public class CuDNNFunctionOptimizations
extends BaseOptimizerSet

Nested Classes
Modifier and Type	Class	Description
`static class`	`CuDNNFunctionOptimizations.CudnnConv2dNCHWtoNHWCConversion`	https://docs.nvidia.com/deeplearning/sdk/dl-performance-guide/index.html#tensor-layout For tensor cores: we want NHWC layout: Section 7.3.1 "Layout choice has an effect on performance, as convolutions implemented for Tensor Cores require NHWC layout and are fastest when input tensors are laid out in NHWC." "To maximize performance, we recommend using NHWC tensor layout." As for weights format: cuDNN docs are vague - but TF uses NCHW+OIHW or NHWC+OHWI

Method Summary
- Methods inherited from class org.nd4j.autodiff.samediff.optimize.optimizations.BaseOptimizerSet
  getOptimizers
- Methods inherited from class java.lang.Object
  clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

protected static final boolean isCudaBackend

Constructor Detail
- CuDNNFunctionOptimizations
```
public CuDNNFunctionOptimizations()
```

Class CuDNNFunctionOptimizations