/foundation/ai/neural_network_runtime/test/unittest/components/v2_0/inner_model/ |
H A D | nn_tensor_test.cpp | 39 const int dim[2] = {2, 2}; in HWTEST_F() local 40 OH_NN_Tensor tensor {OH_NN_FLOAT32, 2, dim, nullptr, OH_NN_TENSOR}; in HWTEST_F() 71 const int dim[2] = {2, -2}; in HWTEST_F() local 72 OH_NN_Tensor tensor {OH_NN_FLOAT32, 2, dim, nullptr, OH_NN_TENSOR}; in HWTEST_F() 85 const int dim[2] = {2, -1}; in HWTEST_F() local 86 OH_NN_Tensor tensor {OH_NN_FLOAT32, 2, dim, nullptr, OH_NN_TENSOR}; in HWTEST_F() 99 const int dim[3] = {1000000, 1000000, 10000000}; in HWTEST_F() local 100 OH_NN_Tensor tensor {OH_NN_FLOAT32, 2, dim, nullptr, OH_NN_TENSOR}; in HWTEST_F() 120 const int dim[2] = {2, 2}; in HWTEST_F() local 121 OH_NN_Tensor tensor {OH_NN_FLOAT32, 2, dim, in HWTEST_F() 139 const int dim[2] = {2, 2}; HWTEST_F() local 157 const int dim[2] = {2, 2}; HWTEST_F() local 175 const int dim[2] = {2, 2}; HWTEST_F() local 188 const int dim[2] = {2, -1}; HWTEST_F() local 204 const int dim[2] = {2, -1}; HWTEST_F() local 220 const int dim[2] = {2, 2}; HWTEST_F() local 237 const int dim[2] = {2, 2}; HWTEST_F() local 258 const int dim[2] = {2, 2}; HWTEST_F() local 279 const int dim[2] = {2, 2}; HWTEST_F() local 300 const int dim[2] = {2, 2}; HWTEST_F() local 315 const int dim[2] = {2, 2}; HWTEST_F() local 338 const int dim[2] = {2, 2}; HWTEST_F() local 359 const int dim[2] = {2, 2}; HWTEST_F() local 388 const int dim[2] = {2, 2}; HWTEST_F() local 406 const int dim[2] = {2, 2}; HWTEST_F() local 423 const int dim[2] = {2, 2}; HWTEST_F() local 440 const int dim[2] = {2, 2}; HWTEST_F() local [all...] |
/foundation/ai/neural_network_runtime/test/unittest/components/v1_0/inner_model/ |
H A D | nn_tensor_test.cpp | 39 const int dim[2] = {2, 2}; in HWTEST_F() local 40 OH_NN_Tensor tensor {OH_NN_FLOAT32, 2, dim, nullptr, OH_NN_TENSOR}; in HWTEST_F() 71 const int dim[2] = {2, -2}; in HWTEST_F() local 72 OH_NN_Tensor tensor {OH_NN_FLOAT32, 2, dim, nullptr, OH_NN_TENSOR}; in HWTEST_F() 85 const int dim[2] = {2, -1}; in HWTEST_F() local 86 OH_NN_Tensor tensor {OH_NN_FLOAT32, 2, dim, nullptr, OH_NN_TENSOR}; in HWTEST_F() 99 const int dim[3] = {1000000, 1000000, 10000000}; in HWTEST_F() local 100 OH_NN_Tensor tensor {OH_NN_FLOAT32, 2, dim, nullptr, OH_NN_TENSOR}; in HWTEST_F() 120 const int dim[2] = {2, 2}; in HWTEST_F() local 121 OH_NN_Tensor tensor {OH_NN_FLOAT32, 2, dim, in HWTEST_F() 139 const int dim[2] = {2, 2}; HWTEST_F() local 157 const int dim[2] = {2, 2}; HWTEST_F() local 175 const int dim[2] = {2, 2}; HWTEST_F() local 188 const int dim[2] = {2, -1}; HWTEST_F() local 204 const int dim[2] = {2, -1}; HWTEST_F() local 220 const int dim[2] = {2, 2}; HWTEST_F() local 237 const int dim[2] = {2, 2}; HWTEST_F() local 258 const int dim[2] = {2, 2}; HWTEST_F() local 279 const int dim[2] = {2, 2}; HWTEST_F() local 300 const int dim[2] = {2, 2}; HWTEST_F() local 315 const int dim[2] = {2, 2}; HWTEST_F() local 338 const int dim[2] = {2, 2}; HWTEST_F() local 359 const int dim[2] = {2, 2}; HWTEST_F() local 388 const int dim[2] = {2, 2}; HWTEST_F() local 406 const int dim[2] = {2, 2}; HWTEST_F() local 423 const int dim[2] = {2, 2}; HWTEST_F() local 440 const int dim[2] = {2, 2}; HWTEST_F() local [all...] |
/foundation/ai/neural_network_runtime/test/unittest/ops/ |
H A D | ops_test.cpp | 24 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam) in SaveInputTensor() 29 inputTensor = TransToNNTensor(dataType, dim, quantParam, OH_NN_TENSOR); in SaveInputTensor() 35 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam) in SaveOutputTensor() 40 outputTensor = TransToNNTensor(dataType, dim, quantParam, OH_NN_TENSOR); in SaveOutputTensor() 46 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetKernelSize() 49 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetKernelSize() 57 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetStride() 60 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetStride() 68 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetActivation() 70 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantPara in SetActivation() 23 SaveInputTensor(const std::vector<uint32_t>& inputsIndex, OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam) SaveInputTensor() argument 34 SaveOutputTensor(const std::vector<uint32_t>& outputsIndex, OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam) SaveOutputTensor() argument 45 SetKernelSize(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetKernelSize() argument 56 SetStride(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetStride() argument 67 SetActivation(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetActivation() argument 77 SetDilation(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetDilation() argument 88 SetGroup(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetGroup() argument [all...] |
H A D | ops_test.h | 33 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam); 35 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam); 39 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 41 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 43 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 45 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 47 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
