refine im2col test and add benchmark

Author: tensor-tang

paddle/fluid/operators/math/im2col_test.cc

@@ -14,7 +14,9 @@ limitations under the License. */
 
 #include "paddle/fluid/operators/math/im2col.h"
 #include <gtest/gtest.h>
+#include <sys/time.h>
 #include <vector>
+#include "paddle/fluid/operators/math/im2col_cfo_cpu.h"
 
 template <typename DeviceContext, typename Place>
 void testIm2col() {
@@ -160,82 +162,86 @@ void testIm2col() {
   delete context;
 }
 
+TEST(math, im2col) {
+  testIm2col<paddle::platform::CPUDeviceContext, paddle::platform::CPUPlace>();
+#ifdef PADDLE_WITH_CUDA
+  testIm2col<paddle::platform::CUDADeviceContext,
+             paddle::platform::CUDAPlace>();
+#endif
+}
+
+#define PREPARE_IM2COL_CPU                                                   \
+  paddle::platform::CPUPlace place;                                          \
+  paddle::platform::CPUDeviceContext context(place);                         \
+  paddle::framework::Tensor input;                                           \
+  paddle::framework::Tensor out;                                             \
+  paddle::framework::Tensor ref;                                             \
+  std::vector<int> padding({ph, pw});                                        \
+  std::vector<int> stride({1, 1});                                           \
+  std::vector<int> dilation({1, 1});                                         \
+  float* input_ptr = input.mutable_data<float>({ic, ih, iw}, place);         \
+  for (int i = 0; i < input.numel(); ++i) {                                  \
+    input_ptr[i] = static_cast<float>(i + 1);                                \
+  }                                                                          \
+  int output_height = (ih - fh + padding[0] * 2) / stride[0] + 1;            \
+  int output_width = (iw - fw + padding[1] * 2) / stride[1] + 1;             \
+  out.mutable_data<float>({ic, fh, fw, output_height, output_width}, place); \
+  ref.mutable_data<float>({ic, fh, fw, output_height, output_width}, place); \
+  paddle::operators::math::Im2ColFunctor<                                    \
+      paddle::operators::math::ColFormat::kCFO,                              \
+      paddle::platform::CPUDeviceContext, float>                             \
+      im2col
+
 void testIm2colCPU(int ic, int ih, int iw, int fh, int fw, int ph, int pw) {
-  paddle::framework::Tensor input;
-  paddle::framework::Tensor output;
-  paddle::framework::Tensor ref_output;
-  std::vector<int> padding({ph, pw});
-  std::vector<int> stride({1, 1});    // stride_y, stride_x
-  std::vector<int> dilation({1, 1});  // dilation_y, dilation_x
-  int output_height = (ih - fh + padding[0] * 2) / stride[0] + 1;
-  int output_width = (iw - fw + padding[1] * 2) / stride[1] + 1;
-  float* input_ptr =
-      input.mutable_data<float>({ic, ih, iw}, paddle::platform::CPUPlace());
-  for (int i = 0; i < input.numel(); ++i) {
-    input_ptr[i] = static_cast<float>(i + 1);
+  PREPARE_IM2COL_CPU;
+
+  im2col(context, input, dilation, stride, padding, &out);
+  paddle::operators::math::im2col_common<float>(input, dilation, stride,
+                                                padding, &ref);
+
+  float* ref_data = ref.data<float>();
+  float* out_data = out.data<float>();
+  for (int i = 0; i < out.numel(); ++i) {
+    EXPECT_EQ(out_data[i], ref_data[i]);
   }
+}
 
