add io_copy op and kernel for cuda

paddle/fluid/lite/core/memory.h

@@ -50,6 +50,22 @@ static void TargetFree(TargetType target, void* data) {
   }
 }
 
+static void TargetCopy(TargetType target, void* dst, const void* src,
+                       size_t size) {
+  switch (static_cast<int>(target)) {
+    case static_cast<int>(TargetType::kX86):
+    case static_cast<int>(TargetType::kHost):
+      TargetWrapper<TARGET(kHost)>::MemcpySync(dst, src, size,
+                                               IoDirection::DtoD);
+      break;
+
+    case static_cast<int>(TargetType::kCUDA):
+      TargetWrapper<TARGET(kCUDA)>::MemcpySync(dst, src, size,
+                                               IoDirection::DtoD);
+      break;
+  }
+}
+
 // Memory buffer manager.
 class Buffer {
  public:
@@ -57,6 +73,8 @@ class Buffer {
   Buffer(TargetType target, size_t size) : space_(size), target_(target) {}
 
   void* data() const { return data_; }
+  TargetType target() const { return target_; }
+  size_t space() const { return space_; }
 
   void ResetLazy(TargetType target, size_t size) {
     if (target != target_ || space_ < size) {
@@ -64,8 +82,8 @@ class Buffer {
     }
 
     if (size < space_) return;
-    data_ = TargetMalloc(target, size);
     target_ = target;
+    data_ = TargetMalloc(target, size);
     space_ = size;
   }
 
@@ -83,10 +101,11 @@ class Buffer {
     target_ = other.target_;
     ResizeLazy(nbytes);
     // TODO(Superjomn) support copy between different targets.
-    memcpy(data_, other.data_, nbytes);
+    TargetCopy(target_, data_, other.data_, nbytes);
   }
 
  private:
+  // memory it actually malloced.
   size_t space_{0};
   void* data_{nullptr};
   TargetType target_{TargetType::kHost};

paddle/fluid/lite/core/optimizer_test.cc

@@ -45,4 +45,4 @@ TEST(Optimizer, test) {
 }  // namespace paddle
 
 USE_LITE_OP(fc);
-USE_LITE_KERNEL(fc, kHost, kFloat);
+USE_LITE_KERNEL(fc, kHost, kFloat, def);

paddle/fluid/lite/core/target_wrapper.cc

@@ -27,5 +27,20 @@ size_t Place::hash() const {
   return hash;
 }
 
+bool operator<(const Place &a, const Place &b) {
+  if (a.target != b.target) return a.target < b.target;
+  if (a.precision != b.precision) return a.precision < b.precision;
+  if (a.layout != b.layout) return a.layout < b.layout;
+  if (a.device != b.device) return a.device < b.device;
+  return true;
+}
+
+std::string Place::DebugString() const {
+  std::stringstream os;
+  os << TargetToStr(target) << "/" << PrecisionToStr(precision) << "/"
+     << DataLayoutToStr(layout);
+  return os.str();
+}
+
 }  // namespace lite
 }  // namespace paddle
\ No newline at end of file

paddle/fluid/lite/core/target_wrapper.h

@@ -24,10 +24,22 @@ enum class TargetType : int {
   kHost,
   kX86,
   kCUDA,
-  kLastAsPlaceHolder
+  kAny,  // any target
+  kLastAsPlaceHolder,
+};
+enum class PrecisionType : int {
+  kUnk = 0,
+  kFloat,
+  kInt8,
+  kAny,  // any precision
+  kLastAsPlaceHolder,
+};
+enum class DataLayoutType : int {
+  kUnk = 0,
+  kNCHW,
+  kAny,  // any data layout
+  kLastAsPlaceHolder,
 };
-enum class PrecisionType : int { kUnk = 0, kFloat, kInt8, kLastAsPlaceHolder };
-enum class DataLayoutType : int { kUnk = 0, kNCHW, kLastAsPlaceHolder };
 
