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About the mixed-precision category
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0
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1605
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August 24, 2020
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Half Precision based training adaptations
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3
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29
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August 4, 2025
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Conv2d bfloat16 slower than float16 on 4090
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0
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114
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May 26, 2025
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Autocast behaviour in different GPUs?
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1
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61
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May 23, 2025
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PyTorch 2.x causes divergence during training with mixed precision
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1
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59
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May 8, 2025
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How to setup buffers and parameters for mixed precision training
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0
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29
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April 7, 2025
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Is there a way to force some functions to be run with FP32 precision?
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4
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2987
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February 2, 2025
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Do we need to do torch.cuda.amp.autocast(enabled=False) before a custom function?
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4
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6895
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February 2, 2025
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Can `autocast` handle networks with layers having different dtypes?
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4
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104
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January 10, 2025
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How to Use Custom fp8 to fp16 Datatype Represented in uint8 in PyTorch
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1
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209
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January 8, 2025
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TF32 flags when using AMP
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5
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680
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December 26, 2024
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Does autocast create copies of tensors on the fly?
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2
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41
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December 16, 2024
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Slow convolutions on CPU with autocast
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2
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245
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December 14, 2024
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Dtype different for eval and train loop with mixed prescison
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5
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258
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December 12, 2024
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The dtype of optimizer states in PyTorch AMP training
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1
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203
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December 10, 2024
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BFloat16 training - explicit cast vs autocast
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9
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9210
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December 2, 2024
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Autocast on cpu dramatically slow
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4
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784
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November 27, 2024
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FCN ResNet18 low precision on SUNRGBD dataset
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0
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136
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November 20, 2024
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Why tensor.to convert fp32 to fp8_e4m3=Nan if overflow
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2
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546
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November 7, 2024
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Any operator is supported on fp8 tensor?
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7
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2598
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November 5, 2024
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Increased memory usage with AMP
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6
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4815
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November 5, 2024
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Reseting loss value
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0
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125
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October 22, 2024
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FSDP MixedPrecision vs AMP autocast?
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0
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196
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October 11, 2024
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Custom CUDA kernels with AMP
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0
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189
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September 23, 2024
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Half precision training time same as full precision
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4
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196
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September 19, 2024
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Why bf16 do not need loss scaling?
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4
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4606
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September 5, 2024
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What does the `use_fast_accum` option do in `torch._scaled_mm`
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1
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752
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August 27, 2024
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Weight parameters with 8, 14 bit precisions?
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3
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34
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August 20, 2024
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How to perform mixed precsion on single F.linear?
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1
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36
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August 11, 2024
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Model forward pass in AMP gives NaN
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0
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130
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August 5, 2024
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