mirror of
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105 lines
3.7 KiB
C++
105 lines
3.7 KiB
C++
/*
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* The MIT License (MIT)
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*
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* Copyright (c) 2015-2024 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*/
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#include <migraphx/gpu/compiler.hpp>
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#include <migraphx/gpu/context.hpp>
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#include <migraphx/gpu/compile_hip_code_object.hpp>
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#include <migraphx/gpu/compile_hip.hpp>
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#include <migraphx/gpu/compile_gen.hpp>
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#include <migraphx/reduce_dims.hpp>
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namespace migraphx {
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inline namespace MIGRAPHX_INLINE_NS {
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namespace gpu {
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MIGRAPHX_DECLARE_ENV_VAR(MIGRAPHX_USE_FAST_SOFTMAX)
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using namespace migraphx::gpu::gen; // NOLINT
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static const char* const softmax_kernel = R"__migraphx__(
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#include <migraphx/kernels/index.hpp>
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#include <migraphx/kernels/softmax.hpp>
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#include <migraphx/kernels/vectorize.hpp>
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#include <args.hpp>
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namespace migraphx {
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extern "C" {
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MIGRAPHX_GLOBAL void softmax_kernel(void* input_p, void* output_p)
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{
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transform_args(make_tensors(), ${transformers})(input_p, output_p)([](auto input, auto output) {
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softmax<${axis}>(input, output);
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});
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}
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}
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} // namespace migraphx
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)__migraphx__";
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struct softmax_compiler : compiler<softmax_compiler>
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{
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std::vector<std::string> names() const { return {"softmax"}; }
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operation compile_op(context& ctx, const std::vector<shape>& inputs, const value& v) const
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{
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// TODO: Use reduce_dims
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auto axis = v.at("axis").to<int64_t>();
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auto faxis = find_fast_axis({inputs.front()});
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vectorize vec{};
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// Vectorize if the axis is a reduction axis
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if(faxis == axis)
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{
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vec = vectorize::elements(ctx, faxis, inputs);
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}
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auto relements = inputs[0].lens()[axis] / vec.size;
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auto nelements = (inputs.back().elements() / inputs[0].lens()[axis]);
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auto block_size = compute_block_size(ctx, relements, 256);
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hip_compile_options options;
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options.set_launch_params(
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v, compute_global_for(ctx, nelements * block_size, 256), block_size);
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options.output = inputs.back();
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options.inputs = inputs;
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options.kernel_name = "softmax_kernel";
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if(enabled(MIGRAPHX_USE_FAST_SOFTMAX{}))
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options.emplace_param("-DMIGRAPHX_USE_FAST_SOFTMAX");
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auto src = interpolate_string(
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softmax_kernel,
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{{"transformers", make_transformer_args(vec)}, {"axis", to_string(axis)}});
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return compile_hip_code_object(ctx, src, options);
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}
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compiler_replace compile(context& ctx, instruction_ref ins, const operation& op) const
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{
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return compile_op(ctx, to_shapes(ins->inputs()), op.to_value());
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}
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};
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} // namespace gpu
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} // namespace MIGRAPHX_INLINE_NS
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} // namespace migraphx
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