-  paddle::platform::CPUPlace place;
-  paddle::platform::CPUDeviceContext context(place);
-  output.mutable_data<float>({ic, fh, fw, output_height, output_width}, place);
-  ref_output.mutable_data<float>({ic, fh, fw, output_height, output_width},
-                                 place);
-  paddle::operators::math::Im2ColFunctor<
-      paddle::operators::math::ColFormat::kCFO,
-      paddle::platform::CPUDeviceContext, float>
-      im2col;
-  im2col(context, input, dilation, stride, padding, &output);
-  auto ref_im2col = [&](
-      const paddle::framework::Tensor& im, const std::vector<int>& dilation,
-      const std::vector<int>& stride, const std::vector<int>& padding,
-      paddle::framework::Tensor* col) {
-    int im_channels = im.dims()[0];
-    int im_height = im.dims()[1];
-    int im_width = im.dims()[2];
-    int filter_height = col->dims()[1];
-    int filter_width = col->dims()[2];
-    int output_height = col->dims()[3];
-    int output_width = col->dims()[4];
-    int channels_col = im_channels * filter_height * filter_width;
-
-    const float* im_data = im.data<float>();
-    float* col_data = col->data<float>();
-    for (int c = 0; c < channels_col; ++c) {
-      int w_offset = c % filter_width;
-      int h_offset = (c / filter_width) % filter_height;
-      int c_im = c / (filter_width * filter_height);
-      for (int h = 0; h < output_height; ++h) {
-        int im_row_idx = h * stride[0] - padding[0] + h_offset * dilation[0];
-        for (int w = 0; w < output_width; ++w) {
-          int im_col_idx = w * stride[1] - padding[1] + w_offset * dilation[1];
-          int col_idx = (c * output_height + h) * output_width + w;
-          int im_idx = (im_row_idx + c_im * im_height) * im_width + im_col_idx;
-          col_data[col_idx] = (im_row_idx < 0 || im_row_idx >= im_height ||
-                               im_col_idx < 0 || im_col_idx >= im_width)
-                                  ? 0.f
-                                  : im_data[im_idx];
-        }
-      }
-    }
+void benchIm2col(int ic, int ih, int iw, int fh, int fw, int ph, int pw) {
+  PREPARE_IM2COL_CPU;
+  constexpr int repeat = 30;
+  auto GetCurrentMs = []() -> double {
+    struct timeval time;
+    gettimeofday(&time, NULL);
+    return 1e+3 * time.tv_sec + 1e-3 * time.tv_usec;
   };
+  auto t1 = GetCurrentMs();
+  for (int i = 0; i < repeat; ++i) {
+    im2col(context, input, dilation, stride, padding, &out);
+  }
+  auto t2 = GetCurrentMs();
 
-  ref_im2col(input, dilation, stride, padding, &ref_output);
-
-  float* out_cfo_ptr = output.data<float>();
-  float* out_ref_ptr = ref_output.data<float>();
-  for (int i = 0; i < output.numel(); ++i) {
-    EXPECT_EQ(out_cfo_ptr[i], out_ref_ptr[i]);
+  for (int i = 0; i < repeat; ++i) {
+    paddle::operators::math::im2col_common<float>(input, dilation, stride,
+                                                  padding, &ref);
   }
+  auto t3 = GetCurrentMs();
+
+  LOG(INFO) << "before: " << (t3 - t2) / repeat
+            << ",after: " << (t2 - t1) / repeat;
 }
 
-TEST(math, im2col) {
-  testIm2col<paddle::platform::CPUDeviceContext, paddle::platform::CPUPlace>();
-  testIm2colCPU(/*ic*/ 3, /*ih*/ 5, /*iw*/ 5, /*fh*/ 3, /*fw*/ 2, /*ph*/ 0,
+TEST(math, im2col_cputest) {
+  testIm2colCPU(/*ic*/ 2, /*ih*/ 5, /*iw*/ 4, /*fh*/ 3, /*fw*/ 3, /*ph*/ 0,
                 /*pw*/ 0);
   testIm2colCPU(/*ic*/ 2, /*ih*/ 5, /*iw*/ 4, /*fh*/ 3, /*fw*/ 3, /*ph*/ 1,
                 /*pw*/ 1);
-#ifdef PADDLE_WITH_CUDA
-  testIm2col<paddle::platform::CUDADeviceContext,
-             paddle::platform::CUDAPlace>();
-#endif
+
+  benchIm2col(/*ic*/ 3, /*ih*/ 224, /*iw*/ 224, /*fh*/ 3, /*fw*/ 3, /*ph*/ 1,
+              /*pw*/ 1);
+  benchIm2col(/*ic*/ 3, /*ih*/ 224, /*iw*/ 224, /*fh*/ 3, /*fw*/ 3, /*ph*/ 0,
+              /*pw*/ 0);
+  benchIm2col(/*ic*/ 3, /*ih*/ 224, /*iw*/ 224, /*fh*/ 5, /*fw*/ 5, /*ph*/ 1,
+              /*pw*/ 1);
+  benchIm2col(/*ic*/ 3, /*ih*/ 224, /*iw*/ 224, /*fh*/ 5, /*fw*/ 5, /*ph*/ 0,
+              /*pw*/ 0);
 }