diff options
14 files changed, 518 insertions, 59 deletions
diff --git a/Android.bp b/Android.bp index 871dacf321..b8a4fcd590 100644 --- a/Android.bp +++ b/Android.bp @@ -647,6 +647,7 @@ cc_library_static { "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwCast.cpp", "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwDirectConv2d.cpp", "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwElementwiseBinary.cpp", + "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwPool2d.cpp", "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwResize.cpp", "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwStore.cpp", "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentActivation.cpp", diff --git a/arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h b/arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h index 6e1bcdbbfd..65a092c0a2 100644 --- a/arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h +++ b/arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h @@ -21,8 +21,8 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#ifndef ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_OPERATORS_GPUPOOL2D -#define ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_OPERATORS_GPUPOOL2D +#ifndef ACL_ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_OPERATORS_GPUPOOL2D_H +#define ACL_ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_OPERATORS_GPUPOOL2D_H #include "arm_compute/core/Error.h" #include "arm_compute/dynamic_fusion/sketch/attributes/Pool2dAttributes.h" @@ -83,27 +83,22 @@ public: * * @param[in,out] sketch Workload sketch into which the operator will be fused * @param[in] src Source tensor - * @param[out] dst Destination tensor * @param[in] attributes Operator attributes * @param[in] settings Operator settings */ - static void create_op(GpuWorkloadSketch &sketch, - ITensorInfo *src, - ITensorInfo *dst, - const Attributes &attributes, - const Settings &settings); + static ITensorInfo *create_op(GpuWorkloadSketch &sketch, + ITensorInfo *src, + const Attributes &attributes, + const Settings &settings); /** Check if the operator configuration is supported, irrespective of fusion * - * @param[in] context Workload context within which the operator is running - * @param[in] src Left hand side tensor info. Data types supported: F16/F32. - * @param[out] dst Destination tensor info. Data types supported: F16/F32. - * If an uninitialized ITensorInfo is passed in, it will be auto-initialized - * @param[in] attributes Operator attributes - * @param[in] settings Operator settings + * @param[in] context Workload context within which the operator is running + * @param[in] src Left hand side tensor info. Data types supported: F16/F32. + * @param[in] attributes Operator attributes + * @param[in] settings Operator settings */ static Status is_supported_op(const GpuWorkloadContext &context, const ITensorInfo *src, - const ITensorInfo *dst, const Attributes &attributes, const Settings &settings); /** Validate the operator and check if it can be fused into the workload sketch. @@ -111,11 +106,10 @@ public: */ static Status validate_op(const GpuWorkloadSketch &sketch, const ITensorInfo *src, - const ITensorInfo *dst, const Attributes &attributes, const Settings &settings); }; } // namespace dynamic_fusion } // namespace experimental } // namespace arm_compute -#endif /* ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_OPERATORS_GPUPOOL2D */ +#endif // ACL_ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_GPU_OPERATORS_GPUPOOL2D_H diff --git a/compute_kernel_writer/prototype/include/ckw/types/Operators.h b/compute_kernel_writer/prototype/include/ckw/types/Operators.h index 14a88c91b4..43241170a5 100644 --- a/compute_kernel_writer/prototype/include/ckw/types/Operators.h +++ b/compute_kernel_writer/prototype/include/ckw/types/Operators.h @@ -34,6 +34,7 @@ enum class UnaryOp : int32_t { LogicalNot = 0x0000, // ! BitwiseNot = 0x0001, // ~ + Negate = 0x0002, // - }; /* Binary operations diff --git a/compute_kernel_writer/prototype/src/Prototype.h b/compute_kernel_writer/prototype/src/Prototype.h index 88d6e898e4..eb9d7198a9 100644 --- a/compute_kernel_writer/prototype/src/Prototype.h +++ b/compute_kernel_writer/prototype/src/Prototype.h @@ -1583,6 +1583,8 @@ inline std::string