 // Some helper macro to get a specific TargetType.
 #define TARGET(item__) paddle::lite::TargetType::item__
@@ -42,17 +54,18 @@ constexpr const int kNumPrecisions =
 constexpr const int kNumTargets =
     TARGET_VAL(kLastAsPlaceHolder) - TARGET_VAL(kHost);
 
-static const std::string target2string[] = {"unk", "host", "x86", "cuda"};
+static const std::string target2string[] = {"unk", "host", "x86", "cuda",
+                                            "any"};
 static const std::string& TargetToStr(TargetType target) {
   return target2string[static_cast<int>(target)];
 }
 
-static const std::string precision2string[] = {"unk", "float", "int8"};
+static const std::string precision2string[] = {"unk", "float", "int8", "any"};
 static const std::string& PrecisionToStr(PrecisionType precision) {
   return precision2string[static_cast<int>(precision)];
 }
 
-static const std::string datalayout2string[] = {"unk", "NCHW"};
+static const std::string datalayout2string[] = {"unk", "NCHW", "any"};
 static const std::string& DataLayoutToStr(DataLayoutType x) {
   return datalayout2string[static_cast<int>(x)];
 }
@@ -86,45 +99,30 @@ struct Place {
 
   bool operator!=(const Place& other) const { return !(*this == other); }
 
-  friend bool operator<(const Place& a, const Place& b) {
-    if (a.target != b.target) return a.target < b.target;
-    if (a.precision != b.precision) return a.precision < b.precision;
-    if (a.layout != b.layout) return a.layout < b.layout;
-    if (a.device != b.device) return a.device < b.device;
-    return true;
-  }
+  friend bool operator<(const Place& a, const Place& b);
 
   friend std::ostream& operator<<(std::ostream& os, const Place& other) {
     os << other.DebugString();
     return os;
   }
 
-  std::string DebugString() const {
-    std::stringstream os;
-    os << TargetToStr(target) << "/" << PrecisionToStr(precision) << "/"
-       << DataLayoutToStr(layout);
-    return os.str();
-  }
+  std::string DebugString() const;
 };
 
-// Event sync for multi-stream devices like CUDA and OpenCL.
-// For the devices without support of stream, leave it empty.
-template <TargetType Target>
-class Event {};
-
 // Memory copy directions.
 enum class IoDirection {
   HtoH = 0,  // Host to host
   HtoD,      // Host to device
   DtoH,      // Device to host
+  DtoD,      // Device to device
 };
 
 // This interface should be specified by each kind of target.
-template <TargetType Target>
+template <TargetType Target, typename StreamTy = int, typename EventTy = int>
 class TargetWrapper {
  public:
-  using stream_t = int;
-  using event_t = Event<Target>;
+  using stream_t = StreamTy;
+  using event_t = EventTy;
 
   static size_t num_devices() { return 0; }
   static size_t maximum_stream() { return 0; }
@@ -143,9 +141,10 @@ class TargetWrapper {
   static void* Malloc(size_t size) { return new char[size]; }
   static void Free(void* ptr) { delete[] static_cast<char*>(ptr); }
 
-  static void MemcpySync(void* dst, void* src, size_t size, IoDirection dir) {}
-  static void MemcpyAsync(void* dst, void* src, size_t size,
-                          const stream_t& stream, IoDirection dir) {
+  static void MemcpySync(void* dst, const void* src, size_t size,
+                         IoDirection dir) {}
+  static void MemcpyAsync(void* dst, const void* src, size_t size,
+                          IoDirection dir, const stream_t& stream) {
     MemcpySync(dst, src, size, dir);
   }
 };

