#include #include #include #include #include #include #include #include #include #include #include #include namespace migraphx { inline namespace MIGRAPHX_INLINE_NS { namespace gpu { static const char* const softmax_kernel = R"__migraphx__( #include #include #include namespace migraphx { extern "C" { __global__ void softmax_kernel(void* input_p, void* output_p) { make_tensors()(input_p, output_p)([](auto input, auto output) { softmax<${axis}>(input, output); }); } } } // namespace migraphx )__migraphx__"; constexpr std::size_t compute_block_size(std::size_t n, std::size_t max_block_size = 1024) { size_t block_size = 128; while(block_size <= max_block_size and block_size <= n) block_size *= 2; return block_size / 2; } struct softmax_compiler : compiler { std::vector names() const { return {"softmax"}; } operation compile_op(context& ctx, const std::vector& inputs, const value& v) const { auto axis = v.at("axis").to(); auto relements = inputs[0].lens()[axis]; auto nelements = inputs.back().elements() / relements; auto block_size = compute_block_size(relements, 256); hip_compile_options options; options.set_launch_params( v, compute_global_for(ctx, nelements * block_size, 256), block_size); options.output = inputs.back(); options.inputs = inputs; options.kernel_name = "softmax_kernel"; auto src = interpolate_string(softmax_kernel, {{"axis", to_string(axis)}}); return compile_hip_code_object(src, options); } compiler_replace compile(context& ctx, instruction_ref ins, const operation& op) const { return replace(compile_op(ctx, to_shapes(ins->inputs()), op.to_value())); } }; } // namespace gpu } // namespace MIGRAPHX_INLINE_NS } // namespace migraphx