Add context parameter and math namespace.

paddle/operators/math/im2col.cc

@@ -15,6 +15,7 @@ limitations under the License. */
 #include "paddle/operators/math/im2col.h"
 
 namespace paddle {
+namespace math {
 
 /*
  * im = [input_channels, input_height, input_width]
@@ -26,7 +27,7 @@ class Im2ColFunctor<kCFO, platform::CPUPlace, T> {
  public:
   void operator()(const framework::Tensor& im, framework::Tensor& col,
                   int stride_height, int stride_width, int padding_height,
-                  int padding_width) {
+                  int padding_width, platform::DeviceContext* context) {
     PADDLE_ENFORCE(im.dims().size() == 3);
     PADDLE_ENFORCE(col.dims().size() == 5);
 
@@ -77,7 +78,7 @@ class Col2ImFunctor<kCFO, platform::CPUPlace, T> {
  public:
   void operator()(framework::Tensor& im, const framework::Tensor& col,
                   int stride_height, int stride_width, int padding_height,
-                  int padding_width) {
+                  int padding_width, platform::DeviceContext* context) {
     PADDLE_ENFORCE(im.dims().size() == 3);
     PADDLE_ENFORCE(col.dims().size() == 5);
     int input_channels = im.dims()[0];
@@ -130,7 +131,7 @@ class Im2ColFunctor<kOCF, platform::CPUPlace, T> {
  public:
   void operator()(const framework::Tensor& im, framework::Tensor& col,
                   int stride_height, int stride_width, int padding_height,
-                  int padding_width) {
+                  int padding_width, platform::DeviceContext* context) {
     PADDLE_ENFORCE(im.dims().size() == 3);
     PADDLE_ENFORCE(col.dims().size() == 5);
     int input_channels = im.dims()[0];
@@ -189,7 +190,7 @@ class Col2ImFunctor<kOCF, platform::CPUPlace, T> {
  public:
   void operator()(framework::Tensor& im, const framework::Tensor& col,
                   int stride_height, int stride_width, int padding_height,
-                  int padding_width) {
+                  int padding_width, platform::DeviceContext* context) {
     PADDLE_ENFORCE(im.dims().size() == 3);
     PADDLE_ENFORCE(col.dims().size() == 5);
     int input_channels = im.dims()[0];
@@ -241,4 +242,5 @@ template class Im2ColFunctor<kOCF, platform::CPUPlace, double>;
 template class Col2ImFunctor<kOCF, platform::CPUPlace, float>;
 template class Col2ImFunctor<kOCF, platform::CPUPlace, double>;
 
+}  // namespace math
 }  // namespace paddle

paddle/operators/math/im2col.cu

@@ -16,6 +16,7 @@ limitations under the License. */
 #include "paddle/platform/cuda_helper.h"
 
 namespace paddle {
+namespace math {
 
 template <class T>
 __global__ void im2col(const T* data_im, int num_outs, int height, int width,
@@ -63,7 +64,7 @@ class Im2ColFunctor<kCFO, platform::GPUPlace, T> {
  public:
   void operator()(const framework::Tensor& im, framework::Tensor& col,
                   int stride_height, int stride_width, int padding_height,
-                  int padding_width) {
+                  int padding_width, platform::DeviceContext* context) {
     PADDLE_ENFORCE(im.dims().size() == 3);
     PADDLE_ENFORCE(col.dims().size() == 5);
 
@@ -81,6 +82,7 @@ class Im2ColFunctor<kCFO, platform::GPUPlace, T> {
     int block_y = (blocks + 512 - 1) / 512;
     dim3 threads(1024, 1);
     dim3 grid(block_x, block_y);
+    // TODO(hedaoyuan): launch kernel on specified stream
     im2col<T><<<grid, threads>>>(
         im.data<T>(), num_outputs, input_height, input_width, filter_height,
         filter_width, stride_height, stride_width, padding_height,
@@ -145,7 +147,7 @@ class Col2ImFunctor<kCFO, platform::GPUPlace, T> {
  public:
   void operator()(framework::Tensor& im, const framework::Tensor& col,
                   int stride_height, int stride_width, int padding_height,
-                  int padding_width) {
+                  int padding_width, platform::DeviceContext* context) {
     PADDLE_ENFORCE(im.dims().size() == 3);
     PADDLE_ENFORCE(col.dims().size() == 5);
 