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H A D | argmax_test.cpp | 33 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 35 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 37 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 39 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 56 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetArgmaxAxis() 58 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetArgmaxAxis() 66 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetArgmaxKeepdims() 68 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetArgmaxKeepdims() 76 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetArgmaxTopK() 78 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantPara in SetArgmaxTopK() 55 SetArgmaxAxis(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetArgmaxAxis() argument 65 SetArgmaxKeepdims(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetArgmaxKeepdims() argument 75 SetArgmaxTopK(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetArgmaxTopK() argument 85 SetArgmaxOutMaxValue(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetArgmaxOutMaxValue() argument [all...] |
H A D | split_builder_test.cpp | 33 void SaveAxisTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 35 void SaveOutputNumTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 37 void SaveSizeSplitsTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 59 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveOutputNumTensor() 61 std::shared_ptr<NNTensor> outputNumTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveOutputNumTensor() 70 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveSizeSplitsTensor() 73 std::shared_ptr<NNTensor> sizeSplitsTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveSizeSplitsTensor() 81 void SplitBuilderTest::SaveAxisTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, in SaveAxisTensor() argument 84 std::shared_ptr<NNTensor> axisTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveAxisTensor() 58 SaveOutputNumTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveOutputNumTensor() argument 69 SaveSizeSplitsTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveSizeSplitsTensor() argument
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H A D | exp_test.cpp | 34 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
36 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
38 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
54 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type)
in SaveBase() 56 std::shared_ptr<NNTensor> baseTensor = TransToNNTensor(dataType, dim, quantParam, type);
in SaveBase() 64 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type)
in SaveScale() 66 std::shared_ptr<NNTensor> scaleTensor = TransToNNTensor(dataType, dim, quantParam, type);
in SaveScale() 74 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type)
in SaveShift() 76 std::shared_ptr<NNTensor> shiftTensor = TransToNNTensor(dataType, dim, quantParam, type);
in SaveShift() 53 SaveBase(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveBase() argument 63 SaveScale(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveScale() argument 73 SaveShift(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveShift() argument
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H A D | quant_dtype_cast_builder_test.cpp | 33 void SaveSrcTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 35 void SaveDstTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 37 void SaveAxisTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 53 void QuantDTypeCastBuilderTest::SaveSrcTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, in SaveSrcTensor() argument 56 std::shared_ptr<NNTensor> srcTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveSrcTensor() 63 void QuantDTypeCastBuilderTest::SaveDstTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, in SaveDstTensor() argument 66 std::shared_ptr<NNTensor> dstTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveDstTensor() 73 void QuantDTypeCastBuilderTest::SaveAxisTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, in SaveAxisTensor() argument 76 std::shared_ptr<NNTensor> axisTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveAxisTensor()
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H A D | range_test.cpp | 34 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
36 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
38 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
54 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type)
in SaveStart() 56 std::shared_ptr<NNTensor> startTensor = TransToNNTensor(dataType, dim, quantParam, type);
in SaveStart() 64 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type)
in SaveLimit() 66 std::shared_ptr<NNTensor> limitTensor = TransToNNTensor(dataType, dim, quantParam, type);
in SaveLimit() 74 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type)
in SaveDelta() 76 std::shared_ptr<NNTensor> deltaTensor = TransToNNTensor(dataType, dim, quantParam, type);
