diff options
Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwActivation.cpp')
| -rw-r--r-- | src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwActivation.cpp | 189 |
1 files changed, 189 insertions, 0 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwActivation.cpp b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwActivation.cpp new file mode 100644 index 0000000000..f966f43007 --- /dev/null +++ b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwActivation.cpp @@ -0,0 +1,189 @@ +/* + * 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 "GpuCkwActivation.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/WriterHelper.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 + +GpuCkwActivation::GpuCkwActivation(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 GpuCkwActivation::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_src_dst_tiles_and_prepare_sampler(writer, src, dst, m0, n0, create_sampler); + + auto &src_tile = src->tile(); + auto &dst_tile = dst->tile(); + + // Constants + const auto &constant_minus_1 = writer->declare_tile("minus_1", -1); + const auto &constant_pos_1 = writer->declare_tile("one", 1); + const auto &constant_zero = writer->declare_tile("zero", 0); + const auto &constant_A = writer->declare_tile("A_VAL", _attributes.a()); + const auto &constant_B = writer->declare_tile("B_VAL", _attributes.b()); + + // Perform the operation. + switch (_attributes.activation()) + { + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + { + // dst = src * -1 + writer->op_binary_expression(dst_tile, src_tile, BinaryOp::Mul, constant_minus_1); + // dst = exp(src * -1) + writer->op_unary_elementwise_function(dst_tile, UnaryFunction::Exp, dst_tile); + // dst = 1 + (exp(src * -1)) + writer->op_binary_expression(dst_tile, dst_tile, BinaryOp::Add, constant_pos_1); + // dst = 1 / 1 + (exp(src * -1)) + writer->op_binary_expression(dst_tile, constant_pos_1, BinaryOp::Div, dst_tile); + break; + } + case ActivationLayerInfo::ActivationFunction::TANH: + { + // dst = B_VAL * src + writer->op_binary_expression(dst_tile, src_tile, BinaryOp::Mul, constant_B); + // dst = tanh(B_VAL * src) + writer->op_unary_elementwise_function(dst_tile, UnaryFunction::Tanh, dst_tile); + // dst = A_VAL * tanh(B_VAL * src) + writer->op_binary_expression(dst_tile, dst_tile, BinaryOp::Mul, constant_A); + break; + } + case ActivationLayerInfo::ActivationFunction::RELU: + { + // dst = max(src, 0) + writer->op_binary_elementwise_function(dst_tile, ckw::BinaryFunction::Max, src_tile, constant_zero); + break; + } + case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: + { + //dst = max(src, 0) + writer->op_binary_elementwise_function(dst_tile, ckw::BinaryFunction::Max, src_tile, constant_zero); + //dst = min(max(src, 0), A_VAL) + writer->op_binary_elementwise_function(dst_tile, ckw::BinaryFunction::Min, dst_tile, constant_A); + break; + } + case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU: + { + //dst = max(src, B_VAL) + writer->op_binary_elementwise_function(dst_tile, ckw::BinaryFunction::Max, src_tile, constant_B); + //dst = min(max(src, B_VAL), A_VAL) + writer->op_binary_elementwise_function(dst_tile, ckw::BinaryFunction::Min, dst_tile, constant_A); + break; + } + default: + CKW_ASSERT(false); + break; + } +} + +Window GpuCkwActivation::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
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