&inputs_, &outputs_, embedding_lookup_param_); in TEST_F() 69 reinterpret_cast<OpParameter *>(embedding_lookup_param_), inputs_, outputs_, ctx); in TEST_F() 84 for (unsigned int i = 0; i < inputs_.size(); i++) { in TEST_F() 85 delete inputs_[i]; in TEST_F()
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D | deconvolution_fp32_tests.cc | 323 int DeConvTestInit1(std::vector<lite::Tensor *> *inputs_, std::vector<lite::Tensor *> *outputs_, in DeConvTestInit1() argument 339 inputs_->push_back(in_t); in DeConvTestInit1() 362 inputs_->push_back(weight_t); in DeConvTestInit1() 368 inputs_->push_back(bias_t); in DeConvTestInit1() 476 std::vector<lite::Tensor *> inputs_; in TEST_F() local 484 int total_size = DeConvTestInit1(&inputs_, &outputs_, deconv_param, &correct); in TEST_F() 486 …new kernel::DeConvolutionCPUKernel(reinterpret_cast<OpParameter *>(deconv_param), inputs_, outputs… in TEST_F() 494 for (auto t : inputs_) delete t; in TEST_F() 499 int DeConvTestInit2(std::vector<lite::Tensor *> *inputs_, std::vector<lite::Tensor *> *outputs_, in DeConvTestInit2() argument 507 inputs_->push_back(in_t); in DeConvTestInit2() [all …]
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D | skip_gram_fp32.cc | 34 void SkipGramTestInit(std::vector<Tensor *> *inputs_, std::vector<Tensor *> *outputs_, in SkipGramTestInit() argument 41 inputs_->push_back(in_t_first); in SkipGramTestInit() 54 std::vector<Tensor *> inputs_; in TEST_F() local 58 SkipGramTestInit(&inputs_, &outputs_, skip_gram_param_); in TEST_F() 64 …new kernel::SkipGramCPUKernel(reinterpret_cast<OpParameter *>(skip_gram_param_), inputs_, outputs_… in TEST_F() 76 for (unsigned int i = 0; i < inputs_.size(); i++) { in TEST_F() 77 delete inputs_[i]; in TEST_F()
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D | roi_pooling_fp32_tests.cc | 28 int ROIPoolingTestInit(std::vector<lite::Tensor *> *inputs_, std::vector<lite::Tensor *> *outputs_,… in ROIPoolingTestInit() argument 34 inputs_->push_back(in_t); in ROIPoolingTestInit() 39 inputs_->push_back(roi_t); in ROIPoolingTestInit() 49 std::vector<lite::Tensor *> inputs_; in TEST_F() local 61 int total_size = ROIPoolingTestInit(&inputs_, &outputs_, a, b, a_shape, b_shape, c_shape); in TEST_F() 65 …auto *op = new kernel::ROIPoolingCPUKernel(reinterpret_cast<OpParameter *>(param), inputs_, output… in TEST_F() 75 for (auto t : inputs_) delete t; in TEST_F()
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D | constant_of_shape_fp32_test.cc | 28 int ConstantOfShapeTestInit(std::vector<lite::Tensor *> *inputs_, std::vector<lite::Tensor *> *outp… in ConstantOfShapeTestInit() argument 33 inputs_->push_back(in_t); in ConstantOfShapeTestInit() 47 std::vector<lite::Tensor *> inputs_; in TEST_F() local 55 int total_size = ConstantOfShapeTestInit(&inputs_, &outputs_, a, a_shape); in TEST_F() 60 …new kernel::ConstantOfShapeCPUKernel(reinterpret_cast<OpParameter *>(param), inputs_, outputs_, ct… in TEST_F() 70 for (auto t : inputs_) delete t; in TEST_F()
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/third_party/mindspore/mindspore/ccsrc/backend/optimizer/graph_kernel/model/ |
D | node.cc | 39 new_input->AddUser(this, inputs_.size()); in AddInput() 40 (void)inputs_.emplace_back(new_input); in AddInput() 45 if (i >= inputs_.size()) { in SetInput() 46 MS_LOG(EXCEPTION) << "The index " << i << " is out of the inputs range " << inputs_.size(); in SetInput() 48 auto &old_input = inputs_[i]; in SetInput() 51 inputs_[i] = new_input; in SetInput() 55 if (!inputs_.empty()) { in SetInputs() 57 for (size_t i = 0; i < inputs_.size(); i++) { in SetInputs() 58 inputs_[i]->RemoveUser(this, i); in SetInputs() 60 inputs_.clear(); in SetInputs() [all …]
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/third_party/mindspore/tests/ut/cpp/kernel/cpu/ |
