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Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwCast.cpp')
| -rw-r--r-- | src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwCast.cpp | 177 |
1 files changed, 177 insertions, 0 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwCast.cpp b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwCast.cpp new file mode 100644 index 0000000000..96874aa820 --- /dev/null +++ b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwCast.cpp @@ -0,0 +1,177 @@ +/* + * 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 "GpuCkwCast.h" + +#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwKernelWriter.h" +#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwScopedKernelWriter.h" +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Validate.h" +#include "ckw/TensorTileSampler.h" +#include "src/core/helpers/WindowHelpers.h" +#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h" +#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwVariableTable.h" +#include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/TypeConverter.h" +#include <string> + +using namespace ckw; +namespace arm_compute +{ +namespace experimental +{ +namespace dynamic_fusion +{ +namespace +{ +/** Create a simple sampler from tile of dimension [m0, n0] + */ +inline TensorTileSampler create_sampler(GpuCkwScopedKernelWriter &writer, int32_t m0, int32_t n0) +{ + TensorTileSampler sampler; + + auto &gid_0 = writer->declare_tile("gid_0", ckw::DataType::Int32); + auto &gid_1 = writer->declare_tile("gid_1", ckw::DataType::Int32); + auto &gid_2 = writer->declare_tile("gid_2", ckw::DataType::Int32); + + auto &const_0 = writer->declare_tile("0", 0); + writer->op_get_global_id(gid_0, 0); + writer->op_get_global_id(gid_1, 1); + writer->op_get_global_id(gid_2, 2); + + auto &x_coord = writer->declare_tile("x_coord", ckw::DataType::Int32); + auto &y_coord = writer->declare_tile("y_coord", ckw::DataType::Int32); + auto &m0_t = writer->declare_tile("m0", m0); + auto &n0_t = writer->declare_tile("n0", n0); + writer->op_binary_expression(x_coord, gid_0, BinaryOp::Mul, n0_t); + writer->op_binary_expression(y_coord, gid_1, BinaryOp::Mul, m0_t); + + sampler.x(x_coord); + sampler.y(y_coord); + sampler.z(const_0); // 3rd dimension collapsed with 2nd dimension + sampler.b(gid_2); + + sampler.width(n0); + sampler.height(m0); + + sampler.format(TensorSamplerFormat::C_WH_1); // 3rd dimension collapsed with 2nd dimension + sampler.address_mode_x(TensorSamplerAddressModeX::None); + sampler.address_mode_y(TensorSamplerAddressModeY::ClampToBorder); + sampler.address_mode_z(TensorSamplerAddressModeZ::Skip); // Dimensions higher than 3 not supported yet + + return sampler; +} +} // namespace + +GpuCkwCast::GpuCkwCast(ComponentId id, + const ArgumentPack<ITensorInfo> &tensors, + const Attributes &attributes) + : IGpuCkwComponentDriver{ id, tensors }, + _src{}, + _dst{}, + _attributes{ attributes } +{ + _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 GpuCkwCast::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, "src"); + GpuCkwComponentArgument *dst = vtable.declare_variable(comp_group, writer, _dst, "dst"); + + // Load the source tile and prepare the sampler. + if(!src->has_tile()) + { + const auto sampler = create_sampler(writer, m0, n0); + writer->op_load_once(src, sampler); + } + else + { + const auto &sampler = src->tile_sampler(); + writer->op_load_once(src, sampler); + } + + const auto &src_tile = src->tile(); + const auto &sampler = src->tile_sampler(); + + // Prepare the output tile. + if(!dst->has_tile()) + { + // Get Target datatype and convert it to ckw::DataType. + ckw::DataType target_dt = dynamic_fusion::to_ckw(_attributes.data_type()); + + // Create dst_tile based on src_tile dimensions and with target DataType. + const TileInfo src_tile_info = src_tile.tile_info(); + const TileInfo dst_tile_info = TileInfo(target_dt, src_tile_info.height(), src_tile_info.width()); + + // Declare dst_tile + auto &tile = writer->declare_tile("dst_tile", dst_tile_info); + dst->init_virtual_tensor(tile, sampler); + } + + const auto &dst_tile = dst->tile(); + + // Check if this op is cast-down or cast-up + const size_t src_size = data_size_from_type(_src->data_type()); + const size_t dst_size = data_size_from_type(_dst->data_type()); + const bool cast_down = (src_size >= dst_size); + + if(cast_down && is_data_type_quantized(_src->data_type())) + { + const auto &constant_x80 = writer->declare_tile("0x80", 0x80); + writer->op_binary_expression(src_tile, src_tile, BinaryOp::BitwiseXOR, constant_x80); + } + + ckw::ConvertPolicy convert_policy = ckw::ConvertPolicy::None; + + if(cast_down && (is_data_type_float(_src->data_type()) || _attributes.convert_policy() == ConvertPolicy::SATURATE)) + { + convert_policy = ckw::ConvertPolicy::Saturate; + } + + writer->op_cast_expression(dst_tile, src_tile, convert_policy); +} + +Window GpuCkwCast::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(); + // Collapse Dim 1 (W) and Dim 2 (H) together, leave Dim 0 (C) unchanged + // This is in line with the collapsing convention used by operators like Conv2d + output_shape.collapse(2U, 1U); + constexpr unsigned int vector_size_byte_opencl = 16; + const unsigned int num_elems_processed_per_iteration = adjust_vec_size(vector_size_byte_opencl / _dst->element_size(), _dst->dimension(0)); + Window win = calculate_max_window(output_shape, Steps(num_elems_processed_per_iteration)); + + return win; +} + +} // namespace dynamic_fusion +} // namespace experimental +} // namespace arm_compute |