#include #include #include #include #include #include #include #include #include namespace migraphx { inline namespace MIGRAPHX_INLINE_NS { namespace gpu { using namespace migraphx::gpu::gen; // NOLINT static const char* const layernorm_kernel = R"__migraphx__( #include #include #include #include namespace migraphx { extern "C" { __global__ void layernorm_kernel(void* input_p, void* output_p) { transform_args(make_tensors(), rotate_last(), ${transformers})(input_p, output_p)([](auto... xs) { layernorm<${axis}>(op::id{}, xs...); }); } } } // namespace migraphx )__migraphx__"; struct layernorm_compiler : compiler { std::vector names() const { return {"layernorm", "gpu::prelayernorm"}; } operation compile_op(context& ctx, const std::vector& inputs, const value& v) const { // TODO: Use reduce_dims auto axis = inputs.front().lens().size() - 1; auto faxis = find_fast_axis({inputs.front()}); vectorize vec{}; // Vectorize if the axis is a reduction axis if(inputs.back().lens()[faxis] == 1) { vec = vectorize::elements(faxis, inputs); } auto relements = inputs[0].lens()[axis] / vec.size; 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 = "layernorm_kernel"; auto src = interpolate_string( layernorm_kernel, {{"transformers", make_transformer_args(vec)}, {"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