to_string(UnaryOp op) return "!"; case UnaryOp::BitwiseNot: return "~"; + case UnaryOp::Negate: + return "-"; default: assert(false); return ""; diff --git a/compute_kernel_writer/prototype/src/TileOperand.cpp b/compute_kernel_writer/prototype/src/TileOperand.cpp index bf6a15b9df..0eb2ca6a64 100644 --- a/compute_kernel_writer/prototype/src/TileOperand.cpp +++ b/compute_kernel_writer/prototype/src/TileOperand.cpp @@ -85,6 +85,9 @@ prototype::Operand TileOperand::create_impl_operand(prototype::IGpuKernelWriter case DataType::Fp32: return prototype::Operand(_value[0][0], prototype::OperandType::ScalarFp32); + case DataType::Fp16: + return prototype::Operand(_value[0][0], prototype::OperandType::ScalarFp16); + default: CKW_ASSERT(false); } diff --git a/docs/user_guide/release_version_and_change_log.dox b/docs/user_guide/release_version_and_change_log.dox index 3cb1ac4835..04ee10b9f4 100644 --- a/docs/user_guide/release_version_and_change_log.dox +++ b/docs/user_guide/release_version_and_change_log.dox @@ -50,6 +50,8 @@ v23.11 Public major release - Update OpenCL™ API headers to v2023.04.17. - Performance optimizations: - Optimize @ref cpu::CpuReshape + - Port the following kernels in the experimental Dynamic Fusion interface to use the new Compute Kernel Writer interface with support for FP16/FP32 only: + - @ref experimental::dynamic_fusion::GpuCkwPool2d v23.08 Public major release - Deprecate the legacy 'libarm_compute_core' library. This library is an artifact of Compute Library's legacy library architecture and no longer serves any purpose. diff --git a/filelist.json b/filelist.json index 22d5cba50b..668feb92cf 100644 --- a/filelist.json +++ b/filelist.json @@ -2353,6 +2353,7 @@ "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwCast.cpp", "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwDirectConv2d.cpp", "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwElementwiseBinary.cpp", + "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwPool2d.cpp", "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwResize.cpp", "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwStore.cpp", "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwKernelWriter.cpp", diff --git a/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwPool2d.cpp b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwPool2d.cpp new file mode 100644 index 0000000000..9c9a298132 --- /dev/null +++ b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwPool2d.cpp @@ -0,0 +1,345 @@ +/* + * Copyright (c) 2023 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/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwPool2d.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/utils/helpers/AdjustVecSize.h" +#include "ckw/TensorTileSampler.h" +#include "src/core/helpers/WindowHelpers.h" +#include "src/dynamic_fusion/sketch/gpu/GpuKernelArgument.h" +#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h" +#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwKernelWriter.h" +#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwScopedKernelWriter.h" +#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwVariableTable.h" +#include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/WriterHelper.h" +#include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/type_converter/Common.h" + +using namespace ckw; + +namespace arm_compute +{ +namespace experimental +{ +namespace dynamic_fusion +{ +GpuCkwPool2d::GpuCkwPool2d(ComponentId id, + const ArgumentPack<ITensorInfo> &tensors, + const Attributes &attributes, + const Settings &settings) + : IGpuCkwComponentDriver{ id, tensors }, + _src{}, + _dst{}, + _attributes{ attributes }, + _settings{ settings } + +{ + _src = this->tensors().get_const_tensor(TensorType::ACL_SRC_0); + _dst = this->tensors().get_const_tensor(TensorType::ACL_DST_0); + ARM_COMPUTE_ERROR_ON_NULLPTR(_src, _dst); +} + +void GpuCkwPool2d::write_component_code(const ComponentGroup &comp_group, GpuCkwVariableTable &vtable, GpuCkwScopedKernelWriter writer) const +{ + const auto root_window = comp_group.get_root_component()->ckw_component_driver()->get_window(); + const unsigned int n0 = root_window.x().step(); + const unsigned int m0 = root_window.y().step(); + + GpuCkwComponentArgument *src = vtable.declare_variable(comp_group, writer, _src, TensorStorageType::ClBufferUint8Ptr, "src"); + GpuCkwComponentArgument *dst = vtable.declare_variable(comp_group, writer, _dst, TensorStorageType::ClBufferUint8Ptr, "dst"); + + TileOperand &gid_0 = writer->declare_tile("gid_0", ckw::DataType::Int32); + TileOperand &gid_1 = writer->declare_tile("gid_1", ckw::DataType::Int32); + TileOperand &gid_2 = writer->declare_tile("gid_2", ckw::DataType::Int32); + + writer->op_get_global_id(gid_0, 0); + writer->op_get_global_id(gid_1, 1); + writer->op_get_global_id(gid_2, 2); + + // Data Layout is NHWC + constexpr int width_idx = 1; + constexpr int height_idx = 2; + + const int32_t pool_size_x = static_cast<int32_t>(_attributes.pool_size().x()); + const int32_t pool_size_y = static_cast<int32_t>(_attributes.pool_size().y()); + const int32_t pad_x = static_cast<int32_t>(_attributes.pad().left); + const int32_t pad_y = static_cast<int32_t>(_attributes.pad().top); + const int32_t src_width = static_cast<int32_t>(_src->dimension(width_idx)); + const int32_t src_height = static_cast<int32_t>(_src->dimension(height_idx)); + const auto src_data_type = _src->data_type(); + + // Check if this is global pooling path + const bool is_global_pooling = (pool_size_x == src_width) && (pool_size_y == src_height) && (pad_x == 0) && (pad_y == 0); + // Check if this a case of FP_MIXED_PRECISION + const bool use_fp_mixed_precision = (src_data_type == DataType::F16) && _settings.mixed_precision() && _attributes.pool_type() != PoolingType::MAX; + const auto acc_data_type = (use_fp_mixed_precision) ? (DataType::F32) : (src_data_type); + + TileOperand &const_0 = writer->declare_tile("0", 0); + const TileOperand &const_1 = writer->declare_tile("1", 1); + const TileOperand &const_lowest_value = writer->declare_tile("LOWEST_VALUE", std::numeric_limits<float>::lowest()); + const TileOperand &pool_size_x_tile = writer->declare_tile("POOL_SIZE_X", pool_size_x); + const TileOperand &pool_size_y_tile = writer->declare_tile("POOL_SIZE_Y", pool_size_y); + const TileOperand &stride_x_tile = writer->declare_tile("STRIDE_X", static_cast<int32_t>(_attributes.stride().x())); + const TileOperand &stride_y_tile = writer->declare_tile("STRIDE_Y", static_cast<int32_t>(_attributes.stride().y())); + const TileOperand &pad_x_tile = writer->declare_tile("PAD_X", pad_x); + const TileOperand &pad_y_tile = writer->declare_tile("PAD_Y", pad_y); + const TileOperand &dst_height_tile = writer->declare_tile("DST_HEIGHT", static_cast<int32_t>(_dst->dimension(height_idx))); + const TileOperand &src_height_tile = writer->declare_tile("SRC_HEIGHT", src_height); + const TileOperand &src_width_tile = writer->declare_tile("SRC_WIDTH", src_width); + + TileOperand &idx_out_n = writer->declare_tile("idx_out_n", ckw::DataType::Int32); + TileOperand &idx_out_h = writer->declare_tile("idx_out_h", ckw::DataType::Int32); + TileOperand &idx_out_w = writer->declare_tile("idx_out_w", ckw::DataType::Int32); + TileOperand &idx_out_c = writer->declare_tile("idx_out_c", ckw::DataType::Int32); + + const int32_t dst_partial_n0_v = _dst->tensor_shape()[0] % n0; + + get_coord(writer, idx_out_c, gid_0, n0, dst_partial_n0_v, "dst_x_", const_0); + get_coord(writer, idx_out_w, gid_1, 1, 0, "dst_y_", const_0); + + writer->op_binary_expression(idx_out_h, gid_2, BinaryOp::Mod, dst_height_tile); // gid_2 % h + writer->op_binary_expression(idx_out_n, gid_2, BinaryOp::Div, dst_height_tile); // gid_2 / h + + TensorTileSampler src_sampler; + src_sampler.width(n0); + src_sampler.height(m0); + src_sampler.format(TensorSamplerFormat::C_W_H); + src_sampler.address_mode_x(TensorSamplerAddressModeX::None); + src_sampler.address_mode_y(TensorSamplerAddressModeY::None); + src_sampler.address_mode_z(TensorSamplerAddressModeZ::None); + src_sampler.x(idx_out_c); + src_sampler.b(idx_out_n); + + TensorTileSampler dst_sampler; + dst_sampler.width(n0); + dst_sampler.height(m0); + dst_sampler.format(TensorSamplerFormat::C_W_H); + dst_sampler.address_mode_x(TensorSamplerAddressModeX::OverlappingMin); + dst_sampler.address_mode_y(TensorSamplerAddressModeY::None); + dst_sampler.address_mode_z(TensorSamplerAddressModeZ::None); + dst_sampler.x(idx_out_c); + dst_sampler.y(idx_out_w); + dst_sampler.z(idx_out_h); + dst_sampler.b(idx_out_n); + + // Prepare