paddle/fluid/lite/core/tensor.h

@@ -23,23 +23,6 @@
 namespace paddle {
 namespace lite {
 
-template <TargetType Target>
-class EventTree {
- public:
-  using event_t = Event<Target>;
-
-  void AddChild(const event_t& event) { children_.push_back(event); }
-
-  void Sync() {
-    for (auto& event : children_) {
-      TargetWrapper<Target>::SyncEvent(event);
-    }
-  }
-
- private:
-  std::vector<event_t> children_;
-};
-
 using DDim = std::vector<int64_t>;
 static DDim SliceDims(const DDim& dims, int begin, int end) {
   return DDim(dims.begin() + begin, dims.begin() + end - 1);
@@ -80,10 +63,30 @@ class Tensor {
 
   template <typename T>
   T* mutable_data() {
-    buffer_->ResetLazy(target_, product(dims_) * sizeof(T));
+    memory_size_ = product(dims_) * sizeof(T);
+    buffer_->ResetLazy(target_, memory_size_);
+    return static_cast<T*>(buffer_->data());
+  }
+
+  template <typename T>
+  T* mutable_data(TargetType target) {
+    target_ = target;
+    buffer_->ResetLazy(target, memory_size());
     return static_cast<T*>(buffer_->data());
   }
 
+  void* mutable_data(size_t memory_size) {
+    buffer_->ResetLazy(target_, memory_size);
+    return buffer_->data();
+  }
+
+  void* mutable_data(TargetType target, size_t memory_size) {
+    target_ = target;
+    return mutable_data(memory_size);
+  }
+
+  size_t memory_size() const { return memory_size_; }
+
   bool IsInitialized() const { return buffer_->data(); }
 
   // Other share data to this.
@@ -101,11 +104,14 @@ class Tensor {
     *buffer_ = *other.buffer_;
   }
 
+  TargetType target() const { return target_; }
+
  private:
   TargetType target_{TargetType::kHost};
   DDim dims_;
   std::shared_ptr<Buffer> buffer_;
   LoD lod_;
+  size_t memory_size_{};
 };
 
 std::ostream& operator<<(std::ostream& os, const DDim& dims);

paddle/fluid/lite/core/type_system.h

@@ -57,6 +57,9 @@ class DataTypeBase {
     Tensor_Fp32_NCHW,
     Tensor_Int8_NCHW,
     Tensor_Int64_NCHW,
+    // Tensor_Any represents a Tensor with any place, data, layout. It is used
+    // in some IO kernels those doesn't care the data.
+    Tensor_Any,
     NumTypes,  // Must remains as last defined ID.
   };
 
@@ -137,6 +140,12 @@ class UnsupportedTy : public Type {
  public:
   UnsupportedTy() : Type(ID::Unsupported, "Unsupported", false /*is_tensor*/) {}
 };
+class TensorAnyTy : public Type {
+ public:
+  TensorAnyTy(TargetType target)
+      : Type(ID::Tensor_Any, "TensorAny", true, target, PRECISION(kAny),
+             DATALAYOUT(kAny)) {}
+};
 class TensorFp32NCHWTy : public Type {
  public:
   TensorFp32NCHWTy(TargetType target)

