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
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+// 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/temporal_shift_kernel.h"
+
+#include "paddle/common/layout.h"
+#include "paddle/phi/backends/xpu/enforce_xpu.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/funcs/axis_utils.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void TemporalShiftKernel(const Context& dev_ctx,
+                         const DenseTensor& x,
+                         int seg_num,
+                         float shift_ratio,
+                         const std::string& data_format_str,
+                         DenseTensor* out) {
+  if (out && out->numel() == 0) {
+    dev_ctx.template Alloc<T>(out);
+    return;
+  }
+  auto* input = &x;
+  auto* output = out;
+  int64_t t = seg_num;
+  const DataLayout data_layout = StringToDataLayout(data_format_str);
+
+  const int64_t nt = input->dims()[0];
+  const int64_t n = nt / t;
+  const int64_t c =
+      (data_layout == DataLayout::NCHW ? input->dims()[1] : input->dims()[3]);
+  const int64_t h =
+      (data_layout == DataLayout::NCHW ? input->dims()[2] : input->dims()[1]);
+  const int64_t w =
+      (data_layout == DataLayout::NCHW ? input->dims()[3] : input->dims()[2]);
+
+  DDim out_dims = (data_layout == DataLayout::NCHW ? make_ddim({nt, c, h, w})
+                                                   : make_ddim({nt, h, w, c}));
+  const T* input_data = input->data<T>();
+  output->Resize(out_dims);
+  T* output_data = dev_ctx.template Alloc<T>(output);
+
+  if (data_layout == DataLayout::NCHW) {
+    int r = xpu::temporal_shift(dev_ctx.x_context(),
+                                input_data,
+                                output_data,
+                                n,
+                                c,
+                                h,
+                                w,
+                                t,
+                                shift_ratio,
+                                false);
+    PADDLE_ENFORCE_XDNN_SUCCESS(r, "temporal_shift");
+  } else {
+    int r = xpu::temporal_shift(dev_ctx.x_context(),
+                                input_data,
+                                output_data,
+                                n,
+                                c,
+                                h,
+                                w,
+                                t,
+                                shift_ratio,
+                                true);
+    PADDLE_ENFORCE_XDNN_SUCCESS(r, "temporal_shift");
+  }
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(
+    temporal_shift, XPU, ALL_LAYOUT, phi::TemporalShiftKernel, float) {}