dst tensor and tile + TileInfo dst_tile_info = TileInfo(to_ckw(src_data_type), m0, n0); + if(!dst->has_tile()) + { + TileOperand &dst_tile = writer->declare_tile("dst_tile", dst_tile_info); + dst->init_virtual_tensor(dst_tile, dst_sampler); + } + const TileOperand &dst_tile = dst->tile(); + + // A tile used to temporarily store results or as an accumulator in case of AVG and L2 pooling. + const TileOperand &res_tile = writer->declare_tile("res_tile", TileInfo(to_ckw(acc_data_type), m0, n0)); + + // Initialise result tile with appropriate value + if(_attributes.pool_type() == PoolingType::MAX) + { + if(_settings.use_inf_as_limit()) + { + TileContainer minus_inf_tile_container; + std::vector<std::string> value = std::vector<std::string>(n0, "(-INFINITY)"); + minus_inf_tile_container.push_back({ value }); + const TileOperand &minus_inf = writer->declare_tile("minus_inf_const", minus_inf_tile_container, to_ckw(acc_data_type)); + writer->op_assign(res_tile, minus_inf); + } + else + { + writer->op_assign(res_tile, const_lowest_value); + } + } + else + { + writer->op_assign(res_tile, const_0); + } + + // idx_in_w = idx_out_w * STRIDE_X - PAD_X + TileOperand &idx_in_w = writer->declare_tile("idx_in_w", ckw::DataType::Int32); + writer->op_binary_expression(idx_in_w, idx_out_w, BinaryOp::Mul, stride_x_tile); + writer->op_binary_expression(idx_in_w, idx_in_w, BinaryOp::Sub, pad_x_tile); + + // idx_in_h = idx_out_h * STRIDE_Y - PAD_Y + TileOperand &idx_in_h = writer->declare_tile("idx_in_h", ckw::DataType::Int32); + writer->op_binary_expression(idx_in_h, idx_out_h, BinaryOp::Mul, stride_y_tile); + writer->op_binary_expression(idx_in_h, idx_in_h, BinaryOp::Sub, pad_y_tile); + + TileOperand &minus_idx_in_w = writer->declare_tile("minus_idx_in_w", ckw::DataType::Int32); + TileOperand &minus_idx_in_h = writer->declare_tile("minus_idx_in_h", ckw::DataType::Int32); + + writer->op_unary_expression(minus_idx_in_w, UnaryOp::Negate, idx_in_w); + writer->op_unary_expression(minus_idx_in_h, UnaryOp::Negate, idx_in_h); + + // Pooling starting/ending offsets for X dim + TileOperand &pool_x_s = writer->declare_tile("pool_x_s", ckw::DataType::Int32); + TileOperand &pool_x_e = writer->declare_tile("pool_x_e", ckw::DataType::Int32); + + writer->op_binary_elementwise_function(pool_x_s, BinaryFunction::Max, const_0, minus_idx_in_w); + writer->op_binary_expression(pool_x_e, src_width_tile, BinaryOp::Add, minus_idx_in_w); + writer->op_binary_elementwise_function(pool_x_e, BinaryFunction::Min, pool_size_x_tile, pool_x_e); + + // Pooling starting/ending offsets for Y dim + TileOperand &pool_y_s = writer->declare_tile("pool_y_s", ckw::DataType::Int32); + TileOperand &pool_y_e = writer->declare_tile("pool_y_e", ckw::DataType::Int32); + + writer->op_binary_elementwise_function(pool_y_s, BinaryFunction::Max, const_0, minus_idx_in_h); + writer->op_binary_expression(pool_y_e, src_height_tile, BinaryOp::Add, minus_idx_in_h); + writer->op_binary_elementwise_function(pool_y_e, BinaryFunction::Min, pool_size_y_tile, pool_y_e); + + const TileOperand &filter_size = writer->declare_tile("filter_size", ckw::DataType::Int32); + if(_attributes.exclude_padding()) + { + const TileOperand &y_diff = writer->declare_tile("y_diff", ckw::DataType::Int32); + const TileOperand &x_diff = writer->declare_tile("x_diff", ckw::DataType::Int32); + + writer->op_binary_expression(y_diff, pool_y_e, BinaryOp::Sub, pool_y_s); + writer->op_binary_expression(x_diff, pool_x_e, BinaryOp::Sub, pool_x_s); + + writer->op_binary_expression(filter_size, y_diff, BinaryOp::Mul, x_diff); + } + else + { + writer->op_binary_expression(filter_size, pool_size_x_tile, BinaryOp::Mul, pool_size_y_tile); + } + + const TileOperand &x = writer->declare_tile("x", ckw::DataType::Int32); + const TileOperand &y = writer->declare_tile("y", ckw::DataType::Int32); + + if(is_global_pooling) + { + writer->op_assign(x, const_0); + writer->op_assign(y, const_0); + + writer->op_assign(pool_y_e, pool_size_y_tile); + writer->op_assign(pool_x_e, pool_size_x_tile); + } + else + { + writer->op_assign(x, pool_x_s); + writer->op_assign(y, pool_y_s); + } + + // Y dim for-loop + writer->op_for_loop(y, BinaryOp::Less, pool_y_e, y, AssignmentOp::Increment, const_1, [&]() + { + // Reset the iterator for