chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
15472 changed files with 3536181 additions and 0 deletions
@@ -0,0 +1,106 @@
+// 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/sparse/unary_grad_kernel.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/sparse/impl/unary_grad_kernel_impl.h"
+
+#define PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(name, prefix)     \
+  PD_REGISTER_KERNEL(name##_coo_grad,                              \
+                     CPU,                                          \
+                     ALL_LAYOUT,                                   \
+                     phi::sparse::prefix##CooGradKernel,           \
+                     float,                                        \
+                     double) {                                     \
+    kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO); \
+  }                                                                \
+                                                                   \
+  PD_REGISTER_KERNEL(name##_csr_grad,                              \
+                     CPU,                                          \
+                     ALL_LAYOUT,                                   \
+                     phi::sparse::prefix##CsrGradKernel,           \
+                     float,                                        \
+                     double) {                                     \
+    kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR); \
+  }
+
+#define PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(name, prefix) \
+  PD_REGISTER_KERNEL(name##_coo_grad,                                       \
+                     CPU,                                                   \
+                     ALL_LAYOUT,                                            \
+                     phi::sparse::prefix##CooGradKernel,                    \
+                     float,                                                 \
+                     double,                                                \
+                     phi::complex64,                                        \
+                     phi::complex128) {                                     \
+    kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);          \
+  }                                                                         \
+                                                                            \
+  PD_REGISTER_KERNEL(name##_csr_grad,                                       \
+                     CPU,                                                   \
+                     ALL_LAYOUT,                                            \
+                     phi::sparse::prefix##CsrGradKernel,                    \
+                     float,                                                 \
+                     double,                                                \
+                     phi::complex64,                                        \
+                     phi::complex128) {                                     \
+    kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR);          \
+  }
+
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(sqrt, Sqrt)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(relu, Relu)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(pow, Pow)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(relu6, Relu6)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(leaky_relu, LeakyRelu)
+
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(atan, Atan)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(asin, Asin)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(asinh, Asinh)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(atanh, Atanh)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(expm1, Expm1)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(log1p, Log1p)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(square, Square)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(sinh, Sinh)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(tan, Tan)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(sin, Sin)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(abs, Abs)
+PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(tanh, Tanh)
+
+PD_REGISTER_KERNEL(cast_coo_grad,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sparse::CastCooGradKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool) {}
+
+PD_REGISTER_KERNEL(cast_csr_grad,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sparse::CastCsrGradKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool) {}