diff options
Diffstat (limited to 'src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp')
-rw-r--r-- | src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp | 590 |
1 files changed, 126 insertions, 464 deletions
diff --git a/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp b/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp index 8d2c81bc15..873601bb11 100644 --- a/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2020 Arm Limited. + * Copyright (c) 2017-2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -25,104 +25,23 @@ #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/Helpers.h" -#include "arm_compute/core/PixelValue.h" +#include "arm_compute/core/Utils.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/core/utils/quantization/AsymmHelpers.h" #include "arm_compute/runtime/CL/CLScheduler.h" -#include "src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.h" -#include "src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.h" -#include "src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NHWCKernel.h" -#include "src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NHWCKernel.h" + +#include "src/common/utils/Log.h" #include "src/core/CL/kernels/CLDepthwiseConvolutionLayerNativeKernel.h" -#include "src/core/CL/kernels/CLDepthwiseConvolutionLayerReshapeWeightsKernel.h" -#include "src/core/CL/kernels/CLFillBorderKernel.h" -#include "src/core/CL/kernels/ICLDepthwiseConvolutionLayer3x3Kernel.h" +#include "src/runtime/heuristics/dwc_native/ClDWCNativeKernelConfig.h" +#include "src/runtime/heuristics/dwc_native/IClDWCNativeKernelConfig.h" namespace arm_compute { using namespace arm_compute::misc; using namespace arm_compute::misc::shape_calculator; +using namespace arm_compute::cl_dwc; -namespace -{ -Status validate_arguments_3x3(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, - unsigned int depth_multiplier, ActivationLayerInfo act_info, GPUTarget gpu_target, const Size2D &dilation) -{ - // This function should be removed and incorporated inside CLDepthwiseConvolutionLayerInternal3x3 once CLDepthwiseConvolutionLayer3x3 is properly removed - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON(input->data_layout() == DataLayout::UNKNOWN); - - const bool is_quantized = is_data_type_quantized_asymmetric(input->data_type()); - const bool is_nhwc = input->data_layout() == DataLayout::NHWC; - const bool needs_permute = is_nhwc && (depth_multiplier > 1); - const bool needs_weights_reshape = is_nhwc && (depth_multiplier == 1) && is_quantized; - const bool is_stride_1 = ((conv_info.stride().first == conv_info.stride().second) && (conv_info.stride().first == 1)); - const bool is_stride_1_dilation_1 = (is_stride_1 && dilation.x() == 1 && dilation.y() == 1); - const bool is_dot8_supported = dot8_supported(CLKernelLibrary::get().get_device()); - DepthwiseConvolutionReshapeInfo info; - info.c0 = 4; - info.transpose = is_stride_1_dilation_1 && is_dot8_supported; - - TensorInfo output_multipliers_shifts_info(TensorInfo(TensorShape(1U), 1, DataType::S32)); - if(is_quantized) - { - if(is_data_type_quantized_per_channel(weights->data_type())) - { - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(weights, 1, DataType::QSYMM8_PER_CHANNEL); - - const size_t idx_c = get_data_layout_dimension_index(weights->data_layout(), DataLayoutDimension::CHANNEL); - output_multipliers_shifts_info.set_tensor_shape(TensorShape(weights->dimension(idx_c))); - } - else - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights); - } - } - - if(needs_permute) - { - TensorShape permuted_input_shape = input->tensor_shape(); - TensorShape permuted_weights_shape = weights->tensor_shape(); - TensorShape permuted_output_shape = shape_calculator::compute_depthwise_convolution_shape(*input, *weights, conv_info, depth_multiplier, dilation); - - permute(permuted_input_shape, PermutationVector(1U, 2U, 0U)); - permute(permuted_weights_shape, PermutationVector(1U, 2U, 0U)); - permute(permuted_output_shape, PermutationVector(1U, 2U, 0U)); - - const TensorInfo permuted_input = input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(permuted_input_shape).set_data_layout(DataLayout::NCHW); - const TensorInfo permuted_weights = weights->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(permuted_weights_shape).set_data_layout(DataLayout::NCHW); - const TensorInfo permuted_output = output->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(permuted_output_shape).set_data_layout(DataLayout::NCHW); - - ARM_COMPUTE_RETURN_ON_ERROR(CLDepthwiseConvolutionLayer3x3NCHWKernel::validate(&permuted_input, &permuted_weights, biases, &permuted_output, - conv_info, depth_multiplier, act_info, gpu_target, - dilation, &output_multipliers_shifts_info, &output_multipliers_shifts_info)); - } - else if(is_nhwc) - { - if(needs_weights_reshape) - { - auto reshaped_weights_shape = arm_compute::misc::shape_calculator::compute_reshaped_depthwise_weights_shape(*weights, info); - ARM_COMPUTE_RETURN_ON_ERROR(CLDepthwiseConvolutionLayer3x3NHWCKernel::validate(input, &weights->clone()->set_tensor_shape(reshaped_weights_shape), biases, - output, conv_info, depth_multiplier, act_info, - dilation, &output_multipliers_shifts_info, &output_multipliers_shifts_info)); - } - else - { - ARM_COMPUTE_RETURN_ON_ERROR(CLDepthwiseConvolutionLayer3x3NHWCKernel::validate(input, weights, biases, output, conv_info, depth_multiplier, act_info, - dilation, &output_multipliers_shifts_info, &output_multipliers_shifts_info)); - } - } - else - { - ARM_COMPUTE_RETURN_ON_ERROR(CLDepthwiseConvolutionLayer3x3NCHWKernel::validate(input, weights, biases, output, conv_info, depth_multiplier, act_info, gpu_target, - dilation, &output_multipliers_shifts_info, &output_multipliers_shifts_info)); - } - return Status{}; -} -} // namespace - -CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::CLDepthwiseConvolutionLayerGeneric(std::shared_ptr<IMemoryManager> memory_manager) +CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager) : _memory_group(std::move(memory_manager)), _dwc_native_kernel(std::make_unique<CLDepthwiseConvolutionLayerNativeKernel>()), _permute_input_to_nhwc(), @@ -144,25 +63,34 @@ CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::CLDepthwiseConv CLDepthwiseConvolutionLayer::~CLDepthwiseConvolutionLayer() = default; -void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, - unsigned int depth_multiplier, const ActivationLayerInfo &act_info, const Size2D &dilation) +void CLDepthwiseConvolutionLayer::configure(ICLTensor *input, + const ICLTensor *weights, + const ICLTensor *biases, + ICLTensor *output, + const PadStrideInfo &conv_info, + unsigned int depth_multiplier, + ActivationLayerInfo act_info, + const Size2D &dilation) { - configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); + configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, depth_multiplier, + act_info, dilation); } -void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, - ICLTensor *output, const PadStrideInfo &conv_info, - unsigned int depth_multiplier, const ActivationLayerInfo &act_info, const Size2D &dilation) +void CLDepthwiseConvolutionLayer::configure(const CLCompileContext &compile_context, + ICLTensor *input, + const ICLTensor *weights, + const ICLTensor *biases, + ICLTensor *output, + const PadStrideInfo &conv_info, + unsigned int depth_multiplier, + ActivationLayerInfo act_info, + const Size2D &dilation) { - ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); - ARM_COMPUTE_ERROR_THROW_ON(CLDepthwiseConvolutionLayer::validate(input->info(), - weights->info(), - biases != nullptr ? biases->info() : nullptr, - output->info(), - conv_info, - depth_multiplier, - act_info, - dilation)); + ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights); + ARM_COMPUTE_ERROR_THROW_ON(CLDepthwiseConvolutionLayer::validate( + input->info(), weights->info(), biases != nullptr ? biases->info() : nullptr, + output != nullptr ? output->info() : input->info(), conv_info, depth_multiplier, act_info, dilation)); + ARM_COMPUTE_LOG_PARAMS(input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); _is_quantized = is_data_type_quantized(input->info()->data_type()); _is_prepared = false; @@ -171,10 +99,12 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::configure( _output = output; _needs_permute = input->info()->data_layout() == DataLayout::NCHW; + const GPUTarget gpu_target = CLScheduler::get().target(); + ICLTensor *input_to_use = input; const ICLTensor *weights_to_use = weights; ICLTensor *output_to_use = output; - if(_needs_permute) + if (_needs_permute) { _memory_group.manage(&_permuted_input); _memory_group.manage(&_permuted_output); @@ -197,10 +127,12 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::configure( CLTensor *output_multipliers_to_use = nullptr; CLTensor *output_shifts_to_use = nullptr; - if(_is_quantized) + if (_is_quantized) { - const size_t idx_c = get_data_layout_dimension_index(weights->info()->data_layout(), DataLayoutDimension::CHANNEL); - const size_t num_filters = (is_data_type_quantized_per_channel(weights->info()->data_type())) ? weights->info()->dimension(idx_c) : 1; + const size_t idx_c = + get_data_layout_dimension_index(weights->info()->data_layout(), DataLayoutDimension::CHANNEL); + const size_t num_filters = + (is_data_type_quantized_per_channel(weights->info()->data_type())) ? weights->info()->dimension(idx_c) : 1; _output_multipliers.allocator()->init(TensorInfo(TensorShape(num_filters), 1, DataType::S32)); _output_shifts.allocator()->init(TensorInfo(TensorShape(num_filters), 1, DataType::S32)); @@ -209,15 +141,19 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::configure( output_shifts_to_use = &_output_shifts; } - DWCWeightsKernelInfo dwc_weights_info; - dwc_weights_info.n0 = (depth_multiplier == 1) ? 8 : 1; - DWCKernelInfo dwc_info; - dwc_info.activation_info = act_info; + // Get the depthwise convolution compute parameters + auto t = ClDWCNativeKernelConfigurationFactory::create(gpu_target); + const DWCComputeKernelInfo dwc_native_compute_info = + t->configure(input_to_use->info(), weights_to_use->info(), conv_info, dilation, depth_multiplier); + + const ConvolutionInfo conv_kernel_info{conv_info, depth_multiplier, act_info, dilation}; + + _dwc_native_kernel->set_target(gpu_target); _dwc_native_kernel->configure(compile_context, input_to_use, weights_to_use, biases, output_to_use, - dwc_weights_info, dwc_info, conv_info, depth_multiplier, dilation, - output_multipliers_to_use, output_shifts_to_use); + dwc_native_compute_info, conv_kernel_info, output_multipliers_to_use, + output_shifts_to_use); - if(_needs_permute) + if (_needs_permute) { _permuted_input.allocator()->allocate(); @@ -227,37 +163,51 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::configure( _permuted_output.allocator()->allocate(); } - if(_is_quantized) + if (_is_quantized) { _output_multipliers.allocator()->allocate(); _output_shifts.allocator()->allocate(); } } -Status CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, - const PadStrideInfo &conv_info, - unsigned int depth_multiplier, const ActivationLayerInfo &act_info, const Size2D &dilation) +Status CLDepthwiseConvolutionLayer::validate(const ITensorInfo *input, + const ITensorInfo *weights, + const ITensorInfo *biases, + const ITensorInfo *output, + const PadStrideInfo &conv_info, + unsigned