the inner loop + if(is_global_pooling) + { + writer->op_assign(x, const_0); + } + else + { + writer->op_assign(x, pool_x_s); + } + + TileOperand &a_y = writer->declare_tile("a_y", ckw::DataType::Int32); + writer->op_binary_expression(a_y, idx_in_h, BinaryOp::Add, y); + + // X dim for-loop + writer->op_for_loop(x, BinaryOp::Less, pool_x_e, x, AssignmentOp::Increment, const_1, [&]() + { + TileOperand &a_x = writer->declare_tile("a_x", ckw::DataType::Int32); + writer->op_binary_expression(a_x, idx_in_w, BinaryOp::Add, x); + + TileOperand &src_tile = writer->declare_tile("src_tile", TileInfo(to_ckw(acc_data_type), m0, n0)); + + src_sampler.y(a_x); + src_sampler.z(a_y); + + // Load src tile + if(use_fp_mixed_precision) + { + TileOperand &src_uncasted_tile = writer->declare_tile("uncasted_src_tile", dst_tile_info); + writer->op_load(src_uncasted_tile, src->tensor(), src_sampler); + writer->op_cast_expression(src_tile, src_uncasted_tile, ckw::ConvertPolicy::None); + } + else + { + writer->op_load(src_tile, src->tensor(), src_sampler); + } + + // Take the square of the input, for L2 Pooling + if(_attributes.pool_type() == PoolingType::L2) + { + writer->op_binary_expression(src_tile, src_tile, BinaryOp::Mul, src_tile); + } + + // Perfom Pooling op + if(_attributes.pool_type() == PoolingType::MAX) + { + writer->op_binary_elementwise_function(res_tile, BinaryFunction::Max, res_tile, src_tile); + } + else + { + writer->op_binary_expression(res_tile, res_tile, BinaryOp::Add, src_tile); + } + }); + }); + + if((_attributes.pool_type() == PoolingType::AVG) || (_attributes.pool_type() == PoolingType::L2)) + { + // filter_size is automatically broadcasted in the operation + writer->op_binary_expression(res_tile, res_tile, BinaryOp::Div, filter_size); + } + + // Take square root of the result in L2 pooling + if(_attributes.pool_type() == PoolingType::L2) + { + writer->op_unary_elementwise_function(res_tile, UnaryFunction::Sqrt, res_tile); + } + + // Store the results and do casting if FP_MIXED_PRECISION + if(use_fp_mixed_precision) + { + writer->op_cast_expression(dst_tile, res_tile, ckw::ConvertPolicy::None); + } + else + { + writer->op_assign(dst_tile, res_tile); + } +} + +Window GpuCkwPool2d::get_window() const +{ + ARM_COMPUTE_ERROR_ON_MSG(_dst->tensor_shape().total_size() == 0U, "Destination tensor is not initialized"); + + TensorShape output_shape = _dst->tensor_shape(); + const unsigned int vec_size = adjust_vec_size(((_dst->data_type() == DataType::F32) ? 2 : 4), _dst->dimension(0)); + // Create and configure kernel window + auto win = calculate_max_window(output_shape, Steps(vec_size)); + win = win.collapse_if_possible(win, Window::DimZ); // collapse window on batch size. + return win; +} + +std::string GpuCkwPool2d::get_name(const ComponentGroup &comp_group) const +{ + ARM_COMPUTE_UNUSED(comp_group); + + return "pool2dMxN"; +} + +} // namespace dynamic_fusion +} // namespace experimental +} // namespace arm_compute diff --git a/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwPool2d.h b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwPool2d.h new file mode 100644 index 0000000000..2ccf255236 --- /dev/null +++ b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwPool2d.h @@ -0,0 +1,76 @@ +/* + * Copyright (c) 2023 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. + */ +#ifndef ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_CKW_DRIVER_COMPONENTS_GPUCKWPOOL2D_H +#define ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_CKW_DRIVER_COMPONENTS_GPUCKWPOOL2D_H + +#include "src/core/common/Macros.h" +#include "src/dynamic_fusion/sketch/gpu/ckw_driver/IGpuCkwComponentDriver.h" +#include "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentPool2d.h" + +#include <string> + +namespace arm_compute +{ +namespace experimental +{ +namespace dynamic_fusion +{ +class GpuCkwPool2d : public IGpuCkwComponentDriver +{ +public: + using Attributes = ClComponentPool2d::Attributes; + using Settings = ClComponentPool2d::Settings; + + /** Constructor + * + * For supported configurations please refer to @ref ClComponentCast::validate() + * + * @param[in] id Component id + * @param[in] tensors Tensor arguments to the component + * @param[in] attributes Component attributes + * @param[in] settings Component