Searched defs:filterShape (Results 1 - 4 of 4) sorted by relevance
/frameworks/ml/nn/common/operations/ |
H A D | Conv2D.cpp | 37 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \ 38 uint32_t filterWidth = getSizeOfDimension(filterShape, 2); \ 80 const float* filterData, const Shape& filterShape, 98 filterData, convertShapeToDims(filterShape), 108 const uint8_t* filterData, const Shape& filterShape, 119 int32_t filterOffset = -filterShape.offset; 128 if (!GetQuantizedConvolutionMultipler(inputShape, filterShape, biasShape, 147 filterData, convertShapeToDims(filterShape), filterOffset, 79 convFloat32(const float* inputData, const Shape& inputShape, const float* filterData, const Shape& filterShape, const float* biasData, const Shape& biasShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t activation, float* outputData, const Shape& outputShape) argument 107 convQuant8(const uint8_t* inputData, const Shape& inputShape, const uint8_t* filterData, const Shape& filterShape, const int32_t* biasData, const Shape& biasShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t activation, uint8_t* outputData, const Shape& outputShape) argument
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H A D | DepthwiseConv2D.cpp | 29 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \ 30 uint32_t filterWidth = getSizeOfDimension(filterShape, 2); \ 38 const float* filterData, const Shape& filterShape, 54 filterData, convertShapeToDims(filterShape), 66 const uint8_t* filterData, const Shape& filterShape, 83 if (!GetQuantizedConvolutionMultipler(inputShape, filterShape, biasShape, 94 uint32_t filterOffset = -filterShape.offset; 99 filterData, convertShapeToDims(filterShape), filterOffset, 37 depthwiseConvFloat32(const float* inputData, const Shape& inputShape, const float* filterData, const Shape& filterShape, const float* biasData, const Shape& biasShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t depth_multiplier, int32_t activation, float* outputData, const Shape& outputShape) argument 65 depthwiseConvQuant8(const uint8_t* inputData, const Shape& inputShape, const uint8_t* filterData, const Shape& filterShape, const int32_t* biasData, const Shape& biasShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t depth_multiplier, int32_t activation, uint8_t* outputData, const Shape& outputShape) argument
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/frameworks/ml/nn/common/ |
H A D | CpuExecutor.cpp | 491 Shape filterShape = filter.shape(); local 494 int32_t filter_width = getSizeOfDimension(filterShape, 2); 495 int32_t filter_height = getSizeOfDimension(filterShape, 1); 578 Shape filterShape = filter.shape(); local 581 int32_t filter_width = getSizeOfDimension(filterShape, 2); 582 int32_t filter_height = getSizeOfDimension(filterShape, 1);
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H A D | OperationsUtils.cpp | 111 const Shape& filterShape, 115 const float input_product_scale = inputShape.scale * filterShape.scale; 110 GetQuantizedConvolutionMultipler(const Shape& inputShape, const Shape& filterShape, const Shape& biasShape, const Shape& outputShape, float* multiplier) argument
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