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author | Giorgio Arena <giorgio.arena@arm.com> | 2018-01-31 10:30:59 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:49:37 +0000 |
commit | dfca60b8e8805966624c7c941f289e090e3d73bb (patch) | |
tree | ee2763d823ed3d0dc68caef76edd6c991764c5c0 /src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp | |
parent | fe5ef38cdbc1e9a44c3786744dfc0cc915a608a6 (diff) | |
download | ComputeLibrary-dfca60b8e8805966624c7c941f289e090e3d73bb.tar.gz |
COMPMID-811 Add NHWC data format support for CL depthwise convolution QASYMM8
Change-Id: I89de432f3fbcba7abf9e1d4f8396a4334b4fa2c2
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/118324
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp')
-rw-r--r-- | src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp | 308 |
1 files changed, 0 insertions, 308 deletions
diff --git a/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp b/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp deleted file mode 100644 index c9fe1cfc0b..0000000000 --- a/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp +++ /dev/null @@ -1,308 +0,0 @@ -/* - * Copyright (c) 2017-2018 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 "arm_compute/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/CL/CLHelpers.h" -#include "arm_compute/core/CL/CLKernelLibrary.h" -#include "arm_compute/core/CL/ICLKernel.h" -#include "arm_compute/core/CL/ICLTensor.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "arm_compute/core/utils/quantization/AsymmHelpers.h" - -using namespace arm_compute; -using namespace arm_compute::misc::shape_calculator; - -CLDepthwiseConvolutionLayer3x3Kernel::CLDepthwiseConvolutionLayer3x3Kernel() - : _border_size(0), _input(), _output(), _weights(), _biases(), _conv_stride_x(0), _conv_stride_y(0), _conv_pad_left(0), _conv_pad_top(0) -{ -} - -BorderSize CLDepthwiseConvolutionLayer3x3Kernel::border_size() const -{ - return _border_size; -} - -void CLDepthwiseConvolutionLayer3x3Kernel::configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, - ActivationLayerInfo act_info) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32); - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights); - ARM_COMPUTE_ERROR_ON(weights->info()->dimension(0) != 3 || weights->info()->dimension(1) != 3); - - bool is_qasymm = is_data_type_quantized_asymmetric(input->info()->data_type()); - - if(biases != nullptr) - { - if(is_qasymm) - { - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(biases, 1, DataType::S32); - } - else - { - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(weights, biases); - } - ARM_COMPUTE_ERROR_ON(biases->info()->dimension(0) != weights->info()->dimension(2)); - ARM_COMPUTE_ERROR_ON(biases->info()->num_dimensions() > 1); - } - - // Get convolved dimensions - const TensorShape output_shape = compute_depthwise_convolution_shape(*input->info(), *weights->info(), conv_info); - - // Output auto inizialitation if not yet initialized - auto_init_if_empty(*output->info(), - output_shape, - 1, - input->info()->data_type(), - input->info()->fixed_point_position(), - input->info()->quantization_info()); - - ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); - - _input = input; - _output = output; - _weights = weights; - _biases = biases; - _conv_stride_x = conv_info.stride().first; - _conv_stride_y = conv_info.stride().second; - _conv_pad_left = conv_info.pad_left(); - _conv_pad_top = conv_info.pad_top(); - _border_size = BorderSize(_conv_pad_top, conv_info.pad_right(), conv_info.pad_bottom(), _conv_pad_left); - - // Set build options - ARM_COMPUTE_ERROR_ON(_conv_stride_x < 1 || _conv_stride_x > 3); - CLBuildOptions build_opts; - build_opts.add_option("-DCONV_STRIDE_X=" + support::cpp11::to_string(_conv_stride_x)); - build_opts.add_option_if(_biases != nullptr, "-DHAS_BIAS"); - - if(is_qasymm) - { - float multiplier = _input->info()->quantization_info().scale * _weights->info()->quantization_info().scale / _output->info()->quantization_info().scale; - int output_multiplier = 0; - int output_shift = 