Remove unused code.

mace/ops/fully_connected_benchmark.cc

@@ -23,15 +23,9 @@ static void FCBenchmark(
 
   if (D == DeviceType::OPENCL) {
     const int width_size = height * width * channel;
-    kernels::BufferType weight_type = kernels::BufferType::WEIGHT_HEIGHT;
-//    if (width_size > 16384) {
-      BufferToImage<D, T>(net, "Weight", "WeightImage",
-                          kernels::BufferType::WEIGHT_WIDTH);
-      weight_type = kernels::BufferType::WEIGHT_WIDTH;
-//    } else {
-//      BufferToImage<D, T>(net, "Weight", "WeightImage",
-//                          kernels::BufferType::WEIGHT_HEIGHT);
-//    }
+    kernels::BufferType weight_type = kernels::BufferType::WEIGHT_WIDTH;
+    BufferToImage<D, T>(net, "Weight", "WeightImage",
+                        weight_type);
     BufferToImage<D, T>(net, "Input", "InputImage",
                         kernels::BufferType::IN_OUT_CHANNEL);
     BufferToImage<D, T>(net, "Bias", "BiasImage",

mace/python/tools/caffe_converter_lib.py

@@ -422,7 +422,6 @@ class CaffeConverter(object):
     # Add filter
     weight_tensor_name = op.name + '_weight:0'
     self.add_tensor(weight_tensor_name, op.data[0])
-    print 'Winograd filter shape:', op.data[0].shape
 
     buffer_type = "WINOGRAD_FILTER"
     filter_name = self.add_buffer_to_image(weight_tensor_name, buffer_type)

tools/validate.py

@@ -105,12 +105,10 @@ def validate_caffe_model(input_names, input_shapes, output_names, output_shapes)
 
   for i in range(len(output_names)):
     value = net.blobs[net.top_names[output_names[i]][0]].data[0]
-    print net.top_names[output_names[i]][0]
     out_shape = output_shapes[i]
     out_shape[1], out_shape[2], out_shape[3] = out_shape[3], out_shape[1], out_shape[2]
     value = value.reshape(out_shape).transpose((0, 2, 3, 1))
     output_file_name = FLAGS.mace_out_file + "_" + format_output_name(output_names[i])
-    print 'output file name:', output_file_name
     mace_out_value = load_data(output_file_name)
     compare_output(output_names[i], mace_out_value, value)