paddle/fluid/lite/cuda/target_wrapper.cc

@@ -16,4 +16,63 @@
 // Created by chunwei on 19-2-23.
 //
 
-#include "target_wrapper.h"
+#include "paddle/fluid/lite/cuda/target_wrapper.h"
+#include <glog/logging.h>
+
+namespace paddle {
+namespace lite {
+
+using TargetW = TargetWrapper<TARGET(kCUDA), cudaStream_t, cudaEvent_t>;
+
+template <>
+void* TargetW::Malloc(size_t size) {
+  return new char[size];
+}
+
+template <>
+void TargetW::Free(void* ptr) {
+  delete[] static_cast<char*>(ptr);
+}
+
+template <>
+void TargetW::MemcpySync(void* dst, const void* src, size_t size,
+                         IoDirection dir) {
+  switch (dir) {
+    case IoDirection::DtoD:
+      CHECK(cudaSuccess ==
+            cudaMemcpy(dst, src, size, cudaMemcpyDeviceToDevice));
+      break;
+    case IoDirection::HtoD:
+      CHECK(cudaSuccess == cudaMemcpy(dst, src, size, cudaMemcpyHostToDevice));
+      break;
+    case IoDirection::DtoH:
+      CHECK(cudaSuccess == cudaMemcpy(dst, src, size, cudaMemcpyDeviceToHost));
+      break;
+    default:
+      LOG(FATAL) << "Unsupported IoDirection " << static_cast<int>(dir);
+  }
+}
+
+template <>
+void TargetW::MemcpyAsync(void* dst, const void* src, size_t size,
+                          IoDirection dir, const stream_t& stream) {
+  switch (dir) {
+    case IoDirection::DtoD:
+      CHECK(cudaSuccess ==
+            cudaMemcpyAsync(dst, src, size, cudaMemcpyDeviceToDevice, stream));
+      break;
+    case IoDirection::HtoD:
+      CHECK(cudaSuccess ==
+            cudaMemcpyAsync(dst, src, size, cudaMemcpyHostToDevice, stream));
+      break;
+    case IoDirection::DtoH:
+      CHECK(cudaSuccess ==
+            cudaMemcpyAsync(dst, src, size, cudaMemcpyDeviceToHost, stream));
+      break;
+    default:
+      LOG(FATAL) << "Unsupported IoDirection " << static_cast<int>(dir);
+  }
+}
+
+}  // namespace lite
+}  // namespace paddle

paddle/fluid/lite/cuda/target_wrapper.h

@@ -12,10 +12,17 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include <cuda.h>
+#include <cuda_runtime.h>
+#include "paddle/fluid/lite/core/target_wrapper.h"
+
 namespace paddle {
-namespace framework {
 namespace lite {
-namespace cuda {}  // namespace cuda
+namespace cuda {
+
+using TargetWrap = TargetWrapper<TARGET(kHost)>;
+using TargetWrapAsync = TargetWrapper<TARGET(kHost), cudaStream_t, cudaEvent_t>;
+
+}  // namespace cuda
 }  // namespace lite
-}  // namespace framework
 }  // namespace paddle

paddle/fluid/lite/kernels/cuda/CMakeLists.txt

 cc_library(mul_compute_cuda SRCS mul_compute.cc DEPS tensor_lite)
+cc_library(io_copy_compute_cuda SRCS io_copy_compute.cc DEPS tensor_lite)