D | adam_delta_cpu_kernel_test.cc | 36 inputs_.clear(); in SetUp() 49 inputs_.push_back(CreateKernelAddress(m_.data(), elem_num_)); in CreateAddress() 50 inputs_.push_back(CreateKernelAddress(v_.data(), elem_num_)); in CreateAddress() 51 inputs_.push_back(CreateKernelAddress(&beta1_power_, 1)); in CreateAddress() 52 inputs_.push_back(CreateKernelAddress(&beta2_power_, 1)); in CreateAddress() 53 inputs_.push_back(CreateKernelAddress(&lr_, 1)); in CreateAddress() 54 inputs_.push_back(CreateKernelAddress(&beta1_, 1)); in CreateAddress() 55 inputs_.push_back(CreateKernelAddress(&beta2_, 1)); in CreateAddress() 56 inputs_.push_back(CreateKernelAddress(&epsilon_, 1)); in CreateAddress() 57 inputs_.push_back(CreateKernelAddress(grad_.data(), elem_num_)); in CreateAddress() [all …]
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D | sparse_apply_lazy_adam_cpu_kernel_test.cc | 36 inputs_.clear(); in SetUp() 48 inputs_.push_back(CreateKernelAddress(var_.data())); in CreateInputAddress() 49 inputs_.push_back(CreateKernelAddress(m_.data())); in CreateInputAddress() 50 inputs_.push_back(CreateKernelAddress(v_.data())); in CreateInputAddress() 51 inputs_.push_back(CreateKernelAddress(&beta1_power_)); in CreateInputAddress() 52 inputs_.push_back(CreateKernelAddress(&beta2_power_)); in CreateInputAddress() 53 inputs_.push_back(CreateKernelAddress(&lr_)); in CreateInputAddress() 54 inputs_.push_back(CreateKernelAddress(&beta1_)); in CreateInputAddress() 55 inputs_.push_back(CreateKernelAddress(&beta2_)); in CreateInputAddress() 56 inputs_.push_back(CreateKernelAddress(&epsilon_)); in CreateInputAddress() [all …]
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D | sparse_apply_adam_cpu_kernel_test.cc | 36 inputs_.clear(); in SetUp() 48 inputs_.push_back(CreateKernelAddress(var_.data())); in CreateInputAddress() 49 inputs_.push_back(CreateKernelAddress(m_.data())); in CreateInputAddress() 50 inputs_.push_back(CreateKernelAddress(v_.data())); in CreateInputAddress() 51 inputs_.push_back(CreateKernelAddress(&beta1_power_)); in CreateInputAddress() 52 inputs_.push_back(CreateKernelAddress(&beta2_power_)); in CreateInputAddress() 53 inputs_.push_back(CreateKernelAddress(&lr_)); in CreateInputAddress() 54 inputs_.push_back(CreateKernelAddress(&beta1_)); in CreateInputAddress() 55 inputs_.push_back(CreateKernelAddress(&beta2_)); in CreateInputAddress() 56 inputs_.push_back(CreateKernelAddress(&epsilon_)); in CreateInputAddress() [all …]
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D | sparse_apply_proximal_adagrad_cpu_kernel_test.cc | 36 inputs_.clear(); in SetUp() 48 inputs_.push_back(CreateKernelAddress(var_.data())); in CreateInputAddress() 49 inputs_.push_back(CreateKernelAddress(accum_.data())); in CreateInputAddress() 50 inputs_.push_back(CreateKernelAddress(&lr_)); in CreateInputAddress() 51 inputs_.push_back(CreateKernelAddress(&l1_)); in CreateInputAddress() 52 inputs_.push_back(CreateKernelAddress(&l2_)); in CreateInputAddress() 53 inputs_.push_back(CreateKernelAddress(grad_.data())); in CreateInputAddress() 54 inputs_.push_back(CreateKernelAddress(indices.data())); in CreateInputAddress() 68 std::vector<AddressPtr> inputs_; member in mindspore::kernel::SparseApplyProximalAdagradCpuKernelTest 95 sparse_proximal_adagrad_->Launch(inputs_, workspace_, outputs_); in TEST_F() [all …]
