/ohos5.0/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}; variable 71 const int dim[2] = {2, -2}; variable 85 const int dim[2] = {2, -1}; variable 120 const int dim[2] = {2, 2}; variable 139 const int dim[2] = {2, 2}; variable 157 const int dim[2] = {2, 2}; variable 175 const int dim[2] = {2, 2}; variable 220 const int dim[2] = {2, 2}; variable 237 const int dim[2] = {2, 2}; variable 258 const int dim[2] = {2, 2}; variable [all …]
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/ohos5.0/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}; variable 71 const int dim[2] = {2, -2}; variable 85 const int dim[2] = {2, -1}; variable 120 const int dim[2] = {2, 2}; variable 139 const int dim[2] = {2, 2}; variable 157 const int dim[2] = {2, 2}; variable 175 const int dim[2] = {2, 2}; variable 220 const int dim[2] = {2, 2}; variable 237 const int dim[2] = {2, 2}; variable 258 const int dim[2] = {2, 2}; variable [all …]
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/ohos5.0/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() argument 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() argument 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() argument 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() argument 60 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetStride() 70 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetActivation() 81 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetDilation() [all …]
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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 | 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() argument 66 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveEndMaskTensor() argument 68 std::shared_ptr<NNTensor> endMaskTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveEndMaskTensor() 77 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveEllipsisMaskTensor() argument 88 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveNewAxisTensor() argument [all …]
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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); 59 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveDepthRadius() argument 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() argument 71 std::shared_ptr<NNTensor> alphaTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveAlpha() 79 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveBeta() argument 81 std::shared_ptr<NNTensor> betaTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveBeta() 89 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveBias() argument 91 std::shared_ptr<NNTensor> biasTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveBias() [all …]
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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); 56 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetArgmaxAxis() argument 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() argument 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() argument 78 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetArgmaxTopK() 86 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetArgmaxOutMaxValue() argument [all …]
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H A D | detection_post_process_test.cpp | 73 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetInputSize() argument 75 std::shared_ptr<NNTensor> inputSizeTensor = TransToNNTensor(dataType, dim, quantParam, type); in SetInputSize() 83 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetScale() argument 85 std::shared_ptr<NNTensor> scaleTensor = TransToNNTensor(dataType, dim, quantParam, type); in SetScale() 94 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetNmsIoUThreshold() argument 104 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetNmsScoreThreshold() argument 114 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetMaxDetections() argument 124 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetDetectionsPerClass() argument 134 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetMaxClassesPerDetection() argument 144 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetNumClasses() argument [all …]
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H A D | lstm_test.cpp | 75 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveBidirectional() argument 85 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveHasBias() argument 87 std::shared_ptr<NNTensor> hasBiasTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveHasBias() 95 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveInputSize() argument 105 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveHiddenSize() argument 115 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveNumLayers() argument 125 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveNumDirections() argument 135 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveDropout() argument 137 std::shared_ptr<NNTensor> dropoutTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveDropout() 145 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveZoneoutCell() argument [all …]
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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, 68 heightTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveHeightTensor() 78 widthTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveWidthTensor() 88 ratioTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveRatioTensor() 95 …ResizeBilinearBuilderTest::SaveModeTensor(OH_NN_DataType dataType, const std::vector<int32_t> &dim, in SaveModeTensor() argument 98 modeTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveModeTensor() [all …]
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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); 77 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetActivation() argument 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() argument 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() argument 101 std::shared_ptr<NNTensor> tensor = TransToNNTensor(dataType, dim, quantParam, type); in SetUseAxis() 110 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetHasBias() argument [all …]
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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() argument 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() argument 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() argument 76 std::shared_ptr<NNTensor> shiftTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveShift()
