Fix cuDNN convolution precision on Ampere+ GPUs #3127
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On Ampere and later GPUs (SM 8.0+), cuDNN's default math mode permits TF32 Tensor Core operations which use reduced mantissa precision. This causes numerical differences when comparing CUDA vs CPU convolution results, particularly in cudnnConvolutionBackwardFilter(). Explicitly set CUDNN_FMA_MATH to force true FP32 computation for consistent numerical results across all GPU architectures.
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Sweet, thanks for another PR :D |
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On Ampere and later GPUs (SM 8.0+), cuDNN's default math mode permits TF32 Tensor Core operations which use reduced mantissa precision. This causes numerical differences when comparing CUDA vs CPU convolution results, particularly in cudnnConvolutionBackwardFilter().
Explicitly set CUDNN_FMA_MATH to force true FP32 computation for consistent numerical results across all GPU architectures.