chore: import upstream snapshot with attribution

paddle/phi/kernels/xpu/deformable_conv_kernel.cc

@@ -0,0 +1,115 @@
+// 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/deformable_conv_kernel.h"
+
+#include "paddle/phi/backends/xpu/enforce_xpu.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/full_kernel.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void DeformableConvKernel(const Context& dev_ctx,
+                          const DenseTensor& x,
+                          const DenseTensor& offset,
+                          const DenseTensor& filter,
+                          const optional<DenseTensor>& mask,
+                          const std::vector<int>& strides,
+                          const std::vector<int>& paddings,
+                          const std::vector<int>& dilations,
+                          int deformable_groups,
+                          int groups,
+                          int im2col_step,
+                          DenseTensor* out) {
+  if (x.numel() == 0 || filter.numel() == 0) {
+    Full<T, Context>(dev_ctx, out->dims(), 0, out);
+    return;
+  }
+  dev_ctx.template Alloc<T>(out);
+
+  if (backends::xpu::get_xpu_version(dev_ctx.GetPlace().GetDeviceId()) ==
+      backends::xpu::XPUVersion::XPU1) {
+    PADDLE_ENFORCE_EQ(
+        deformable_groups == 1,
+        true,
+        errors::InvalidArgument(("XPU1 only support deformable_groups == 1 in "
+                                 "deformable_conv op.")));
+    PADDLE_ENFORCE_EQ(
+        groups == 1,
+        true,
+        errors::InvalidArgument(
+            ("XPU1 only support groups == 1 in deformable_conv op.")));
+  }
+  PADDLE_ENFORCE_EQ(filter.dims()[2] <= 8 && filter.dims()[3] <= 8,
+                    true,
+                    errors::InvalidArgument(
+                        "Filter high and weight should less than 8 on xpu "
+                        "in deformable_conv op."));
+
+  const int64_t batch_size = x.dims()[0];
+  std::vector<int64_t> output_shape_vec(vectorize(out->dims()));
+
+  const T* input_ptr = x.data<T>();
+  const T* filter_ptr = filter.data<T>();
+  const float* offset_ptr = offset.data<T>();
+  const float* mask_ptr = mask ? mask->data<T>() : nullptr;
+  T* output_prt = out->data<T>();
+
+  // set zeros for d_table_data
+  const int zero = 0;
+  int r = xpu::constant<T>(dev_ctx.x_context(), output_prt, out->numel(), zero);
+  PADDLE_ENFORCE_XDNN_SUCCESS(r, "constant");
+  int64_t input_dim = x.numel() / x.dims()[0];
+  int64_t input_offset_dim = offset.numel() / offset.dims()[0];
+  int64_t input_mask_dim = mask->numel() / mask->dims()[0];
+  int64_t output_dim =
+      output_shape_vec[1] * output_shape_vec[2] * output_shape_vec[3];
+  std::vector<int64_t> ksize{filter.dims()[2], filter.dims()[3]};
+  int64_t n = static_cast<int64_t>(im2col_step);
+  int64_t c = x.dims()[1];
+  int64_t h = x.dims()[2];
+  int64_t w = x.dims()[3];
+  int64_t f = filter.dims()[0];
+
+  for (int64_t i = 0; i < batch_size / n; ++i) {
+    int r = xpu::deformable_conv<float, float, float, int>(
+        dev_ctx.x_context(),
+        input_ptr + i * n * input_dim,
+        filter_ptr,
+        offset_ptr + i * n * input_offset_dim,
+        mask_ptr + i * n * input_mask_dim,
+        output_prt + i * n * output_dim,
+        n,
+        c,
+        h,
+        w,
+        f,
+        ksize,
+        std::vector<int64_t>{strides.begin(), strides.end()},
+        std::vector<int64_t>{paddings.begin(), paddings.end()},
+        std::vector<int64_t>{dilations.begin(), dilations.end()},
+        groups,
+        deformable_groups,
+        nullptr,
+        nullptr,
+        nullptr,
+        true);
+    PADDLE_ENFORCE_XDNN_SUCCESS(r, "deformable_conv");
+  }
+}
+}  // namespace phi
+
+PD_REGISTER_KERNEL(
+    deformable_conv, XPU, ALL_LAYOUT, phi::DeformableConvKernel, float) {}