Adapting to the BatchNorm structure to support 3D data

paddle/gserver/layers/BatchNormBaseLayer.cpp

@@ -62,14 +62,18 @@ void BatchNormBaseLayer::calFeatureMapSize() {
   const ImageConfig& conf = config_.inputs(0).image_conf();
   imageH_ = inputLayers_[0]->getOutput().getFrameHeight();
   imageW_ = inputLayers_[0]->getOutput().getFrameWidth();
+  imageD_ = inputLayers_[0]->getOutput().getFrameDepth();
+
+  if (0 == imageD_) imageD_ = conf.img_size_z();
   if (imageH_ == 0 && imageW_ == 0) {
     imageH_ = conf.has_img_size_y() ? conf.img_size_y() : conf.img_size();
     imageW_ = conf.img_size();
   } else {
     getOutput().setFrameHeight(imageH_);
     getOutput().setFrameWidth(imageW_);
+    getOutput().setFrameDepth(imageD_);
   }
-  imgPixels_ = imageH_ * imageW_;
+  imgPixels_ = imageH_ * imageW_ * imageD_;
 }
 
 }  // namespace paddle

paddle/gserver/layers/BatchNormBaseLayer.h

@@ -80,6 +80,7 @@ protected:
 
   /// Height or width of input image feature.
   /// Both of them are 1 if the input is fully-connected layer.
+  int imageD_;
   int imageH_;
   int imageW_;
   /// Height * Width.

paddle/gserver/tests/test_LayerGrad.cpp

@@ -1594,6 +1594,55 @@ TEST(Layer, BatchNormalizationLayer) {
 #endif
 }
 
+void testBatchNorm3DLayer(const string& type, bool trans, bool useGpu) {
+  TestConfig config;
+  const int CHANNELS = 10;
+  const int IMG_SIZE = 16;
+  const int IMG_SIZE_Y = 8;
+  const int IMG_SIZE_Z = 8;
+  size_t size = CHANNELS * IMG_SIZE * IMG_SIZE_Y * IMG_SIZE_Z;
+  config.layerConfig.set_type(type);
+  config.layerConfig.set_size(size);
+  config.layerConfig.set_active_type("sigmoid");
+  config.biasSize = CHANNELS;
+  config.inputDefs.push_back({INPUT_DATA,
+                              "layer_0",
+                              /* dim= */ size,
+                              /* paraSize= */ CHANNELS});
+
+  config.inputDefs.push_back({INPUT_DATA, "layer_1_running_mean", 1, CHANNELS});
+  config.inputDefs.back().isStatic = true;
+  config.inputDefs.push_back({INPUT_DATA, "layer_2_running_var", 1, CHANNELS});
+  config.inputDefs.back().isStatic = true;
+
+  LayerInputConfig* input = config.layerConfig.add_inputs();
+  config.layerConfig.add_inputs();
+  config.layerConfig.add_inputs();
+
+  ImageConfig* img_conf = input->mutable_image_conf();
+  img_conf->set_channels(CHANNELS);
+  img_conf->set_img_size(IMG_SIZE);
+  img_conf->set_img_size_y(IMG_SIZE_Y);
+  img_conf->set_img_size_z(IMG_SIZE_Z);
+
+  testLayerGrad(config,
+                "batch_norm",
+                64,
+                /* trans= */ trans,
+                useGpu,
+                /* useWeight */ true);
+}
+
+TEST(Layer, testBatchNorm3DLayer) {
+  testBatchNorm3DLayer("batch_norm", false, false);
+#ifndef PADDLE_ONLY_CPU
+  testBatchNorm3DLayer("batch_norm", false, true);
+  if (hl_get_cudnn_lib_version() >= int(4000)) {
+    testBatchNorm3DLayer("cudnn_batch_norm", false, true);
+  }
+#endif
+}
+
 void testConvOperator(bool isDeconv) {
   TestConfig config;
   const int NUM_FILTERS = 16;

paddle/parameter/Argument.cpp

@@ -186,6 +186,7 @@ void Argument::resizeAndCopyFrom(const Argument& src,
   resizeAndCopy(strs, src.strs, useGpu, stream);
   frameWidth = src.frameWidth;
   frameHeight = src.frameHeight;
+  frameDepth = src.frameDepth;
 }
 
 int32_t Argument::resizeAndCopyFrom(const Argument& src,
@@ -206,6 +207,7 @@ int32_t Argument::resizeAndCopyFrom(const Argument& src,
   dataId = src.dataId;
   frameWidth = src.frameWidth;
   frameHeight = src.frameHeight;
+  frameDepth = src.frameDepth;
 
   if (!src.sequenceStartPositions) {
     // non-sequence input, copy samples directly

paddle/parameter/Argument.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.
@@ -35,6 +32,7 @@ struct Argument {
         strs(nullptr),
         frameHeight(0),
         frameWidth(0),
+        frameDepth(0),
         sequenceStartPositions(nullptr),
         subSequenceStartPositions(nullptr),
         cpuSequenceDims(nullptr),
@@ -64,6 +62,7 @@ struct Argument {
     allCount = argument.allCount;
     frameHeight = argument.frameHeight;
     frameWidth = argument.frameWidth;
+    frameDepth = argument.frameDepth;
     dataId = argument.dataId;
   }
 
@@ -76,6 +75,7 @@ struct Argument {
   // A dataBatch includes batchSize frames, one frame maybe not only vector
   size_t frameHeight;
   size_t frameWidth;
+  size_t frameDepth;
 
   // If NULL, each position is treated independently.
   // Otherwise, its size should be #NumberOfSequences + 1.
@@ -136,8 +136,10 @@ struct Argument {
   }
   size_t getFrameHeight() const { return frameHeight; }
   size_t getFrameWidth() const { return frameWidth; }
+  size_t getFrameDepth() const { return frameDepth; }
   void setFrameHeight(size_t h) { frameHeight = h; }
   void setFrameWidth(size_t w) { frameWidth = w; }
+  void setFrameDepth(size_t d) { frameDepth = d; }
 
   int64_t getNumSequences() const {
     return sequenceStartPositions ? sequenceStartPositions->getSize() - 1

proto/ModelConfig.proto

@@ -82,6 +82,12 @@ message ConvConfig {
 
   // if not set, use img_size
   optional uint32 img_size_y = 14;
+
+  optional uint32 filter_size_z = 15 [ default = 1 ];
+  optional uint32 padding_z = 16 [ default = 1 ];
+  optional uint32 stride_z = 17 [ default = 1 ];
+  optional uint32 output_z = 18 [ default = 1 ];
+  optional uint32 img_size_z = 19 [ default = 1 ];
 }
 
 message PoolConfig {
@@ -124,6 +130,12 @@ message PoolConfig {
 
   // if not set, use padding
   optional uint32 padding_y = 13;
+
+  optional uint32 size_z = 14 [ default = 1 ];
+  optional uint32 stride_z = 15 [ default = 1 ];
+  optional uint32 output_z = 16 [ default = 1 ];
+  optional uint32 img_size_z = 17 [ default = 1 ];
+  optional uint32 padding_z = 18 [ default = 1 ];
 }
 
 message SppConfig {
@@ -256,6 +268,7 @@ message ImageConfig {
   // The size of input feature map.
   required uint32 img_size = 8;
   optional uint32 img_size_y = 9;
+  optional uint32 img_size_z = 10 [ default = 1 ];
 }
 
 message PriorBoxConfig {