| /* |
| * Copyright (c) 2022 Arm Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "src/runtime/heuristics/dwc_native/ClDWCNativeDefaultConfigValhall.h" |
| #include "src/runtime/heuristics/dwc_native/ClDWCNativeHeuristicsHelpers.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/GPUTarget.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/TensorShape.h" |
| |
| namespace arm_compute |
| { |
| namespace cl_dwc |
| { |
| ClDWCNativeDefaultConfigValhall::ClDWCNativeDefaultConfigValhall(GPUTarget gpu) |
| : IClDWCNativeKernelConfig(gpu) |
| { |
| } |
| |
| DWCComputeKernelInfo ClDWCNativeDefaultConfigValhall::configure(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation, |
| unsigned int depth_multiplier) |
| { |
| using ConfigurationFunctionExecutorPtr = DWCComputeKernelInfo (ClDWCNativeDefaultConfigValhall::*)(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation, |
| unsigned int depth_multiplier); |
| |
| ClDWCNativeConfigArray<ConfigurationFunctionExecutorPtr> configs_G78(&ClDWCNativeDefaultConfigValhall::configure_G78_f32, |
| &ClDWCNativeDefaultConfigValhall::configure_G78_f16, |
| &ClDWCNativeDefaultConfigValhall::configure_G78_u8); |
| |
| ClDWCNativeConfigArray<ConfigurationFunctionExecutorPtr> configs_G77(&ClDWCNativeDefaultConfigValhall::configure_G78_f32, |
| &ClDWCNativeDefaultConfigValhall::configure_G77_f16, |
| &ClDWCNativeDefaultConfigValhall::configure_G78_u8); |
| |
| ConfigurationFunctionExecutorPtr func = nullptr; |
| switch(_target) |
| { |
| case GPUTarget::G77: |
| func = configs_G77.get_function(src->data_type()); |
| break; |
| case GPUTarget::G78: |
| default: |
| func = configs_G78.get_function(src->data_type()); |
| break; |
| } |
| |
| ARM_COMPUTE_ERROR_ON_MSG(func == nullptr, "Data type not supported for depthwise convolution"); |
| return (this->*func)(src, wei, conv_info, dilation, depth_multiplier); |
| } |
| |
| DWCComputeKernelInfo ClDWCNativeDefaultConfigValhall::configure_G78_f32(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation, |
| unsigned int depth_multiplier) |
| { |
| DWCComputeKernelInfo desc; |
| |
| if(src->data_layout() == DataLayout::NHWC) |
| { |
| const size_t idx_c = get_data_layout_dimension_index(wei->data_layout(), DataLayoutDimension::CHANNEL); |
| const size_t idx_w = get_data_layout_dimension_index(wei->data_layout(), DataLayoutDimension::WIDTH); |
| const TensorShape wei_shape = wei->tensor_shape(); |
| const size_t kernel_c = wei_shape[idx_c]; |
| const size_t kernel_w = wei_shape[idx_w]; |
| |
| desc.export_input_to_cl_image = false; |
| desc.export_weights_to_cl_image = use_cl_image_for_weights(wei, depth_multiplier); |
| |
| if(depth_multiplier == 1) |
| { |
| desc.n0 = 4; |
| } |
| else |
| { |
| if((depth_multiplier % 4) == 0) |
| { |
| desc.n0 = 4; |
| } |
| else if((depth_multiplier % 2) == 0) |
| { |
| desc.n0 = 2; |
| } |
| else |
| { |
| desc.n0 = 1; |
| } |
| } |
| |
| // Note: If we reduce n0, export to cl_image must be false |
| ARM_COMPUTE_ERROR_ON((adjust_vec_size(desc.n0, kernel_c) != desc.n0) && (desc.export_weights_to_cl_image == true)); |
| |
| desc.n0 = adjust_vec_size(desc.n0, kernel_c); |
| |
| // Set m0 only if stride_x == 1 and dilation_x == 1 |
| if(conv_info.stride().first == 1 && dilation.x() == 1) |
| { |
| if((kernel_w >= 9) || (kernel_w == 1)) |
| { |
| desc.m0 = 1; |
| } |
| else |
| { |
| desc.m0 = 2; |
| } |
| } |
| else |
| { |
| desc.m0 = 1; |
| } |
| } |
| |
| return desc; |
| } |
| |
| DWCComputeKernelInfo ClDWCNativeDefaultConfigValhall::configure_G78_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation, |
| unsigned int depth_multiplier) |
| { |
| DWCComputeKernelInfo desc; |
| |
| if(src->data_layout() == DataLayout::NHWC) |
| { |
| // Src and weights have the same dimension indices |
| const size_t idx_c = get_data_layout_dimension_index(wei->data_layout(), DataLayoutDimension::CHANNEL); |
