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Implement cuDNN conv2D grad. #32

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merged 5 commits into from
Oct 19, 2018
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  • Make conv2D_batch_grad backend-defined.
  • Implement cuDNN conv2D_batch_grad.
  • Enable gradR_loss on GPU.
  • (Not related) Implement TensorR transfer ops.

Conv2D is fully implemented for cuDNN.

- Make `conv2D_batch_grad` backend-defined.
- Implement cuDNN `conv2D_batch_grad`.
- Add `fillInPlace` and `copyFloatArray` to `Backend` trait.
  - Add default implementation of `copyTensorData`, calling
    `copyFloatArray`.
- Implement `fillInPlace` and `copyFloatArray` for GPU.
Update backend todo list.
Accumulate adjoint values in `conv2D_batch_grad`.
@dan-zheng dan-zheng requested a review from feiwang3311 October 18, 2018 19:15
@dan-zheng dan-zheng changed the title Implement conv2D grad on cuDNN. Implement cuDNN conv2D grad. Oct 18, 2018
@feiwang3311 feiwang3311 merged commit 663632d into feiwang3311:master Oct 19, 2018
@dan-zheng dan-zheng deleted the cudnn-conv2d branch October 22, 2018 01:56
@TiarkRompf TiarkRompf mentioned this pull request Oct 22, 2018
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