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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 … 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 … 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 …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() argument 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() argument 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() argument 76 std::shared_ptr<NNTensor> deltaTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveDelta()
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H A D | layernorm_builder_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); 59 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveNormAixsTensor() argument 63 std::shared_ptr<NNTensor> normAxisTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveNormAixsTensor() 69 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveEpsilonTensor() argument 73 std::shared_ptr<NNTensor> transposeBTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveEpsilonTensor() 79 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveParamAxisTensor() argument 83 std::shared_ptr<NNTensor> paramAxisTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveParamAxisTensor()
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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() argument 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() argument 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()
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H A D | matmul_builder_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); 58 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveTransposeATensor() argument 60 std::shared_ptr<NNTensor> transposeATensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveTransposeATensor() 68 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveTransposeBTensor() argument 70 std::shared_ptr<NNTensor> transposeBTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveTransposeBTensor() 78 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SaveActivationTensor() argument 80 std::shared_ptr<NNTensor> activationTensor = TransToNNTensor(dataType, dim, quantParam, type); in SaveActivationTensor()
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H A D | reduce_all_builder_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); 55 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetKeepDims() argument 57 std::shared_ptr<NNTensor> keepDimsTensor = TransToNNTensor(dataType, dim, quantParam, type); in SetKeepDims() 65 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetCoeff() argument 67 std::shared_ptr<NNTensor> coeffTensor = TransToNNTensor(dataType, dim, quantParam, type); in SetCoeff() 75 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) in SetReduceToEnd() argument 77 std::shared_ptr<NNTensor> reduceToEndTensor = TransToNNTensor(dataType, dim, quantParam, type); in SetReduceToEnd()
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/ohos5.0/foundation/arkui/ace_engine/test/unittest/base/ |
H A D | base_utils_test.cpp | 521 ASSERT_EQ(dim.Value(), 0); 551 ASSERT_EQ(dim.Value(), 1.0); 616 ASSERT_EQ(dim.Value(), 0.0); 1179 formula, num1, num2, [](const Dimension& dim) -> double { return dim.Value(); }, opRes)); in __anonc261d8e20502() argument 1183 formula, num1, num2, [](const Dimension& dim) -> double { return dim.Value(); }, opRes)); in __anonc261d8e20602() argument 1187 formula, num1, num2, [](const Dimension& dim) -> double { return dim.Value(); }, opRes)); in __anonc261d8e20702() argument 1191 formula, num1, num2, [](const Dimension& dim) -> double { return dim.Value(); }, opRes)); in __anonc261d8e20802() argument 1195 formula, num1, num2, [](const Dimension& dim) -> double { return dim.Value(); }, opRes)); in __anonc261d8e20902() argument 1237 rpnexp, [](const Dimension& dim) -> double { return dim.Value(); }, result, opRes)); in __anonc261d8e21102() argument 1240 rpnexp, [](const Dimension& dim) -> double { return dim.Value(); }, result, opRes)); in __anonc261d8e21202() argument [all …]
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/ohos5.0/foundation/arkui/ace_engine/frameworks/bridge/declarative_frontend/jsview/ |
H A D | js_grid_container.cpp | 68 CalcDimension dim; in Create() local 70 if (ParseJsDimensionVp(obj->GetProperty("gutter"), dim)) { in Create() 71 gridContainerInfoBuilder.SetGutterWidth(dim); in Create() 75 if (ParseJsDimensionVp(obj->GetProperty("margin"), dim)) { in Create() 76 gridContainerInfoBuilder.SetMarginLeft(dim); in Create() 77 gridContainerInfoBuilder.SetMarginRight(dim); in Create()
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/ohos5.0/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() argument 34 tensor.dimensionCount = dim.size(); in TransToNNTensor() 35 tensor.dimensions = (dim.empty() ? nullptr : dim.data()); in TransToNNTensor()
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/ohos5.0/foundation/arkui/ace_engine/frameworks/bridge/declarative_frontend/engine/jsi/nativeModule/ |
H A D | arkts_native_calendar_picker_bridge.cpp | 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.SetValue(-1); in ParseCalendarPickerPadding() 45 dim.SetUnit(DimensionUnit::VP); in ParseCalendarPickerPadding() 46 result.unit = static_cast<int8_t>(dim.Unit()); in ParseCalendarPickerPadding() [all …]
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/ohos5.0/foundation/distributeddatamgr/relational_store/frameworks/native/rdb/src/ |
H A D | rd_utils.cpp | 260 uint32_t dim, void (*freeFunc)(void *)) in RdSqlBindFloatVector() argument 268 if (dim <= 0) { in RdSqlBindFloatVector() 269 LOG_ERROR("Invalid dim %{public}d", dim); in RdSqlBindFloatVector() 272 float *tmpVal = new float[dim](); in RdSqlBindFloatVector() 276 errno_t err = memcpy_s(tmpVal, dim * sizeof(float), val, dim * sizeof(float)); in RdSqlBindFloatVector() 279 LOG_ERROR("BindFloat failed due to memcpy %{public}d, dim is %{public}d", err, dim); in RdSqlBindFloatVector() 285 return TransferGrdErrno(GRD_KVApiInfo.DBSqlBindFloatVector(stmt, idx, tmpVal, dim, freeFunc)); in RdSqlBindFloatVector() 409 const float *RdUtils::RdSqlColumnFloatVector(GRD_SqlStmt *stmt, uint32_t idx, uint32_t *dim) in RdSqlColumnFloatVector() argument 417 return GRD_KVApiInfo.DBSqlColumnFloatVector(stmt, idx, dim); in RdSqlColumnFloatVector()
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/ohos5.0/docs/zh-cn/device-dev/reference/hdi-apis/nnrt/ |
H A D | _expand_dims_v10.md | 14 - axis,需要添加的维度的index,int32_t类型,值必须在[-dim-1,dim],且只允许常量值。
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H A D | _expand_dims_v20.md | 14 - axis,需要添加的维度的index,int32_t类型,值必须在[-dim-1,dim],且只允许常量值。
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