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D | sparse_apply_ftrl_cpu_kernel_test.cc | 40 inputs_.clear(); in SetUp() 52 inputs_.push_back(CreateKernelAddress(var_.data())); in CreateInputAddress() 53 inputs_.push_back(CreateKernelAddress(accum_.data())); in CreateInputAddress() 54 inputs_.push_back(CreateKernelAddress(linear_.data())); in CreateInputAddress() 55 inputs_.push_back(CreateKernelAddress(grad_.data())); in CreateInputAddress() 56 inputs_.push_back(CreateKernelAddress(indices.data())); in CreateInputAddress() 71 std::vector<AddressPtr> inputs_; member in mindspore::kernel::SparseApplyFtrlCpuKernelTest 96 sparse_ftrl_->Launch(inputs_, workspace_, outputs_); in TEST_F() 123 sparse_ftrl_->Launch(inputs_, workspace_, outputs_); in TEST_F() 154 sparse_ftrl_->Launch(inputs_, workspace_, outputs_); in TEST_F()
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D | unique_with_pad_cpu_kernel_test.cc | 34 inputs_.clear(); in SetUp() 46 inputs_.push_back(CreateKernelAddress(x_.data())); in CreateAddress() 47 inputs_.push_back(CreateKernelAddress(&pad_dim_)); in CreateAddress() 60 std::vector<AddressPtr> inputs_; member in mindspore::kernel::UniqueWithPadCpuKernelTest 73 unique_with_pad_->Launch(inputs_, workspace_, outputs_); in TEST_F()
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/third_party/mindspore/mindspore/ccsrc/frontend/parallel/ |
D | strategy.h | 41 : stage_(stage), inputs_(std::move(inputs)), internal_size_(0), internal_stragies_() {} in Strategy() 44 inputs_ = another_stra.GetInputDim(); in Strategy() 54 size_t GetInputNumber() const { return inputs_.size(); } in GetInputNumber() 55 Strategys GetInputDim() const { return inputs_; } in GetInputDim() 58 if (inputs_.size() == 1) { in ExpandInputDimFromOneToTwo() 59 inputs_.push_back(inputs_[0]); in ExpandInputDimFromOneToTwo() 62 void ResetInputs(const Strategys &input) { inputs_ = input; } in ResetInputs() 71 if ((stage_ != another_stra->GetInputStage()) || (inputs_ != another_stra->GetInputDim())) { in IsEqual() 87 Strategys inputs_; variable
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/third_party/mindspore/mindspore/ccsrc/frontend/optimizer/irpass/ |
D | accumulaten_eliminate.h | 39 if (inputs_.empty() || node->func_graph() == nullptr) { in operator() 44 if (inputs_.size() == 2) { in operator() 45 return inputs_[1]; in operator() 49 if (inputs_.size() == 1 && args_.size() > 0) { in operator() 60 auto make_tuple = fg->NewCNode(inputs_); in operator() 73 inputs_.push_back(NewValueNode(prim::kPrimMakeTuple)); in Visit() 76 inputs_.push_back(x); in Visit() 85 inputs_.clear(); in Reset() 90 std::vector<AnfNodePtr> inputs_{}, args_{};
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/third_party/mindspore/mindspore/lite/test/ut/src/runtime/kernel/arm/int8/ |
D | pad_int8_tests.cc | 34 int PadInt8TestInit1(std::vector<Tensor *> *inputs_, std::vector<Tensor *> *outputs_, PadParameter … in PadInt8TestInit1() argument 43 inputs_->push_back(in_t); in PadInt8TestInit1() 64 std::vector<lite::Tensor *> inputs_; in TEST_F() local 70 int total_size = PadInt8TestInit1(&inputs_, &outputs_, pad_param, &correct); in TEST_F() 72 … new kernel::PadInt8CPUKernel(reinterpret_cast<OpParameter *>(pad_param), inputs_, outputs_, ctx); in TEST_F() 80 for (auto t : inputs_) delete t; in TEST_F() 85 int PadInt8TestInit2(std::vector<Tensor *> *inputs_, std::vector<Tensor *> *outputs_, PadParameter … in PadInt8TestInit2() argument 94 inputs_->push_back(in_t); in PadInt8TestInit2() 117 std::vector<lite::Tensor *> inputs_; in TEST_F() local 123 int total_size = PadInt8TestInit2(&inputs_, &outputs_, pad_param, &correct); in TEST_F() [all …]
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D | conv_1x1_int8_tests.cc | 72 int Conv1x1Int8TestInit1_perchannel(std::vector<lite::Tensor *> *inputs_, std::vector<lite::Tensor … in Conv1x1Int8TestInit1_perchannel() argument 82 inputs_->push_back(in_t); in Conv1x1Int8TestInit1_perchannel() 97 inputs_->push_back(weight_t); in Conv1x1Int8TestInit1_perchannel() 119 std::vector<lite::Tensor *> inputs_; in TEST_F() local 126 int total_size = Conv1x1Int8TestInit1_perchannel(&inputs_, &outputs_, conv_param, &correct); in TEST_F() 128 …new kernel::Convolution1x1Int8CPUKernel(reinterpret_cast<OpParameter *>(conv_param), inputs_, outp… in TEST_F() 136 for (auto t : inputs_) delete t; in TEST_F() 141 int Conv1x1Int8TestInit1(std::vector<lite::Tensor *> *inputs_, std::vector<lite::Tensor *> *outputs… in Conv1x1Int8TestInit1() argument 153 inputs_->push_back(in_t); in Conv1x1Int8TestInit1() 164 inputs_->push_back(weight_t); in Conv1x1Int8TestInit1() [all …]