settings + */ + GpuCkwPool2d(ComponentId id, + const ArgumentPack<ITensorInfo> &tensors, + const Attributes &attributes, + const Settings &settings); + ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(GpuCkwPool2d); + /** Destructor */ + ~GpuCkwPool2d() override = default; + // Inherited methods overriden: + virtual void write_component_code(const ComponentGroup &comp_group, GpuCkwVariableTable &vtable, GpuCkwScopedKernelWriter writer) const override; + Window get_window() const override; + std::string get_name(const ComponentGroup &comp_group) const override; + +private: + const ITensorInfo *_src; + const ITensorInfo *_dst; + Attributes _attributes; + Settings _settings; +}; +} // namespace dynamic_fusion +} // namespace experimental +} // namespace arm_compute + +#endif // ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_CKW_DRIVER_COMPONENTS_GPUCKWPOOL2D_H diff --git a/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentPool2d.cpp b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentPool2d.cpp index 2b01803224..d415769094 100644 --- a/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentPool2d.cpp +++ b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentPool2d.cpp @@ -28,6 +28,7 @@ #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/dynamic_fusion/sketch/attributes/Pool2dAttributes.h" #include "src/core/CL/CLValidate.h" +#include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwPool2d.h" #include "src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplatePool2d.h" #include "src/dynamic_fusion/utils/Utils.h" #include <memory> @@ -89,16 +90,33 @@ ClComponentPool2d::ClComponentPool2d( const Attributes &attributes, const Settings &settings) : IGpuKernelComponent{ id, properties, tensors }, - _component_writer{ std::make_unique<ClTemplatePool2d>(id, tensors, attributes, settings) } +#ifndef ACL_INTERNAL_TEST_CKW_IN_DF + _component_writer +{ + std::make_unique<ClTemplatePool2d>(id, tensors, attributes, settings) +} +#else //ACL_INTERNAL_TEST_CKW_IN_DF + _component_writer +{ + std::make_unique<GpuCkwPool2d>(id, tensors, attributes, settings) +} +#endif //ACL_INTERNAL_TEST_CKW_IN_DF { } ClComponentPool2d::~ClComponentPool2d() { } +#ifndef ACL_INTERNAL_TEST_CKW_IN_DF const IGpuTemplateComponentWriter *ClComponentPool2d::template_writer() const { return _component_writer.get(); } +#else //ACL_INTERNAL_TEST_CKW_IN_DF +const IGpuCkwComponentDriver *ClComponentPool2d::ckw_component_driver() const +{ + return _component_writer.get(); +} +#endif //ACL_INTERNAL_TEST_CKW_IN_DF } // namespace dynamic_fusion } // namespace experimental } // namespace arm_compute diff --git a/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentPool2d.h b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentPool2d.h index 896048e27a..6814bf9243 100644 --- a/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentPool2d.h +++ b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentPool2d.h @@ -21,8 +21,8 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#ifndef SRC_DYNAMIC_FUSION_SKETCH_GPU_COMPONENTS_CL_CLCOMPONENTPOOL2D -#define SRC_DYNAMIC_FUSION_SKETCH_GPU_COMPONENTS_CL_CLCOMPONENTPOOL2D +#ifndef ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_COMPONENTS_CL_CLCOMPONENTPOOL2D_H +#define ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_COMPONENTS_CL_CLCOMPONENTPOOL2D_H #include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h" #include "src/dynamic_fusion/sketch/gpu/components/IGpuKernelComponent.h" @@ -41,7 +41,11 @@ class ArgumentPack; class Pool2dAttributes; /** Forward declaration */ +#ifndef ACL_INTERNAL_TEST_CKW_IN_DF class ClTemplatePool2d; +#else // ACL_INTERNAL_TEST_CKW_IN_DF +class GpuCkwPool2d; +#endif // ACL_INTERNAL_TEST_CKW_IN_DF class ClComponentPool2d final : public IGpuKernelComponent { @@ -113,20 +117,28 @@ public: /** Allow instances of this class to be moved */ ClComponentPool2d &operator=(ClComponentPool2d &&component) = default; - +#ifndef ACL_INTERNAL_TEST_CKW_IN_DF /** Get template writer for the component */ const IGpuTemplateComponentWriter *template_writer() const override; +#else // ACL_INTERNAL_TEST_CKW_IN_DF + /** Get GPU kernel writer for the component */ + const IGpuCkwComponentDriver *ckw_component_driver() const override; +#endif // ACL_INTERNAL_TEST_CKW_IN_DF /** Get component type */ GpuComponentType type() const override { - return GpuComponentType::Unfusable; + return GpuComponentType::Complex; } private: +#ifndef ACL_INTERNAL_TEST_CKW_IN_DF std::unique_ptr<ClTemplatePool2d> _component_writer; +#else // ACL_INTERNAL_TEST_CKW_IN_DF + std::unique_ptr<GpuCkwPool2d> _component_writer; +#endif // ACL_INTERNAL_TEST_CKW_IN_DF }; } // namespace dynamic_fusion } // namespace experimental } // namespace arm_compute -#endif /* SRC_DYNAMIC_FUSION_SKETCH_GPU_COMPONENTS_CL_CLCOMPONENTPOOL2D */ +#endif // ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_COMPONENTS_CL_CLCOMPONENTPOOL2D_H diff --git a/src/dynamic_fusion/sketch/gpu/operators/GpuPool2d.cpp b/src/dynamic_fusion/sketch/gpu/operators/GpuPool2d.cpp index e464be8607..7ecfa0158b 100644 --- a/src/dynamic_fusion/sketch/gpu/operators/GpuPool2d.cpp +++ b/src/dynamic_fusion/sketch/gpu/operators/GpuPool2d.cpp @@ -46,7 +46,16 @@ namespace dynamic_fusion { namespace { -constexpr GpuOperatorType operator_type = GpuOperatorType::Unfusable; +void calculate_and_init_dst_if_empty(ITensorInfo *dst, const ITensorInfo *src, const Pool2dAttributes &attributes, const GpuPool2dSettings &settings) +{ + if(dst->total_size() == 0U) + { + auto shape = misc::shape_calculator::compute_pool_shape(*src, convert_pool_attr_to_pool_info(attributes, settings.mixed_precision())); + auto_init_if_empty(*dst, src->clone()->set_tensor_shape(shape)); + } +} + +constexpr GpuOperatorType operator_type = GpuOperatorType::Complex; } // namespace GpuPool2dSettings &GpuPool2dSettings::mixed_precision(bool mixed_precision) @@ -73,19 +82,16 @@ bool GpuPool2dSettings::use_inf_as_limit() const Status GpuPool2d::validate_op(const GpuWorkloadSketch &sketch, const ITensorInfo *src, - const ITensorInfo *dst, const Pool2dAttributes &attributes, const GpuPool2dSettings &settings) { - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); - ARM_COMPUTE_RETURN_ERROR_ON(!src->has_valid_id() || !dst->has_valid_id()); + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src); + ARM_COMPUTE_RETURN_ERROR_ON(!src->has_valid_id()); // Auto initialize dst tensor info - TensorInfo dst_info_to_validate = *dst; - { - auto shape = misc::shape_calculator::compute_pool_shape(*src, convert_pool_attr_to_pool_info(attributes, settings.mixed_precision())); - auto_init_if_empty(dst_info_to_validate, src->clone()->set_tensor_shape(shape)); - } + TensorInfo dst_info_to_validate; + + calculate_and_init_dst_if_empty(&dst_info_to_validate, src, attributes, settings); // Perform fusion test // Pack tensor infos @@ -98,16 +104,15 @@ Status GpuPool2d::validate_op(const GpuWorkloadSketch &sketch, "Operator fusion test failed. This operator cannot be fused into the workload"); // Check if configuration is supported - return is_supported_op(*sketch.gpu_context(), src, &dst_info_to_validate, attributes, settings); + return is_supported_op(*sketch.gpu_context(), src, attributes, settings); } Status GpuPool2d::is_supported_op(const GpuWorkloadContext &context, const ITensorInfo *src, - const ITensorInfo *dst, const Pool2dAttributes &attributes, const GpuPool2dSettings &settings) { - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src); // Data type ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32); // Data layout @@ -116,11 +121,9 @@ Status GpuPool2d::is_supported_op(const GpuWorkloadContext &context, ARM_COMPUTE_RETURN_ERROR_ON_MSG(!attributes.exclude_padding(), "Exclude padding must be set to true in Attributes!"); // Auto initialize dst tensor info - TensorInfo dst_info_to_validate = *dst; - { - auto shape = misc::shape_calculator::compute_pool_shape(*src, convert_pool_attr_to_pool_info(attributes, settings.mixed_precision())); - auto_init_if_empty(dst_info_to_validate, src->clone()->set_tensor_shape(shape)); - } + TensorInfo dst_info_to_validate; + + calculate_and_init_dst_if_empty(&dst_info_to_validate, src, attributes, settings); // Check components if(context.gpu_language() == GpuLanguage::OpenCL) @@ -145,21 +148,20 @@ Status GpuPool2d::is_supported_op(const GpuWorkloadContext &context, return Status{}; } -void GpuPool2d::create_op(GpuWorkloadSketch &sketch, - ITensorInfo *src, - ITensorInfo *dst, - const Pool2dAttributes &attributes, - const