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[topi][CuDNN] Removed requirement for GPU from topi conv2d_cudnn.cuda…
… and conv3d_cudnn.cuda (#8276) Previously, `conv2d_cudnn.cuda` would use cudnn's benchmarking function to select a forward convolution when `cfg.is_fallback`, and `conv3d_cudnn.cuda` would use cudnn's benchmarking at all times. After this commit, both expose the cudnn algorithm choice as an option. If `cfg.is_fallback`, the local device will be benchmarked if present, otherwise will select a default cudnn implementation. In the future, to better support RPC use-cases, the fallback config should be based on cudnn-specific parameters saved in the Target object. Co-authored-by: Eric Lunderberg <[email protected]>
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