0; - quantization::calculate_quantized_multiplier_less_than_one(multiplier, &output_multiplier, &output_shift); - - build_opts.add_option("-DCONV_STRIDE_Y=" + support::cpp11::to_string(_conv_stride_y)); - build_opts.add_option("-DINPUT_OFFSET=" + support::cpp11::to_string(-_input->info()->quantization_info().offset)); - build_opts.add_option("-DWEIGHTS_OFFSET=" + support::cpp11::to_string(-_weights->info()->quantization_info().offset)); - build_opts.add_option("-DOUTPUT_OFFSET=" + support::cpp11::to_string(_output->info()->quantization_info().offset)); - build_opts.add_option("-DK_OFFSET=" + support::cpp11::to_string(9 * input->info()->quantization_info().offset * weights->info()->quantization_info().offset)); - build_opts.add_option("-DOUTPUT_MULTIPLIER=" + support::cpp11::to_string(output_multiplier)); - build_opts.add_option("-DOUTPUT_SHIFT=" + support::cpp11::to_string(output_shift)); - - if(act_info.enabled()) - { - const int a_val = input->info()->quantization_info().quantize(act_info.a(), RoundingPolicy::TO_NEAREST_UP); - const int b_val = input->info()->quantization_info().quantize(act_info.b(), RoundingPolicy::TO_NEAREST_UP); - const int o1 = input->info()->quantization_info().offset; - - build_opts.add_option("-DFUSED_ACTIVATION=" + lower_string(string_from_activation_func(act_info.activation()))); - build_opts.add_option("-DA_VAL=" + support::cpp11::to_string(a_val)); - build_opts.add_option("-DB_VAL=" + support::cpp11::to_string(b_val)); - build_opts.add_option("-DCONST_0=" + support::cpp11::to_string(o1)); - - if(output != nullptr) - { - const float s1 = input->info()->quantization_info().scale; - const float s2 = output->info()->quantization_info().scale; - const int o2 = output->info()->quantization_info().offset; - - if(o1 != o2 || s1 != s2) - { - build_opts.add_option("-DS1_VAL=" + float_to_string_with_full_precision(s1)); - build_opts.add_option("-DS2_VAL=" + float_to_string_with_full_precision(s2)); - build_opts.add_option("-DO1_VAL=" + support::cpp11::to_string(o1)); - build_opts.add_option("-DO2_VAL=" + support::cpp11::to_string(o2)); - } - } - } - } - - // Configure the local work size for Bifrost with a value obtained - // via exhaustive autotuning for the MobileNets tensor shapes. - const GPUTarget gpu_target = get_target(); - const bool is_bifrost = gpu_target_is_in(gpu_target, GPUTarget::G71, GPUTarget::G72, GPUTarget::G51, GPUTarget::G51BIG, GPUTarget::G51LIT, GPUTarget::TNOX); - - // Configure kernel window - unsigned int num_elems_read_per_iteration_x = 0; - unsigned int num_elems_read_per_iteration_y = 0; - unsigned int num_elems_written_per_iteration_x = 0; - unsigned int num_elems_written_per_iteration_y = 0; - - // Create kernel - std::string kernel_name; - - if(input->info()->data_type() == DataType::F16) - { - kernel_name = "depthwise_convolution_3x3_f16"; - num_elems_written_per_iteration_x = 8 / data_size_from_type(input->info()->data_type()); - num_elems_written_per_iteration_y = 1; - num_elems_read_per_iteration_y = 3; - switch(_conv_stride_x) - { - case 1: - num_elems_read_per_iteration_x = 8; - break; - case 2: - num_elems_read_per_iteration_x = 9; - break; - case 3: - num_elems_read_per_iteration_x = 16; - break; - default: - num_elems_read_per_iteration_x = 3 + (num_elems_written_per_iteration_x - 1) * _conv_stride_x; - break; - } - if(is_bifrost) - { - if(_conv_stride_x == 1 && _conv_stride_y == 1) - { - kernel_name = "depthwise_convolution_3x3_stridex1_stridey1_bifrost_f16"; - num_elems_read_per_iteration_x = 8; - num_elems_written_per_iteration_x = 4; - num_elems_read_per_iteration_y = 6; - num_elems_written_per_iteration_y = 4; - } - else if(_conv_stride_x == 2 && _conv_stride_y == 2) - { - kernel_name = "depthwise_convolution_3x3_stridex2_stridey2_bifrost_f16"; - num_elems_read_per_iteration_x = 10; - num_elems_written_per_iteration_x = 4; - num_elems_read_per_iteration_y = 5; - num_elems_written_per_iteration_y = 2; - } - } - } - else if(input->info()->data_type() == DataType::F32 && is_bifrost) - { - if(_conv_stride_x == 1 && _conv_stride_y == 1) - { - kernel_name = "depthwise_convolution_3x3_stridex1_stridey1_bifrost_f32"; - num_elems_read_per_iteration_x = 4; - num_elems_read_per_iteration_y = 6; - num_elems_written_per_iteration_x = 2; - num_elems_written_per_iteration_y = 4; - } - else if(_conv_stride_x == 2 && _conv_stride_y == 2) - { - kernel_name = "depthwise_convolution_3x3_stridex2_stridey2_bifrost_f32"; - num_elems_read_per_iteration_x = 6; - num_elems_read_per_iteration_y = 5; - num_elems_written_per_iteration_x = 2; - num_elems_written_per_iteration_y = 2; - } - else - { - kernel_name = "depthwise_convolution_3x3"; - num_elems_written_per_iteration_x = 8 / data_size_from_type(input->info()->data_type()); - num_elems_written_per_iteration_y = 1; - num_elems_read_per_iteration_x = 3 + (num_elems_written_per_iteration_x - 1) * _conv_stride_x; - num_elems_read_per_iteration_y = 3; - } - } - else - { - kernel_name = is_qasymm ? "depthwise_convolution_3x3_quantized" : "depthwise_convolution_3x3"; - num_elems_written_per_iteration_x = 8 / data_size_from_type(input->info()->data_type()); - num_elems_written_per_iteration_y = (is_qasymm && _conv_stride_y < 3) ? (2 / _conv_stride_y) : 1; - num_elems_read_per_iteration_x = 3 + (num_elems_written_per_iteration_x - 1) * _conv_stride_x; - num_elems_read_per_iteration_y = num_elems_written_per_iteration_y + 2; - } - - // Create window and update padding - Window win = calculate_max_window(*output->info(), Steps(num_elems_written_per_iteration_x, num_elems_written_per_iteration_y)); - - AccessWindowRectangle input_access(input->info(), -_conv_pad_left, -_conv_pad_top, - num_elems_read_per_iteration_x, num_elems_read_per_iteration_y, - _conv_stride_x, _conv_stride_y); - AccessWindowStatic weights_access(weights->info(), 0, 0, 3, 3); - AccessWindowRectangle output_access(output->info(), 0, 0, num_elems_written_per_iteration_x, num_elems_written_per_iteration_y); - - update_window_and_padding(win, input_access, weights_access, output_access); - - output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape())); - - ICLKernel::configure(win); - - _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options())); - - // Set config_id for enabling LWS tuning - _config_id = kernel_name; - _config_id += "_"; - _config_id += lower_string(string_from_data_type(input->info()->data_type())); - _config_id += "_"; - _config_id += support::cpp11::to_string(input->info()->dimension(0)); - _config_id += "_"; - _config_id += support::cpp11::to_string(input->info()->dimension(1)); - _config_id += "_"; - _config_id += support::cpp11::to_string(input->info()->dimension(2)); - _config_id += "_"; - _config_id += support::cpp11::to_string(output->info()->dimension(0)); - _config_id += "_"; - _config_id += support::cpp11::to_string(output->info()->dimension(1)); -} - -void CLDepthwiseConvolutionLayer3x3Kernel::run(const Window &window, cl::CommandQueue &queue) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); - - // Create input window and adjust - Window win_in = window; - win_in.adjust(Window::DimX, -_conv_pad_left, true); - win_in.adjust(Window::DimY, -_conv_pad_top, true); - win_in.set_dimension_step(Window::DimX, window.x().step() * _conv_stride_x); - win_in.set_dimension_step(Window::DimY, window.y().step() * _conv_stride_y); - - Window slice_in = win_in.first_slice_window_3D(); - Window slice_out = window.first_slice_window_3D(); - Window slice_weights = window.first_slice_window_3D(); - slice_weights.set_dimension_step(Window::DimX, 0); - slice_weights.set_dimension_step(Window::DimY, 0); - - // Set biases - if(_biases != nullptr) - { - unsigned int idx = 3 * num_arguments_per_3D_tensor(); - Window slice_biases; - slice_biases.use_tensor_dimensions(_biases->info()->tensor_shape()); - add_1D_tensor_argument(idx, _biases, slice_biases); - } - - do - { - unsigned int idx = 0; - add_3D_tensor_argument(idx, _input, slice_in); - add_3D_tensor_argument(idx, _output, slice_out); - add_3D_tensor_argument(idx, _weights, slice_weights); - - enqueue(queue, *this, slice_out, _lws_hint); - } - while(window.slide_window_slice_3D(slice_out) && win_in.slide_window_slice_3D(slice_in)); -} |