int depth_multiplier, + ActivationLayerInfo act_info, + const Size2D &dilation) { + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(!weights->are_values_constant(), "Dynamic weights are not supported"); + + const bool in_place = input == output || output == nullptr; + if (in_place) + { + output = input; + } ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); const size_t idx_w = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::WIDTH); const size_t idx_h = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::HEIGHT); - ARM_COMPUTE_RETURN_ERROR_ON(weights->dimension(idx_w) + (weights->dimension(idx_w) - 1) * (dilation.x() - 1) > input->dimension(idx_w) + conv_info.pad_left() + conv_info.pad_right()); - ARM_COMPUTE_RETURN_ERROR_ON(weights->dimension(idx_h) + (weights->dimension(idx_h) - 1) * (dilation.y() - 1) > input->dimension(idx_h) + conv_info.pad_top() + conv_info.pad_bottom()); + ARM_COMPUTE_RETURN_ERROR_ON(weights->dimension(idx_w) + (weights->dimension(idx_w) - 1) * (dilation.x() - 1) > + input->dimension(idx_w) + conv_info.pad_left() + conv_info.pad_right()); + ARM_COMPUTE_RETURN_ERROR_ON(weights->dimension(idx_h) + (weights->dimension(idx_h) - 1) * (dilation.y() - 1) > + input->dimension(idx_h) + conv_info.pad_top() + conv_info.pad_bottom()); - DWCWeightsKernelInfo dwc_weights_info; - dwc_weights_info.n0 = (depth_multiplier == 1) ? 8 : 1; - DWCKernelInfo dwc_info; - dwc_info.activation_info = act_info; + const GPUTarget gpu_target = CLScheduler::get().target(); + + const ConvolutionInfo conv_kernel_info{conv_info, depth_multiplier, act_info, dilation}; const bool needs_permute = input->data_layout() == DataLayout::NCHW; const bool is_quantized = is_data_type_quantized(input->data_type()); TensorInfo output_multipliers_shifts_info(TensorInfo(TensorShape(1U), 1, DataType::S32)); - if(is_quantized) + if (is_quantized) { - if(is_data_type_quantized_per_channel(weights->data_type())) + if (is_data_type_quantized_per_channel(weights->data_type())) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(weights, 1, DataType::QSYMM8_PER_CHANNEL); @@ -270,72 +220,95 @@ Status CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::validate } } - if(needs_permute) + if (needs_permute) { - TensorShape permuted_input_shape = input->tensor_shape(); - TensorShape permuted_weights_shape = weights->tensor_shape(); - TensorShape permuted_output_shape = shape_calculator::compute_depthwise_convolution_shape(*input, *weights, conv_info, depth_multiplier, dilation); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(in_place, "In-place is supported only with NHWC data layout"); + TensorShape permuted_input_shape = input->tensor_shape(); + TensorShape permuted_weights_shape = weights->tensor_shape(); + const ConvolutionInfo info{conv_info, depth_multiplier, ActivationLayerInfo(), dilation}; + TensorShape permuted_output_shape = + shape_calculator::compute_depthwise_convolution_shape(*input, *weights, info); permute(permuted_input_shape, PermutationVector(2U, 0U, 1U)); permute(permuted_weights_shape, PermutationVector(2U, 0U, 1U)); permute(permuted_output_shape, PermutationVector(2U, 0U, 1U)); - const TensorInfo permuted_input = input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(permuted_input_shape).set_data_layout(DataLayout::NHWC); - const TensorInfo permuted_weights = weights->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(permuted_weights_shape).set_data_layout(DataLayout::NHWC); - const TensorInfo permuted_output = output->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(permuted_output_shape).set_data_layout(DataLayout::NHWC); + const TensorInfo permuted_input = input->clone() + ->set_is_resizable(true) + .reset_padding() + .set_tensor_shape(permuted_input_shape) + .set_data_layout(DataLayout::NHWC); + const