| const size_t idx_w = get_data_layout_dimension_index(wei->data_layout(), DataLayoutDimension::WIDTH); |
| const TensorShape src_shape = src->tensor_shape(); |
| const TensorShape wei_shape = wei->tensor_shape(); |
| const size_t src_w = src_shape[idx_w]; |
| const size_t kernel_c = wei_shape[idx_c]; |
| const size_t kernel_w = wei_shape[idx_w]; |
| |
| desc.export_input_to_cl_image = false; |
| desc.export_weights_to_cl_image = use_cl_image_for_weights(wei, depth_multiplier); |
| |
| if(depth_multiplier == 1) |
| { |
| if(desc.export_weights_to_cl_image == false) |
| { |
| desc.n0 = 8; |
| } |
| else |
| { |
| desc.n0 = 4; |
| } |
| } |
| else |
| { |
| if((depth_multiplier % 4) == 0) |
| { |
| desc.n0 = 4; |
| } |
| else if((depth_multiplier % 2) == 0) |
| { |
| desc.n0 = 2; |
| } |
| else |
| { |
| desc.n0 = 1; |
| } |
| } |
| |
| // Note: If we reduce n0, export to cl_image must be false |
| ARM_COMPUTE_ERROR_ON((adjust_vec_size(desc.n0, kernel_c) != desc.n0) && (desc.export_weights_to_cl_image == true)); |
| |
| desc.n0 = adjust_vec_size(desc.n0, kernel_c); |
| |
| // Set m0 only if stride_x == 1 and dilation_x == 1 |
| if(conv_info.stride().first == 1 && dilation.x() == 1) |
| { |
| if((kernel_w >= 9) || (kernel_w == 1)) |
| { |
| desc.m0 = 1; |
| } |
| else |
| { |
| if((src_w % 5) == 0) |
| { |
| desc.m0 = 5; |
| } |
| else |
| { |
| desc.m0 = 4; |
| } |
| } |
| } |
| else |
| { |
| desc.m0 = 1; |
| } |
| } |
| |
| return desc; |
| } |
| |
| DWCComputeKernelInfo ClDWCNativeDefaultConfigValhall::configure_G78_u8(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation, |
| unsigned int depth_multiplier) |
| { |
| ARM_COMPUTE_UNUSED(wei); |
| |
| DWCComputeKernelInfo desc; |
| |
| if(src->data_layout() == DataLayout::NHWC) |
| { |
| desc.export_input_to_cl_image = false; |
| desc.export_weights_to_cl_image = false; |
| desc.n0 = (depth_multiplier == 1) ? 4 : 1; |
| if(conv_info.stride().first == 1 && dilation.x() == 1 && depth_multiplier == 1) |
| { |
| desc.m0 = 2; |
| } |
| else |
| { |
| desc.m0 = 1; |
| } |
| } |
| |
| return desc; |
| } |
| |
| DWCComputeKernelInfo ClDWCNativeDefaultConfigValhall::configure_G77_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation, |
| unsigned int depth_multiplier) |
| { |
| DWCComputeKernelInfo desc; |
| |
| if(src->data_layout() == DataLayout::NHWC) |
| { |
| const size_t idx_c = get_data_layout_dimension_index(wei->data_layout(), DataLayoutDimension::CHANNEL); |
| const size_t idx_w = get_data_layout_dimension_index(wei->data_layout(), DataLayoutDimension::WIDTH); |
| const TensorShape wei_shape = wei->tensor_shape(); |
| const size_t kernel_c = wei_shape[idx_c]; |
| const size_t kernel_w = wei_shape[idx_w]; |
| |
| desc.export_input_to_cl_image = false; |
| desc.export_weights_to_cl_image = use_cl_image_for_weights(wei, depth_multiplier); |
| |
| if(depth_multiplier == 1) |
| { |
| if(desc.export_weights_to_cl_image == false) |
| { |
| desc.n0 = 8; |
| } |
| else |
| { |
| desc.n0 = 4; |
| } |
| } |
| else |
| { |
| if((depth_multiplier % 4) == 0) |
| { |
| desc.n0 = 4; |
| } |
| else if((depth_multiplier % 2) == 0) |
| { |
| desc.n0 = 2; |
| } |
| else |
| { |
| desc.n0 = 1; |
| } |
| } |
| |
| // Note: If we reduce n0, export to cl_image must be false |
| ARM_COMPUTE_ERROR_ON((adjust_vec_size(desc.n0, kernel_c) != desc.n0) && (desc.export_weights_to_cl_image == true)); |
| |
| desc.n0 = adjust_vec_size(desc.n0, kernel_c); |
| |
| // Set m0 only if stride_x == 1 and dilation_x == 1 |
| if(conv_info.stride().first == 1 && dilation.x() == 1) |
| { |
| if((kernel_w >= 9) || (kernel_w == 1)) |
| { |
| desc.m0 = 1; |
| } |
| else |
| { |
| desc.m0 = 2; |
| } |
| } |
| else |
| { |
| desc.m0 = 1; |
| } |
| } |
| |
| return desc; |
| } |
| } // namespace cl_dwc |
| } // namespace arm_compute |