in SaveDelta() 53 SaveStart(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveStart() argument 63 SaveLimit(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveLimit() argument 73 SaveDelta(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveDelta() argument
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H A D | strided_slice_builder_test.cpp | 33 void SaveBeginMaskTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 35 void SaveEndMaskTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 37 void SaveEllipsisMaskTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 39 void SaveNewAxisTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 41 void SaveShrinkAxisTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 55 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveBeginMaskTensor() 57 std::shared_ptr<NNTensor> beginMaskTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveBeginMaskTensor() 66 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveEndMaskTensor() 68 std::shared_ptr<NNTensor> endMaskTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveEndMaskTensor() 77 const std::vector<int32_t> &dim, cons in SaveEllipsisMaskTensor() 54 SaveBeginMaskTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveBeginMaskTensor() argument 65 SaveEndMaskTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveEndMaskTensor() argument 76 SaveEllipsisMaskTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveEllipsisMaskTensor() argument 87 SaveNewAxisTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveNewAxisTensor() argument 98 SaveShrinkAxisTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveShrinkAxisTensor() argument [all...] |
H A D | resize_bilinear_builder_test.cpp | 33 void SaveHeightTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 35 void SaveWidthTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 37 void SaveRatioTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 39 void SaveModeTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 41 void SaveOutsideTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, 65 void ResizeBilinearBuilderTest::SaveHeightTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, in SaveHeightTensor() argument 68 heightTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveHeightTensor() 75 void ResizeBilinearBuilderTest::SaveWidthTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, in SaveWidthTensor() argument 78 widthTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveWidthTensor() 85 void ResizeBilinearBuilderTest::SaveRatioTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, in SaveRatioTensor() argument 95 SaveModeTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveModeTensor() argument 105 SaveOutsideTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveOutsideTensor() argument [all...] |
H A D | lrn_test.cpp | 34 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
36 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
38 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
40 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
42 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
59 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type)
in SaveDepthRadius() 61 std::shared_ptr<NNTensor> depthRadiusTensor = TransToNNTensor(dataType, dim, quantParam, type);
in SaveDepthRadius() 69 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type)
in SaveAlpha() 71 std::shared_ptr<NNTensor> alphaTensor = TransToNNTensor(dataType, dim, quantParam, type);
in SaveAlpha() 79 const std::vector<int32_t> &dim, cons in SaveBeta() 58 SaveDepthRadius(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveDepthRadius() argument 68 SaveAlpha(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveAlpha() argument 78 SaveBeta(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveBeta() argument 88 SaveBias(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveBias() argument 98 SaveNormRegion(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveNormRegion() argument [all...] |
H A D | detection_post_process_test.cpp | 35 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
37 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
39 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
41 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
43 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
45 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
47 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
49 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
51 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
53 const std::vector<int32_t> &dim, cons 72 SetInputSize(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetInputSize() argument 82 SetScale(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetScale() argument 93 SetNmsIoUThreshold(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetNmsIoUThreshold() argument 103 SetNmsScoreThreshold(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetNmsScoreThreshold() argument 113 SetMaxDetections(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetMaxDetections() argument 123 SetDetectionsPerClass(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetDetectionsPerClass() argument 133 SetMaxClassesPerDetection(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetMaxClassesPerDetection() argument 143 SetNumClasses(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetNumClasses() argument 153 SetUseRegularNms(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetUseRegularNms() argument 163 SetOutQuantized(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetOutQuantized() argument [all...] |