paddle/fluid/lite/kernels/cuda/io_copy_compute.cc

+// Copyright (c) 2019 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/fluid/lite/core/kernel.h"
+#include "paddle/fluid/lite/core/op_registry.h"
+#include "paddle/fluid/lite/cuda/target_wrapper.h"
+
+namespace paddle {
+namespace lite {
+namespace kernels {
+namespace cuda {
+
+using TargetW = TargetWrapper<TARGET(kHost), cudaStream_t, cudaEvent_t>;
+
+// Host to CUDA memory.
+void CopyFromHostSync(void* target, const void* source, size_t size) {
+  TargetW::MemcpySync(target, source, size, IoDirection::HtoD);
+}
+
+void CopyFromHostAsync(void* target, const void* source, size_t size,
+                       TargetW::stream_t stream) {
+  TargetW::MemcpyAsync(target, source, size, IoDirection::HtoD, stream);
+}
+
+// Host to Host memory.
+void CopyToHostSync(void* target, const void* source, size_t size) {
+  TargetW::MemcpySync(target, source, size, IoDirection::DtoH);
+}
+
+/*
+ * This kernel copies a tensor from host to CUDA space.
+ */
+class IoCopyHostToCudaCompute
+    : public OpKernel<TARGET(kCUDA), PRECISION(kAny), DATALAYOUT(kAny)> {
+ public:
+  void Run() override {
+    auto& param = Param<operators::IoCopyParam>();
+    CHECK(param.x->target() == TARGET(kHost) ||
+          param.x->target() == TARGET(kX86));
+    auto* data = param.y->mutable_data(target(), param.x->memory_size());
+    CopyFromHostSync(data, param.x->data<void>(), param.x->memory_size());
+  }
+};
+
+/*
+ * This kernel copies a tensor from CUDA to host space.
+ */
+class IoCopyCudaToHostCompute
+    : public OpKernel<TARGET(kCUDA), PRECISION(kAny), DATALAYOUT(kAny)> {
+ public:
+  void Run() override {
+    auto& param = Param<operators::IoCopyParam>();
+    CHECK(param.x->target() == TARGET(kCUDA));
+    auto* data = param.y->mutable_data(TARGET(kHost), param.x->memory_size());
+    CopyToHostSync(data, param.x->data<void>(), param.x->memory_size());
+  }
+};
+
+}  // namespace cuda
+}  // namespace kernels
+}  // namespace lite
+}  // namespace paddle
+
+REGISTER_LITE_KERNEL(io_copy, kCUDA, kAny,
+                     paddle::lite::kernels::cuda::IoCopyHostToCudaCompute,
+                     host_to_device)
+    .BindInput("Input", {paddle::lite::Type::Get<paddle::lite::TensorAnyTy>(
+                            TARGET(kHost))})
+    .BindOutput("Out", {paddle::lite::Type::Get<paddle::lite::TensorAnyTy>(
+                           TARGET(kCUDA))})
+    .Finalize();
+
+REGISTER_LITE_KERNEL(io_copy, kCUDA, kAny,
+                     paddle::lite::kernels::cuda::IoCopyCudaToHostCompute,
+                     device_to_host)
+    .BindInput("Input", {paddle::lite::Type::Get<paddle::lite::TensorAnyTy>(
+                            TARGET(kCUDA))})
+    .BindOutput("Out", {paddle::lite::Type::Get<paddle::lite::TensorAnyTy>(
+                           TARGET(kHost))})
+    .Finalize();

paddle/fluid/lite/operators/CMakeLists.txt

@@ -3,6 +3,7 @@ cc_library(relu_op_lite SRCS relu_op.cc DEPS op_lite)
 cc_library(mul_op_lite SRCS mul_op.cc DEPS op_lite)
 cc_library(scale_op_lite SRCS scale_op.cc DEPS op_lite)
 cc_library(feed_op_lite SRCS feed_op.cc DEPS op_lite)
+cc_library(io_copy_op_lite SRCS io_copy_op.cc DEPS op_lite)
 
 cc_library(op_params_lite SRCS op_params.cc DEPS tensor_lite)
 cc_library(ops_lite DEPS
@@ -11,6 +12,7 @@ cc_library(ops_lite DEPS
         mul_op_lite
         scale_op_lite
         feed_op_lite
+        io_copy_op_lite
         )
 
 cc_test(test_fc_op_lite SRCS fc_op_test.cc DEPS fc_op_lite fc_compute_host)

paddle/fluid/lite/operators/op_params.h

@@ -64,7 +64,13 @@ struct ScaleParam {
   bool bias_after_scale{true};
 };
 
-using param_t = variant<FeedParam, FcParam, ReluParam, MulParam, ScaleParam>;
+struct IoCopyParam {
+  const Tensor* x{};
+  Tensor* y{};
+};
+
+using param_t =
+    variant<FeedParam, FcParam, ReluParam, MulParam, ScaleParam, IoCopyParam>;
 
 }  // namespace operators
 }  // namespace lite

paddle/fluid/lite/x86/target_wrapper.cc

@@ -20,8 +20,8 @@ namespace paddle {
 namespace lite {
 
 template <>
-void TargetWrapper<TARGET(kX86)>::MemcpySync(void *dst, void *src, size_t size,
-                                             IoDirection dir) {
+void TargetWrapper<TARGET(kX86)>::MemcpySync(void *dst, const void *src,
+                                             size_t size, IoDirection dir) {
   std::copy_n(reinterpret_cast<uint8_t *>(src), size,
               reinterpret_cast<uint8_t *>(dst));
 }