/* Copyright (c) 2018 PaddlePaddle Authors. 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 "paddle/fluid/operators/jit/kernel_key.h" #include // XXH64: 13.8 GB/s #include "paddle/fluid/platform/enforce.h" namespace paddle { namespace operators { namespace jit { template <> int64_t JitCodeKey(const int& d) { return d; } template <> int64_t JitCodeKey(const int64_t& d) { return d; } template <> int64_t JitCodeKey(const gru_attr_t& attr) { return XXH64(&attr, sizeof(gru_attr_t), 0); } template <> int64_t JitCodeKey(const lstm_attr_t& attr) { int keys[5] = { attr.d, static_cast(attr.act_gate), static_cast(attr.act_cand), static_cast(attr.act_cell), static_cast(attr.use_peephole)}; return XXH64(keys, sizeof(int) * 5, 0); } template <> int64_t JitCodeKey(const seq_pool_attr_t& attr) { int keys[2] = {attr.w, static_cast(attr.type)}; return XXH64(keys, sizeof(int) * 2, 0); } template <> int64_t JitCodeKey(const matmul_attr_t& attr) { return XXH64(&attr, sizeof(int) * 3, 0); // m, n, k } template <> int64_t JitCodeKey(const emb_seq_pool_attr_t& attr) { return attr.table_width; } template <> int64_t JitCodeKey(const sgd_attr_t& attr) { return attr.grad_width; } } // namespace jit } // namespace operators } // namespace paddle