H A D | lstm_test.cpp | 34 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
36 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
38 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
40 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
42 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
44 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
46 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
48 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
50 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
52 const std::vector<int32_t> &dim, cons 74 SaveBidirectional(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveBidirectional() argument 84 SaveHasBias(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveHasBias() argument 94 SaveInputSize(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveInputSize() argument 104 SaveHiddenSize(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveHiddenSize() argument 114 SaveNumLayers(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveNumLayers() argument 124 SaveNumDirections(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveNumDirections() argument 134 SaveDropout(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveDropout() argument 144 SaveZoneoutCell(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveZoneoutCell() argument 154 SaveZoneoutHidden(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveZoneoutHidden() argument 164 SaveProjSize(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SaveProjSize() argument [all...] |
H A D | fullconnection_with_axis_test.cpp | 34 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 36 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 38 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 40 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 77 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetActivation() 79 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetActivation() 88 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetAxis() 90 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetAxis() 99 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetUseAxis() 101 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantPara in SetUseAxis() 76 SetActivation(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetActivation() argument 87 SetAxis(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetAxis() argument 98 SetUseAxis(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetUseAxis() argument 109 SetHasBias(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetHasBias() argument [all...] |
H A D | avgpool_padmod_test.cpp | 33 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 35 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 37 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 57 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetRoundMode() 59 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetRoundMode() 67 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetGlobal() 69 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetGlobal() 77 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetPadMode() 79 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetPadMode() 56 SetRoundMode(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetRoundMode() argument 66 SetGlobal(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetGlobal() argument 76 SetPadMode(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetPadMode() argument
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H A D | maxpool_padmode_test.cpp | 33 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 35 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 37 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); 57 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetRoundMode() 59 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetRoundMode() 67 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetGlobal() 69 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetGlobal() 77 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetPadMode() 79 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetPadMode() 56 SetRoundMode(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetRoundMode() argument 66 SetGlobal(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetGlobal() argument 76 SetPadMode(OH_NN_DataType dataType, const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) SetPadMode() argument
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/foundation/arkui/ace_engine/test/unittest/base/ |
