sandeep-krishnamurthy commented on a change in pull request #13614: Make
to_tensor and normalize to accept 3D or 4D tensor inputs
URL: https://github.com/apache/incubator-mxnet/pull/13614#discussion_r244505539
##########
File path: src/operator/image/image_random-inl.h
##########
@@ -123,28 +159,50 @@ inline bool NormalizeShape(const nnvm::NodeAttrs& attrs,
return true;
}
+void NormalizeImpl(const std::vector<TBlob> &inputs,
+ const std::vector<TBlob> &outputs,
+ const NormalizeParam ¶m,
+ const int length,
+ const int channel,
+ const int step = 0) {
+ MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
+ DType* input = inputs[0].dptr<DType>();
+ DType* output = outputs[0].dptr<DType>();
+
+ for (int i = 0; i < channel; ++i) {
+ DType mean = param.mean[param.mean.ndim() > 1 ? i : 0];
+ DType std_dev = param.std[param.std.ndim() > 1 ? i : 0];
+ for (int j = 0; j < length; ++j) {
+ output[step + i*length + j] = (input[step + i*length + j] - mean) /
std_dev;
Review comment:
Good point, it should be float. Making the change.
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