diff options
Diffstat (limited to 'src/cpu/operators/CpuGemmConv2d.h')
| -rw-r--r-- | src/cpu/operators/CpuGemmConv2d.h | 78 |
1 files changed, 61 insertions, 17 deletions
diff --git a/src/cpu/operators/CpuGemmConv2d.h b/src/cpu/operators/CpuGemmConv2d.h index 61fe63a79f..118d366517 100644 --- a/src/cpu/operators/CpuGemmConv2d.h +++ b/src/cpu/operators/CpuGemmConv2d.h @@ -27,6 +27,7 @@ #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Types.h" #include "arm_compute/function_info/ActivationLayerInfo.h" + #include "src/cpu/ICpuOperator.h" #include <memory> @@ -106,17 +107,32 @@ public: * available which may introduce a drop of accuracy as well. Default is false * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is not supported */ - void configure(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo(), - const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false, unsigned int num_groups = 1); + void configure(const ITensorInfo *src, + const ITensorInfo *weights, + const ITensorInfo *biases, + ITensorInfo *dst, + const PadStrideInfo &conv_info, + const WeightsInfo &weights_info = WeightsInfo(), + const Size2D &dilation = Size2D(1U, 1U), + const ActivationLayerInfo &act_info = ActivationLayerInfo(), + bool enable_fast_math = false, + unsigned int num_groups = 1); /** Static function to check if given info will lead to a valid configuration * * Similar to CpuGemmConvolution::configure() * * @return a status */ - static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, - const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), - bool enable_fast_math = false, unsigned int num_groups = 1); + static Status validate(const ITensorInfo *src, + const ITensorInfo *weights, + const ITensorInfo *biases, + const ITensorInfo *output, + const PadStrideInfo &conv_info, + const WeightsInfo &weights_info = WeightsInfo(), + const Size2D &dilation = Size2D(1U, 1U), + const ActivationLayerInfo &act_info = ActivationLayerInfo(), + bool enable_fast_math = false, + unsigned int num_groups = 1); /** Indicates whether or not there is an optimal assembly implementation that can be used to process the given parameters. * @@ -124,10 +140,16 @@ public: * * @return a status. */ - static Status has_opt_impl(arm_compute::WeightFormat &expected_weight_format, const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, - const PadStrideInfo &conv_info, - const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), - const bool enable_fast_math = false); + static Status has_opt_impl(arm_compute::WeightFormat &expected_weight_format, + const ITensorInfo *src, + const ITensorInfo *weights, + const ITensorInfo *biases, + const ITensorInfo *output, + const PadStrideInfo &conv_info, + const WeightsInfo &weights_info = WeightsInfo(), + const Size2D &dilation = Size2D(1U, 1U), + const ActivationLayerInfo &act_info = ActivationLayerInfo(), + const bool enable_fast_math = false); // Inherited methods overridden: void run(ITensorPack &tensors) override; @@ -150,8 +172,15 @@ private: * @param[in] fixed_format (Optional) Select GEMM execution with variable weights. * @param[in] weight_format (Optional) The layout to be used for the weights tensor when running GEMM with variable weights. */ - void configure_mm(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo(), - bool enable_fast_math = false, int gemm_3d_depth = 1, bool fixed_format = false, arm_compute::WeightFormat weight_format = arm_compute::WeightFormat::UNSPECIFIED); + void configure_mm(const ITensorInfo *src, + const ITensorInfo *weights, + const ITensorInfo *biases, + ITensorInfo *output, + const ActivationLayerInfo &act_info = ActivationLayerInfo(), + bool enable_fast_math = false, + int gemm_3d_depth = 1, + bool fixed_format = false, + arm_compute::WeightFormat weight_format = arm_compute::WeightFormat::UNSPECIFIED); /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMConvolutionLayer matrix multiply routines * * @param[in] src Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32. @@ -170,8 +199,16 @@ private: * * @return a status */ - static Status validate_mm(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo(), - bool enable_fast_math = false, int gemm_3d_depth = 1, bool skip_im2col = false, bool fixed_format = false, arm_compute::WeightFormat weight_format = arm_compute::WeightFormat::UNSPECIFIED); + static Status validate_mm(const ITensorInfo *src, + const ITensorInfo *weights, + const ITensorInfo *biases, + const ITensorInfo *dst, + const ActivationLayerInfo &act_info = ActivationLayerInfo(), + bool enable_fast_math = false, + int gemm_3d_depth = 1, + bool skip_im2col = false, + bool fixed_format = false, + arm_compute::WeightFormat weight_format = arm_compute::WeightFormat::UNSPECIFIED); /** Static function to check if GEMM3D is supported in @ref NEGEMM or in @ref CpuGemmMLowpMatrixMultiplyCore * * @param[in] src Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32. @@ -182,7 +219,11 @@ private: * * @return a status */ - static Status validate_gemm3d(const ITensorInfo *src, const ITensorInfo *weights, const ActivationLayerInfo &act_info, int gemm_3d_depth, bool skip_im2col); + static Status validate_gemm3d(const ITensorInfo *src, + const ITensorInfo *weights, + const ActivationLayerInfo &act_info, + int gemm_3d_depth, + bool skip_im2col); struct SkipInfo { @@ -200,8 +241,11 @@ private: * * @return a SkipInfo instance. */ - static SkipInfo skip_im_col_info(const ITensorInfo *src, const ITensorInfo *weights, const PadStrideInfo &conv_info, - const Size2D &dilation, const ActivationLayerInfo &act_info); + static SkipInfo skip_im_col_info(const ITensorInfo *src, + const ITensorInfo *weights, + const PadStrideInfo &conv_info, + const Size2D &dilation, + const ActivationLayerInfo &act_info); /** Indicates if the convolution executes in variable weights mode. * @@ -236,7 +280,7 @@ private: bool _is_quantized; bool _is_prepared; - experimental::MemoryRequirements _aux_mem{ Count }; + experimental::MemoryRequirements _aux_mem{Count}; }; } // namespace cpu } // namespace arm_compute |