H A D | base_utils_test.cpp | 158 StringExpression::CalculateExp(FORMULA_ONE, [](const Dimension& dim) -> double { return dim.Value(); }); in HWTEST_F() 171 StringExpression::CalculateExp(FORMULA_TWO, [](const Dimension& dim) -> double { return dim.Value(); }); in HWTEST_F() 173 StringExpression::CalculateExp(FORMULA_THREE, [](const Dimension& dim) -> double { return dim.Value(); }); in HWTEST_F() 519 auto dim = StringUtils::StringToDimension(stringToDimensionValue, true); in HWTEST_F() local 521 ASSERT_EQ(dim.Value(), 0); in HWTEST_F() 522 ASSERT_EQ(dim.Unit(), DimensionUnit::AUTO); in HWTEST_F() 535 auto dim in HWTEST_F() local 550 auto dim = StringUtils::StringToDimension(stringToDimensionValue, true); HWTEST_F() local 563 auto dim = StringUtils::StringToDimension(stringToDimensionValue, true); HWTEST_F() local 576 auto dim = StringUtils::StringToDimension(stringToDimensionValue, true); HWTEST_F() local 589 auto dim = StringUtils::StringToDimension(stringToDimensionValue, true); HWTEST_F() local 602 auto dim = StringUtils::StringToDimension(stringToDimensionValue, true); HWTEST_F() local 615 auto dim = StringUtils::StringToDimension(stringToDimensionValue, true); HWTEST_F() local [all...] |
/foundation/arkui/ace_engine/frameworks/bridge/declarative_frontend/jsview/ |
H A D | js_grid_container.cpp | 62 CalcDimension dim; in Create() local 64 if (ParseJsDimensionVp(obj->GetProperty("gutter"), dim)) { in Create() 65 gridContainerInfoBuilder.SetGutterWidth(dim); in Create() 69 if (ParseJsDimensionVp(obj->GetProperty("margin"), dim)) { in Create() 70 gridContainerInfoBuilder.SetMarginLeft(dim); in Create() 71 gridContainerInfoBuilder.SetMarginRight(dim); in Create()
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/foundation/ai/neural_network_runtime/test/unittest/common/ |
H A D | base_test.cpp | 28 OH_NN_DataType dataType, const std::vector<int32_t>& dim, const OH_NN_QuantParam* quantParam, in TransToNNTensor() 34 tensor.dimensionCount = dim.size(); in TransToNNTensor() 35 tensor.dimensions = (dim.empty() ? nullptr : dim.data()); in TransToNNTensor() 27 TransToNNTensor( OH_NN_DataType dataType, const std::vector<int32_t>& dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) TransToNNTensor() argument
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/foundation/arkui/ace_engine/frameworks/bridge/declarative_frontend/engine/jsi/nativeModule/ |
H A D | arkts_native_calendar_picker_bridge.cpp | 30 const EcmaVM* vm, const Local<JSValueRef>& value, CalcDimension& dim, ArkUISizeType& result) in ParseCalendarPickerPadding() 32 if (ArkTSUtils::ParseJsDimensionVpNG(vm, value, dim)) { in ParseCalendarPickerPadding() 33 if (LessOrEqual(dim.Value(), 0.0)) { in ParseCalendarPickerPadding() 34 dim.SetValue(-1); in ParseCalendarPickerPadding() 35 dim.SetUnit(DimensionUnit::VP); in ParseCalendarPickerPadding() 37 result.unit = static_cast<int8_t>(dim.Unit()); in ParseCalendarPickerPadding() 38 if (dim.CalcValue() != "") { in ParseCalendarPickerPadding() 39 result.string = dim.CalcValue().c_str(); in ParseCalendarPickerPadding() 41 result.value = dim.Value(); in ParseCalendarPickerPadding() 44 dim in ParseCalendarPickerPadding() 29 ParseCalendarPickerPadding( const EcmaVM* vm, const Local<JSValueRef>& value, CalcDimension& dim, ArkUISizeType& result) ParseCalendarPickerPadding() argument [all...] |
/foundation/arkui/ace_engine/frameworks/core/components_ng/property/ |
H A D | calc_length.cpp | 40 calcValue_, [vpScale, fpScale, lpxScale, parentLength](const Dimension& dim) -> double { in NormalizeToPx() 42 dim.NormalizeToPx(vpScale, fpScale, lpxScale, parentLength, result); in NormalizeToPx()
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/foundation/graphic/graphic_3d/lume/metaobject/include/meta/interface/model/ |
H A D | data_model_index.h | 45 DataModelIndex(size_t index, const DataModelIndex* dim = nullptr) : index_(index), dimension_(dim) {} in DataModelIndex()
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/foundation/distributeddatamgr/relational_store/frameworks/native/rdb/src/ |
H A D | rd_utils.cpp | 296 uint32_t dim, void (*freeFunc)(void *)) in RdSqlBindFloatVector() 304 if (dim <= 0) { in RdSqlBindFloatVector() 305 LOG_ERROR("Invalid dim %{public}d", dim); in RdSqlBindFloatVector() 308 float *tmpVal = new float[dim](); in RdSqlBindFloatVector() 312 errno_t err = memcpy_s(tmpVal, dim * sizeof(float), val, dim * sizeof(float)); in RdSqlBindFloatVector() 315 LOG_ERROR("BindFloat failed due to memcpy %{public}d, dim is %{public}d", err, dim); in RdSqlBindFloatVector() 321 return TransferGrdErrno(GRD_KVApiInfo.DBSqlBindFloatVector(stmt, idx, tmpVal, dim, freeFun in RdSqlBindFloatVector() 295 RdSqlBindFloatVector(GRD_SqlStmt *stmt, uint32_t idx, float *val, uint32_t dim, void (*freeFunc)(void *)) RdSqlBindFloatVector() argument 445 RdSqlColumnFloatVector(GRD_SqlStmt *stmt, uint32_t idx, uint32_t *dim) RdSqlColumnFloatVector() argument [all...] |
/foundation/ai/neural_network_runtime/frameworks/native/neural_network_runtime/ |
H A D | nntensor.cpp | 358 uint32_t dim = static_cast<uint32_t>(shape[j]); in CheckDimRanges() local 359 if (dim < minDimRanges[j] || dim > maxDimRanges[j]) { in CheckDimRanges() 361 "[%{public}u, %{public}u]", j, dim, minDimRanges[j], maxDimRanges[j]); in CheckDimRanges()
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