TensorInfo permuted_weights = weights->clone() + ->set_is_resizable(true) + .reset_padding() + .set_tensor_shape(permuted_weights_shape) + .set_data_layout(DataLayout::NHWC); + const TensorInfo permuted_output = output->clone() + ->set_is_resizable(true) + .reset_padding() + .set_tensor_shape(permuted_output_shape) + .set_data_layout(DataLayout::NHWC); ARM_COMPUTE_RETURN_ON_ERROR(CLPermute::validate(input, &permuted_input, PermutationVector(2U, 0U, 1U))); ARM_COMPUTE_RETURN_ON_ERROR(CLPermute::validate(weights, &permuted_weights, PermutationVector(2U, 0U, 1U))); - ARM_COMPUTE_RETURN_ON_ERROR(CLDepthwiseConvolutionLayerNativeKernel::validate(&permuted_input, &permuted_weights, biases, &permuted_output, dwc_weights_info, - dwc_info, conv_info, depth_multiplier, dilation, - &output_multipliers_shifts_info, &output_multipliers_shifts_info)); + + // Get the depthwise convolution compute parameters + auto t = ClDWCNativeKernelConfigurationFactory::create(gpu_target); + const DWCComputeKernelInfo dwc_native_compute_info = + t->configure(&permuted_input, &permuted_weights, conv_info, dilation, depth_multiplier); + + ARM_COMPUTE_RETURN_ON_ERROR(CLDepthwiseConvolutionLayerNativeKernel::validate( + &permuted_input, &permuted_weights, biases, &permuted_output, dwc_native_compute_info, conv_kernel_info, + &output_multipliers_shifts_info, &output_multipliers_shifts_info)); ARM_COMPUTE_RETURN_ON_ERROR(CLPermute::validate(&permuted_output, output, PermutationVector(1U, 2U, 0U))); } else { - ARM_COMPUTE_RETURN_ON_ERROR(CLDepthwiseConvolutionLayerNativeKernel::validate(input, weights, biases, output, dwc_weights_info, dwc_info, conv_info, depth_multiplier, - dilation, &output_multipliers_shifts_info, &output_multipliers_shifts_info)); + // Get the depthwise convolution compute parameters + auto t = ClDWCNativeKernelConfigurationFactory::create(gpu_target); + const DWCComputeKernelInfo dwc_native_compute_info = + t->configure(input, weights, conv_info, dilation, depth_multiplier); + ARM_COMPUTE_RETURN_ON_ERROR(CLDepthwiseConvolutionLayerNativeKernel::validate( + input, weights, biases, output, dwc_native_compute_info, conv_kernel_info, &output_multipliers_shifts_info, + &output_multipliers_shifts_info)); } return Status{}; } -void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::run() +void CLDepthwiseConvolutionLayer::run() { prepare(); MemoryGroupResourceScope scope_mg(_memory_group); - if(_needs_permute) + if (_needs_permute) { _permute_input_to_nhwc.run(); } CLScheduler::get().enqueue(*_dwc_native_kernel); - if(_needs_permute) + if (_needs_permute) { _permute_output_to_nchw.run(); } } -void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::prepare() +void CLDepthwiseConvolutionLayer::prepare() { - if(!_is_prepared) + if (!_is_prepared) { - if(_is_quantized) + if (_is_quantized) { _output_multipliers.map(); _output_shifts.map(); - const unsigned int idx_ofms = get_data_layout_dimension_index(_output->info()->data_layout(), DataLayoutDimension::CHANNEL); - quantization::compute_quantized_multipliers_and_shifts(_input->info(), - _original_weights->info(), - _output->info(), - idx_ofms, - reinterpret_cast<int32_t *>(_output_multipliers.ptr_to_element(Coordinates(0))), - reinterpret_cast<int32_t *>(_output_shifts.ptr_to_element(Coordinates(0)))); + quantization::compute_quantized_multipliers_and_shifts( + _input->info(), _original_weights->info(), _output != nullptr ? _output->info() : _input->info(), + reinterpret_cast<int32_t *>(_output_multipliers.ptr_to_element(Coordinates(0))), + reinterpret_cast<int32_t *>(_output_shifts.ptr_to_element(Coordinates(0)))); _output_multipliers.unmap(); _output_shifts.unmap(); } - if(_needs_permute) + if (_needs_permute) { ARM_COMPUTE_ERROR_ON(!