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/third_party/mindspore/mindspore/lite/micro/example/mnist_stm32f746/mnist_stm32f746/src/ |
D | session.cc | 26 inputs_.resize(1); in CompileGraph() 33 inputs_[0] = new (std::nothrow) MTensor(String("graph_input-0"), kNumberTypeInt8, in_shape_0); in CompileGraph() 34 MS_ERROR_IF_NULL(inputs_[0]); in CompileGraph() 47 const void *inputs_data[inputs_.size()]; in RunGraph() 48 for (size_t i = 0; i < inputs_.size(); ++i) { in RunGraph() 49 inputs_data[i] = inputs_[i]->MutableData(); in RunGraph() 51 SetInputs(inputs_data, inputs_.size()); in RunGraph() 70 for (auto &input : inputs_) { in ~LiteSession() 101 for (const auto &input : inputs_) { in GetInputs()
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/third_party/mindspore/mindspore/lite/micro/example/mnist_x86/src/ |
D | session.cc | 26 inputs_.resize(1); in CompileGraph() 33 inputs_[0] = new (std::nothrow) MTensor(String("graph_input-0"), kNumberTypeInt8, in_shape_0); in CompileGraph() 34 MS_ERROR_IF_NULL(inputs_[0]); in CompileGraph() 48 const void *inputs_data[inputs_.size()]; in RunGraph() 49 for (size_t i = 0; i < inputs_.size(); ++i) { in RunGraph() 50 inputs_data[i] = inputs_[i]->MutableData(); in RunGraph() 52 SetInputs(inputs_data, inputs_.size()); in RunGraph() 71 for (auto &input : inputs_) { in ~LiteSession() 102 for (const auto &input : inputs_) { in GetInputs()
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/third_party/ninja/src/ |
D | graphviz.cc | 51 if (edge->inputs_.size() == 1 && edge->outputs_.size() == 1) { in AddTarget() 56 edge->inputs_[0], edge->outputs_[0], edge->rule_->name().c_str()); in AddTarget() 64 for (vector<Node*>::iterator in = edge->inputs_.begin(); in AddTarget() 65 in != edge->inputs_.end(); ++in) { in AddTarget() 67 if (edge->is_order_only(in - edge->inputs_.begin())) in AddTarget() 73 for (vector<Node*>::iterator in = edge->inputs_.begin(); in AddTarget() 74 in != edge->inputs_.end(); ++in) { in AddTarget()
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D | graph_test.cc | 406 EXPECT_EQ(1, edge->inputs_.size()); in TEST_F() 407 EXPECT_EQ("b", edge->inputs_[0]->path()); in TEST_F() 431 EXPECT_EQ(1, edge->inputs_.size()); in TEST_F() 432 EXPECT_EQ("c", edge->inputs_[0]->path()); in TEST_F() 458 EXPECT_EQ(1, edge->inputs_.size()); in TEST_F() 459 EXPECT_EQ("c", edge->inputs_[0]->path()); in TEST_F() 504 ASSERT_EQ(2u, edge->inputs_.size()); in TEST_F() 505 EXPECT_EQ("in", edge->inputs_[0]->path()); in TEST_F() 506 EXPECT_EQ("dd", edge->inputs_[1]->path()); in TEST_F() 638 ASSERT_EQ(3u, edge1->inputs_.size()); in TEST_F() [all …]
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/third_party/mindspore/mindspore/ccsrc/cxx_api/model/acl/ |
D | acl_model_multi.cc | 139 if (inputs_.empty()) { in Predict() 140 inputs_ = inputs; in Predict() 142 if (inputs.size() != inputs_.size()) { in Predict() 146 for (size_t i = 0; i < inputs_.size(); ++i) { in Predict() 147 …auto input_tensor = MSTensor::CreateTensor(inputs_[i].Name(), inputs_[i].DataType(), inputs_[i].Sh… in Predict() 149 inputs_[i] = (*input_tensor); in Predict() 160 if (inputs_.empty()) { in SetInputs() 175 inputs_.emplace_back(*input_tensor); in SetInputs() 237 return inputs_; in GetInputs()
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