GpuPool2dSettings &settings) +ITensorInfo *GpuPool2d::create_op(GpuWorkloadSketch &sketch, + ITensorInfo *src, + const Pool2dAttributes &attributes, + const GpuPool2dSettings &settings) { // Assert validation - ARM_COMPUTE_ERROR_THROW_ON(GpuPool2d::validate_op(sketch, src, dst, attributes, settings)); - ARM_COMPUTE_LOG_PARAMS(src, dst, attributes, settings); + ARM_COMPUTE_ERROR_THROW_ON(GpuPool2d::validate_op(sketch, src, attributes, settings)); + ARM_COMPUTE_LOG_PARAMS(src, attributes, settings); + + ITensorInfo *dst = sketch.implementation().create_virtual_tensor(); + ARM_COMPUTE_ERROR_ON_NULLPTR(dst); // Auto initialize dst tensor - { - auto shape = misc::shape_calculator::compute_pool_shape(*src, convert_pool_attr_to_pool_info(attributes, settings.mixed_precision())); // use the default DimensionRoundingType - auto_init_if_empty(*dst, src->clone()->set_tensor_shape(shape)); - } + calculate_and_init_dst_if_empty(dst, src, attributes, settings); // Translate into components and add to component graph auto &comp_graph = sketch.implementation().component_graph(); @@ -198,6 +200,8 @@ void GpuPool2d::create_op(GpuWorkloadSketch &sketch, const auto op = sketch.implementation().operator_group().new_operator(operator_type, tensors); sketch.implementation().operator_group().add_operator(op); + + return dst; } } // namespace dynamic_fusion diff --git a/tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp b/tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp index 7f5efd662a..b13364ccf1 100644 --- a/tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp +++ b/tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp @@ -21,8 +21,7 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ - -#ifndef ACL_INTERNAL_TEST_CKW_IN_DF // Do not include this test if ACL_INTERNAL_TEST_CKW_IN_DF and the op has not been ported to ckw +#ifdef ACL_INTERNAL_TEST_CKW_IN_DF #include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h" #include "tests/CL/CLAccessor.h" @@ -111,7 +110,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( // Validate Pool2d Configuration auto src_info = context.create_tensor_info(input_info); auto dst_info = context.create_tensor_info(output_info); - bool res = bool(GpuPool2d::validate_op(sketch, &src_info, &dst_info, pool2d_attr, settings)); + bool res = bool(GpuPool2d::validate_op(sketch, &src_info, pool2d_attr, settings)); ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS); } @@ -232,5 +231,4 @@ TEST_SUITE_END() // CL } } } - #endif // ACL_INTERNAL_TEST_CKW_IN_DF diff --git a/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h b/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h index 0efb761967..34f2647741 100644 --- a/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h +++ b/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h @@ -21,8 +21,8 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#ifndef TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_POOL2DFIXTURE -#define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_POOL2DFIXTURE +#ifndef ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_POOL2DFIXTURE_H +#define ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_POOL2DFIXTURE_H #include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/TensorInfo.h" @@ -33,6 +33,7 @@ #include "arm_compute/dynamic_fusion/sketch/attributes/Pool2dAttributes.h" #include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h" #include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h" +#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h" #include "src/dynamic_fusion/utils/Utils.h" #include "tests/CL/CLAccessor.h" @@ -100,7 +101,8 @@ protected: // Create Pool2dSettings GpuPool2dSettings pool_settings = GpuPool2dSettings().mixed_precision(mixed_precision); - FunctionType::create_op(sketch, &input_info, &dst_info, pool_attr, pool_settings); + ITensorInfo *ans_info = FunctionType::create_op(sketch, &input_info, pool_attr, pool_settings); + GpuOutput::create_op(sketch, ans_info, &dst_info); // Configure runtime ClWorkloadRuntime runtime; @@ -184,4 +186,4 @@ public: } // namespace test } // namespace arm_compute -#endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_POOL2DFIXTURE */ +#endif // ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_POOL2DFIXTURE_H |