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 +1,81 @@
+// Copyright (c) 2023 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/slice_grad_kernel.h"
+#include "paddle/common/flags.h"
+#include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/full_kernel.h"
+#include "paddle/phi/kernels/funcs/strided_utils.h"
+#include "paddle/phi/kernels/slice_kernel.h"
+
+COMMON_DECLARE_bool(use_stride_kernel);
+
+namespace phi {
+
+template <typename Context>
+void SliceGradStridedKernel(const Context& dev_ctx,
+                            const DenseTensor& input,
+                            const DenseTensor& out_grad,
+                            const std::vector<int64_t>& axes,
+                            const IntArray& starts,
+                            const IntArray& ends,
+                            const std::vector<int64_t>& infer_flags,
+                            const std::vector<int64_t>& decrease_axis,
+                            DenseTensor* input_grad) {
+  if (!FLAGS_use_stride_kernel) {
+    PADDLE_THROW(common::errors::Fatal(
+        "FLAGS_use_stride_kernel is closed. Strided kernel "
+        "be called, something wrong has happened!"));
+  }
+  dev_ctx.Alloc(input_grad, input_grad->dtype());
+  input_grad->set_strides(DenseTensorMeta::calc_strides(input_grad->dims()));
+  PD_VISIT_ALL_TYPES(input.dtype(), "SliceGradStridedKernel", ([&] {
+                       phi::StridedTensorFill<data_t>(
+                           *input_grad, 0, input_grad);
+                     }));
+  DenseTensor tmp;
+  tmp.set_meta(out_grad.meta());
+  if (out_grad.numel() == 0) {
+    // set zero to input_grad
+
+    PD_VISIT_ALL_TYPES(input.dtype(), "SliceGradStridedKernel", ([&] {
+                         phi::StridedTensorFill<data_t>(
+                             *input_grad, 0, input_grad);
+                       }));
+
+    return;
+  }
+  SliceStridedKernel<Context>(dev_ctx,
+                              *input_grad,
+                              axes,
+                              starts,
+                              ends,
+                              infer_flags,
+                              decrease_axis,
+                              &tmp);
+  PD_VISIT_ALL_TYPES(input.dtype(), "SliceGradStridedKernel", ([&] {
+                       phi::StridedTensorCopy<data_t>(
+                           out_grad,
+                           vectorize<int64_t>(tmp.dims()),
+                           vectorize<int64_t>(tmp.strides()),
+                           tmp.offset(),
+                           &tmp);
+                     }));
+}
+}  // namespace phi
+
+PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(slice_grad,
+                                         STRIDED,
+                                         phi::SliceGradStridedKernel) {}