@@ -168,6 +170,7 @@ class Col2ImFunctor<kCFO, platform::GPUPlace, T> {
 
     // To avoid involving atomic operations, we will launch one kernel per
     // bottom dimension, and then in the kernel add up the top dimensions.
+    // TODO(hedaoyuan): launch kernel on specified stream
     col2im<T><<<grid, threads>>>(
         num_kernels, col.data<T>(), input_height + 2 * padding_height,
         input_width + 2 * padding_width, input_channels, filter_height,
@@ -224,7 +227,7 @@ class Im2ColFunctor<kOCF, platform::GPUPlace, T> {
  public:
   void operator()(const framework::Tensor& im, framework::Tensor& col,
                   int stride_height, int stride_width, int padding_height,
-                  int padding_width) {
+                  int padding_width, platform::DeviceContext* context) {
     PADDLE_ENFORCE(im.dims().size() == 3);
     PADDLE_ENFORCE(col.dims().size() == 5);
     int input_channels = im.dims()[0];
@@ -255,6 +258,7 @@ class Im2ColFunctor<kOCF, platform::GPUPlace, T> {
     dim3 threads(block_dim_x, block_dim_y,
                  std::min(block_dim_z, input_channels));
     dim3 grid(output_width, output_height);
+    // TODO(hedaoyuan): launch kernel on specified stream
     im2colOCF<T><<<grid, threads>>>(
         im.data<T>(), col.data<T>(), input_channels, input_height, input_width,
         filter_height, filter_width, stride_height, stride_width,
@@ -304,7 +308,7 @@ class Col2ImFunctor<kOCF, platform::GPUPlace, T> {
  public:
   void operator()(framework::Tensor& im, const framework::Tensor& col,
                   int stride_height, int stride_width, int padding_height,
-                  int padding_width) {
+                  int padding_width, platform::DeviceContext* context) {
     PADDLE_ENFORCE(im.dims().size() == 3);
     PADDLE_ENFORCE(col.dims().size() == 5);
     int input_channels = im.dims()[0];
@@ -335,7 +339,8 @@ class Col2ImFunctor<kOCF, platform::GPUPlace, T> {
     dim3 threads(block_dim_x, block_dim_y,
                  std::min(block_dim_z, input_channels));
     dim3 grid(output_width, output_height);
-    col2imOCF<T><<<grid, threads, 0>>>(
+    // TODO(hedaoyuan): launch kernel on specified stream
+    col2imOCF<T><<<grid, threads>>>(
         im.data<T>(), col.data<T>(), input_channels, input_height, input_width,
         filter_height, filter_width, stride_height, stride_width,
         padding_height, padding_width, output_height, output_width);
@@ -347,4 +352,5 @@ template class Im2ColFunctor<kOCF, platform::GPUPlace, double>;
 template class Col2ImFunctor<kOCF, platform::GPUPlace, float>;
 template class Col2ImFunctor<kOCF, platform::GPUPlace, double>;
 
+}  // namespace math
 }  // namespace paddle

paddle/operators/math/im2col.h

@@ -18,6 +18,7 @@ limitations under the License. */
 #include "paddle/platform/device_context.h"
 
 namespace paddle {
+namespace math {
 
 /* The storage format of the coldata in the Im2ColFunctor and Col2ImFunctor. */
 enum ColFormat { kCFO = 0, kOCF = 1 };
@@ -72,7 +73,7 @@ class Im2ColFunctor {
  public:
   void operator()(const framework::Tensor& im, framework::Tensor& col,
                   int stride_height, int stride_width, int padding_height,
-                  int padding_width);
+                  int padding_width, platform::DeviceContext* context);
 };
 
 template <ColFormat Format, typename Place, typename T>
@@ -80,7 +81,8 @@ class Col2ImFunctor {
  public:
   void operator()(framework::Tensor& im, const framework::Tensor& col,
                   int stride_height, int stride_width, int padding_height,
-                  int padding_width);
+                  int padding_width, platform::DeviceContext* context);
 };
 
+}  // namespace math
 }  // namespace paddle