_original_weights->is_used()); @@ -346,315 +319,4 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::prepare() _is_prepared = true; } } - -CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::CLDepthwiseConvolutionLayerInternal3x3(std::shared_ptr<IMemoryManager> memory_manager) - : _memory_group(std::move(memory_manager)), - _kernel(nullptr), - _border_handler(std::make_unique<CLFillBorderKernel>()), - _permute_input_to_nchw(), - _permute_weights_to_nchw(), - _permute_output_to_nhwc(), - _reshape_weights(std::make_unique<CLDepthwiseConvolutionLayerReshapeWeightsKernel>()), - _permuted_input(), - _permuted_weights(), - _permuted_output(), - _output_multipliers(), - _output_shifts(), - _original_weights(nullptr), - _input(nullptr), - _output(nullptr), - _needs_permute(false), - _needs_weights_reshape(false), - _is_prepared(false), - _is_quantized(false) -{ -} - -void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, - const PadStrideInfo &conv_info, unsigned int depth_multiplier, ActivationLayerInfo act_info, const Size2D &dilation) -{ - configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); -} - -void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, - ICLTensor *output, - const PadStrideInfo &conv_info, unsigned int depth_multiplier, ActivationLayerInfo act_info, const Size2D &dilation) -{ - const GPUTarget gpu_target = CLScheduler::get().target(); - - // Perform validation step - ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); - ARM_COMPUTE_ERROR_THROW_ON(CLDepthwiseConvolutionLayerInternal3x3::validate(input->info(), - weights->info(), - biases != nullptr ? biases->info() : nullptr, - output->info(), - conv_info, - depth_multiplier, - act_info, - gpu_target, - dilation)); - - const bool is_nhwc = input->info()->data_layout() == DataLayout::NHWC; - _is_quantized = is_data_type_quantized_asymmetric(input->info()->data_type()); - _needs_permute = is_nhwc && (depth_multiplier > 1); - _needs_weights_reshape = is_nhwc && (depth_multiplier == 1) && _is_quantized; - - _is_prepared = false; - _original_weights = weights; - _input = input; - _output = output; - - ICLTensor *input_to_use = input; - const ICLTensor *weights_to_use = weights; - ICLTensor *output_to_use = output; - - const bool is_quantized_per_channel = is_data_type_quantized_per_channel(weights->info()->data_type()); - const bool is_stride_1 = ((conv_info.stride().first == conv_info.stride().second) && (conv_info.stride().first == 1)); - const bool is_dot8_supported = dot8_supported(CLKernelLibrary::get().get_device()) && !is_quantized_per_channel; - const bool is_stride_1_dilation_1 = (is_stride_1 && dilation.x() == 1 && dilation.y() == 1); - - DepthwiseConvolutionReshapeInfo info; - info.c0 = 4; - info.transpose = is_stride_1_dilation_1 && is_dot8_supported; - - if(_needs_permute) - { - _memory_group.manage(&_permuted_input); - _memory_group.manage(&_permuted_output); - - // Configure the function to transform the input tensor from NHWC -> NCHW - _permute_input_to_nchw.configure(compile_context, input, &_permuted_input, PermutationVector(1U, 2U, 0U)); - _permuted_input.info()->set_data_layout(DataLayout::NCHW); - - // Configure the function to transform the weights tensor from HWI -> IHW - _permute_weights_to_nchw.configure(compile_context, weights, &_permuted_weights, PermutationVector(1U, 2U, 0U)); - _permuted_weights.info()->set_data_layout(DataLayout::NCHW); - _permuted_output.info()->set_quantization_info(output->info()->quantization_info()); - - input_to_use = &_permuted_input; - weights_to_use = &_permuted_weights; - output_to_use = &_permuted_output; - - _kernel = std::make_unique<CLDepthwiseConvolutionLayer3x3NCHWKernel>(); - } - else if(is_nhwc) - { - if(_needs_weights_reshape) - { - _reshape_weights->configure(compile_context, weights, &_permuted_weights, info); - weights_to_use = &_permuted_weights; - } - _kernel = std::make_unique<CLDepthwiseConvolutionLayer3x3NHWCKernel>(); - } - else - { - _kernel = std::make_unique<CLDepthwiseConvolutionLayer3x3NCHWKernel>(); - } - - CLTensor *output_multipliers_to_use = nullptr; - CLTensor *output_shifts_to_use = nullptr; - if(_is_quantized) - { - const size_t idx_c = get_data_layout_dimension_index(weights->info()->data_layout(), DataLayoutDimension::CHANNEL); - const size_t num_filters = (is_quantized_per_channel) ? weights->info()->dimension(idx_c) : 1; - - _output_multipliers.allocator()->init(TensorInfo(TensorShape(num_filters), 1, DataType::S32)); - _output_shifts.allocator()->init(TensorInfo(TensorShape(num_filters), 1, DataType::S32)); - - output_multipliers_to_use = &_output_multipliers; - output_shifts_to_use = &_output_shifts; - } - - // Configure kernel - _kernel->set_target(gpu_target); - _kernel->configure(compile_context, input_to_use, weights_to_use, biases, output_to_use, conv_info, depth_multiplier, - act_info, dilation, output_multipliers_to_use, output_shifts_to_use); - - if(_is_quantized) - { - _output_multipliers.allocator()->allocate(); - _output_shifts.allocator()->allocate(); - } - - // Permute output if needed - if(_needs_permute) - { - // Configure the function to transform the convoluted output to ACL's native ordering format NCHW - _permuted_output.info()->set_data_layout(DataLayout::NCHW); - _permute_output_to_nhwc.configure(compile_context, &_permuted_output, output, PermutationVector(2U, 0U, 1U)); - - // Allocate tensors - _permuted_input.allocator()->allocate(); - _permuted_output.allocator()->allocate(); - } - // Configure border handler - PixelValue &&zero_value(0.f); - if(is_data_type_quantized_asymmetric(input->info()->data_type())) - { - zero_value = PixelValue(static_cast<uint8_t>(input->info()->quantization_info().uniform().offset)); - } - _border_handler->configure(compile_context, input_to_use, _kernel->border_size(), BorderMode::CONSTANT, zero_value); -} - -Status CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, - const PadStrideInfo &conv_info, unsigned int depth_multiplier, ActivationLayerInfo act_info, GPUTarget gpu_target, const Size2D &dilation) -{ - return validate_arguments_3x3(input, weights, biases, output, conv_info, depth_multiplier, act_info, gpu_target, dilation); -} - -void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::run() -{ - prepare(); - - MemoryGroupResourceScope scope_mg(_memory_group); - - if(_needs_permute) - { - _permute_input_to_nchw.run(); - } - CLScheduler::get().enqueue(*_border_handler); - CLScheduler::get().enqueue(*_kernel); - - if(_needs_permute) - { - _permute_output_to_nhwc.run(); - } -} - -void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::prepare() -{ - if(!_is_prepared) - { - if(_is_quantized) - { - _output_multipliers.map(); - _output_shifts.map(); - const unsigned int idx_ofms = get_data_layout_dimension_index(_output->info()->data_layout(), DataLayoutDimension::CHANNEL); - quantization::compute_quantized_multipliers_and_shifts(_input->info(), - _original_weights->info(), - _output->info(), - idx_ofms, - reinterpret_cast<int32_t *>(_output_multipliers.ptr_to_element(Coordinates(0))), - reinterpret_cast<int32_t *>(_output_shifts.ptr_to_element(Coordinates(0)))); - _output_multipliers.unmap(); - _output_shifts.unmap(); - } - - if(_needs_permute) - { - ARM_COMPUTE_ERROR_ON(!_original_weights->is_used()); - - _permuted_weights.allocator()->allocate(); - _permute_weights_to_nchw.run(); - _original_weights->mark_as_unused(); - } - - if(_needs_weights_reshape) - { - ARM_COMPUTE_ERROR_ON(_needs_permute); - ARM_COMPUTE_ERROR_ON(!