// Copyright (c) 2022 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/phi/kernels/transpose_kernel.h" #include #include "paddle/phi/backends/cpu/cpu_context.h" #include "paddle/phi/common/bfloat16.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/kernels/funcs/math_function.h" #include "paddle/phi/kernels/impl/transpose_grad_kernel_impl.h" namespace phi { template void TransposeKernel(const Context& ctx, const DenseTensor& x, const std::vector& axis, DenseTensor* out) { ctx.template Alloc(out); if (out->numel() == 0) { return; } int rank = axis.size(); switch (rank) { case 1: funcs::Transpose trans1; trans1(ctx, x, out, axis); break; case 2: funcs::Transpose trans2; trans2(ctx, x, out, axis); break; case 3: funcs::Transpose trans3; trans3(ctx, x, out, axis); break; case 4: funcs::Transpose trans4; trans4(ctx, x, out, axis); break; case 5: funcs::Transpose trans5; trans5(ctx, x, out, axis); break; case 6: funcs::Transpose trans6; trans6(ctx, x, out, axis); break; default: // for rank >= 7 situation funcs::TransposeNormal trans_normal; trans_normal(ctx, x, out, axis); } } } // namespace phi PD_REGISTER_KERNEL(transpose, CPU, ALL_LAYOUT, phi::TransposeKernel, bool, float, double, int32_t, int64_t, phi::dtype::float16, phi::dtype::bfloat16, phi::dtype::complex, phi::dtype::complex) {}