/* coding=utf-8 * Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include #include #include namespace multihead_attn { namespace fused_softmax { namespace scaled_softmax { torch::Tensor fwd_cuda( torch::Tensor const& input, float scale_factor); torch::Tensor bwd_cuda( torch::Tensor const& output_grads, torch::Tensor const& softmax_results, float scale_factor); torch::Tensor fwd( torch::Tensor const& input, float scale_factor) { TORCH_CHECK(input.dim() == 4, "expected 4D tensor"); TORCH_CHECK((input.scalar_type() == at::ScalarType::Half) || (input.scalar_type() == at::ScalarType::BFloat16), "Only fp16 and bf16 are supported"); return fwd_cuda(input, scale_factor); } torch::Tensor bwd( torch::Tensor const& output_grads, torch::Tensor const& softmax_results, float scale_factor) { TORCH_CHECK(output_grads.dim() == 4, "expected 3D tensor"); TORCH_CHECK(softmax_results.dim() == 4, "expected 3D tensor"); TORCH_CHECK((output_grads.scalar_type() == at::ScalarType::Half) || (output_grads.scalar_type() == at::ScalarType::BFloat16), "Only fp16 and bf16 are supported"); TORCH_CHECK((softmax_results.scalar_type() == at::ScalarType::Half) || (softmax_results.scalar_type() == at::ScalarType::BFloat16), "Only fp16 and bf16 are supported"); return bwd_cuda(output_grads, softmax_results, scale_factor); } } // end namespace scaled_softmax } // end namespace fused_softmax } // end namespace multihead_attn PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { m.def("forward", &multihead_attn::fused_softmax::scaled_softmax::fwd, "Self Multihead Attention scaled, softmax -- Forward."); m.def("backward", &multihead_attn::fused_softmax::scaled_softmax::bwd, "Self Multihead Attention scaled, softmax -- Backward."); }