Add TensorCopy method

A method to copy a tensor with stride and dimension. It is useful
for Crop, Concat, etc.

paddle/operators/CMakeLists.txt

@@ -96,3 +96,4 @@ set(GLOB_OP_LIB ${OP_LIBRARY} CACHE INTERNAL "Global OP library")
 cc_test(gather_test SRCS gather_test.cc DEPS tensor)
 cc_test(net_op_test SRCS net_op_test.cc DEPS net_op)
 cc_test(scatter_test SRCS scatter_test.cc DEPS tensor)
+cc_test(tensor_copy_test SRCS tensor_copy_test.cc DEPS tensor paddle_memory)

paddle/operators/detail/tensor_copy.h

+/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
+   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. */
+
+#pragma once
+#include "paddle/framework/ddim.h"
+#include "paddle/memory/memcpy.h"
+#include "paddle/platform/device_context.h"
+
+namespace paddle {
+namespace operators {
+namespace detail {
+
+template <typename T, int Rank>
+struct TensorCopyFunctor;
+
+template <typename T>
+struct TensorCopyFunctor<T, 1> {
+  void operator()(const platform::DeviceContext& dev_ctx, const T* src,
+                  framework::Dim<1> src_stride, framework::Dim<1> dst_dim,
+                  framework::Dim<1> dst_stride, T* dst) const {
+    auto place = dev_ctx.GetPlace();
+    if (platform::is_cpu_place(place)) {
+      auto& cpu_place = boost::get<platform::CPUPlace>(place);
+      memory::Copy(cpu_place, dst, cpu_place, src, sizeof(T) * dst_dim.head);
+    } else {
+#ifndef PADDLE_ONLY_CPU
+      auto& gpu_place = boost::get<platform::GPUPlace>(place);
+      auto& cuda_ctx =
+          reinterpret_cast<const platform::CUDADeviceContext&>(dev_ctx);
+      memory::Copy(gpu_place, dst, gpu_place, src, sizeof(T) * dst_dim.head,
+                   cuda_ctx.stream());
+#else
+      PADDLE_THROW("Paddle is not compiled with GPU");
+#endif
+    }
+  }
+};
+
+template <typename T, int Rank>
+struct TensorCopyFunctor {
+  void operator()(const platform::DeviceContext& dev_ctx, const T* src,
+                  framework::Dim<Rank> src_stride, framework::Dim<Rank> dst_dim,
+                  framework::Dim<Rank> dst_stride, T* dst) const {
+    for (int64_t i = 0; i < dst_dim.head; ++i) {
+      TensorCopyFunctor<T, Rank - 1> func;
+      func(dev_ctx, src, src_stride.tail, dst_dim.tail, dst_stride.tail, dst);
+      src += src_stride.head;
+      dst += dst_stride.head;
+    }
+  }
+};
+
+template <typename T>
+struct TensorCopyDimVisitor : public boost::static_visitor<void> {
+  TensorCopyDimVisitor(const platform::DeviceContext& dev_ctx, const T* src,
+                       const framework::DDim& src_stride,
+                       const framework::DDim& dst_stride, T* dst)
+      : dev_ctx_(dev_ctx),
+        src_(src),
+        src_stride_(src_stride),
+        dst_stride_(dst_stride),
+        dst_(dst) {}
+
+  template <typename Dim>
+  void operator()(Dim dst_dim) const {
+    Dim src_stride = boost::get<Dim>(src_stride_);
+    Dim dst_stride = boost::get<Dim>(dst_stride_);
+    constexpr int dim = Dim::dimensions;
+    TensorCopyFunctor<T, dim> functor;
+    functor(dev_ctx_, src_, src_stride, dst_dim, dst_stride, dst_);
+  }
+
+  const platform::DeviceContext& dev_ctx_;
+  const T* src_;
+  const framework::DDim& src_stride_;
+  const framework::DDim& dst_stride_;
+  T* dst_;
+};
+
+}  // namespace detail
+}  // namespace operators
+}  // namespace paddle

paddle/operators/tensor_copy.h

+/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
+   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. */
+
+#pragma once
+#include "paddle/operators/detail/tensor_copy.h"
+
+namespace paddle {
+namespace operators {
+
+// Copy a tensor from src to dst.
+// The src and dst should be both on dev_ctx.GetPlace()
+//
+// the stride of an array (also referred to as increment, pitch or step size) is
+// the number of locations in memory between beginnings of successive array
+// elements
+//
+// For example, for tensor like [1, 3, 300, 300]. If there is no padding, the
+// stride is [270000, 90000, 300, 1].
+//
+// NOTE: When use GPU, the memcpy is async. To sync memcpy, please invoke
+// `dev_ctx.Wait()`.
+template <typename T>
+inline void TensorCopy(const platform::DeviceContext& dev_ctx, const T* src,
+                       const framework::DDim& src_stride,
+                       const framework::DDim& dst_dim,
+                       const framework::DDim& dst_stride, T* dst) {
+  using namespace detail;
+  TensorCopyDimVisitor<T> func(dev_ctx, src, src_stride, dst_stride, dst);
+  boost::apply_visitor(func, dst_dim);
+}
+}  // namespace operators
+}  // namespace paddle

paddle/operators/tensor_copy_test.cc

+/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
+   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/operators/tensor_copy.h"
+#include "gtest/gtest.h"
+#include "paddle/memory/memory.h"
+
+namespace paddle {
+namespace operators {
+TEST(TensorCopy, CPU_COPY) {
+  int src[] = {
+      0, 1, 2, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0,
+  };
+
+  framework::DDim src_stride({5, 1});
+
+  int dst[4];
+  framework::DDim dst_dim({2, 2});
+  framework::DDim dst_stride({2, 1});
+
+  platform::CPUDeviceContext ctx;
+  TensorCopy<int>(ctx, src + 1, src_stride, dst_dim, dst_stride, dst);
+
+  ASSERT_EQ(1, dst[0]);
+  ASSERT_EQ(2, dst[1]);
+  ASSERT_EQ(3, dst[2]);
+  ASSERT_EQ(4, dst[3]);
+}
+
+#ifndef PADDLE_ONLY_CPU
+TEST(TensorCopy, GPU_COPY) {
+  int src[] = {
+      0, 1, 2, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0,
+  };
+
+  platform::GPUPlace gpu0(0);
+  platform::CPUPlace cpu;
+
+  int* gpu_src = reinterpret_cast<int*>(memory::Alloc(gpu0, sizeof(src)));
+  memory::Copy(gpu0, gpu_src, cpu, src, sizeof(src));
+
+  framework::DDim src_stride({5, 1});
+
+  int dst[4];
+  int* gpu_dst = reinterpret_cast<int*>(memory::Alloc(gpu0, sizeof(dst)));
+
+  framework::DDim dst_dim({2, 2});
+  framework::DDim dst_stride({2, 1});
+
+  platform::CUDADeviceContext ctx(gpu0);
+  TensorCopy<int>(ctx, gpu_src + 1, src_stride, dst_dim, dst_stride, gpu_dst);
+
+  memory::Copy(cpu, dst, gpu0, gpu_dst, sizeof(dst));
+
+  ASSERT_EQ(1, dst[0]);
+  ASSERT_EQ(2, dst[1]);
+  ASSERT_EQ(3, dst[2]);
+  ASSERT_EQ(4, dst[3]);
+
+  memory::Free(gpu0, gpu_dst);
+  memory::Free(gpu0, gpu_src);
+}
+
+#endif
+}  // namespace operators
+}  // namespace paddle
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