_original_weights->is_used()); - _permuted_weights.allocator()->allocate(); - CLScheduler::get().enqueue(*_reshape_weights); - _original_weights->mark_as_unused(); - } - _is_prepared = true; - } -} - -CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager) - : _memory_manager(std::move(memory_manager)), _depth_conv_func(DepthwiseConvolutionFunction::GENERIC), _func_3x3(), _func_generic() -{ -} - -void CLDepthwiseConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, - ActivationLayerInfo act_info, const Size2D &dilation) -{ - configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); -} - -void CLDepthwiseConvolutionLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, - const PadStrideInfo &conv_info, - unsigned int depth_multiplier, - ActivationLayerInfo act_info, const Size2D &dilation) -{ - const GPUTarget gpu_target = CLScheduler::get().target(); - _depth_conv_func = get_depthwiseconvolution_function(input->info(), weights->info(), (biases != nullptr) ? biases->info() : nullptr, output->info(), conv_info, depth_multiplier, act_info, - dilation, gpu_target); - switch(_depth_conv_func) - { - case DepthwiseConvolutionFunction::OPTIMIZED: - _func_3x3.set_memory_group(_memory_manager); - _func_3x3.configure(compile_context, input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); - break; - case DepthwiseConvolutionFunction::GENERIC: - { - _func_generic.set_memory_group(_memory_manager); - _func_generic.configure(compile_context, input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); - } - break; - default: - ARM_COMPUTE_ERROR("Unsupported DepthwiseConvolutionFunction"); - } -} - -Status CLDepthwiseConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, - unsigned int depth_multiplier, ActivationLayerInfo act_info, const Size2D &dilation) -{ - const GPUTarget gpu_target = CLScheduler::get().target(); - DepthwiseConvolutionFunction depth_conv_func = get_depthwiseconvolution_function(input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation, gpu_target); - switch(depth_conv_func) - { - case DepthwiseConvolutionFunction::OPTIMIZED: - return CLDepthwiseConvolutionLayerInternal3x3::validate(input, weights, biases, output, conv_info, depth_multiplier, act_info, gpu_target, dilation); - case DepthwiseConvolutionFunction::GENERIC: - return CLDepthwiseConvolutionLayerGeneric::validate(input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); - default: - ARM_COMPUTE_ERROR("Unsupported DepthwiseConvolutionFunction"); - } -} - -DepthwiseConvolutionFunction CLDepthwiseConvolutionLayer::get_depthwiseconvolution_function(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, - const PadStrideInfo &conv_info, - unsigned int depth_multiplier, ActivationLayerInfo act_info, const Size2D &dilation, GPUTarget gpu_target) -{ - if(bool(CLDepthwiseConvolutionLayerInternal3x3::validate(input, weights, biases, output, conv_info, depth_multiplier, act_info, gpu_target, dilation)) && (is_data_type_float(input->data_type()) - || get_arch_from_target(gpu_target) == GPUTarget::MIDGARD)) - { - return DepthwiseConvolutionFunction::OPTIMIZED; - } - else - { - return DepthwiseConvolutionFunction::GENERIC; - } -} - -void CLDepthwiseConvolutionLayer::run() -{ - switch(_depth_conv_func) - { - case DepthwiseConvolutionFunction::OPTIMIZED: - _func_3x3.run(); - break; - case DepthwiseConvolutionFunction::GENERIC: - _func_generic.run(); - break; - default: - ARM_COMPUTE_ERROR("DepthwiseConvolutionFunction not properly configured"); - } -} - -void CLDepthwiseConvolutionLayer::prepare() -{ - switch(_depth_conv_func) - { - case DepthwiseConvolutionFunction::OPTIMIZED: - _func_3x3.prepare(); - break; - case DepthwiseConvolutionFunction::GENERIC: - _func_generic.prepare(); - break; - default: - ARM_COMPUTE_ERROR("DepthwiseConvolutionFunction not properly configured"); - } -} } // namespace arm_compute |