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Gradient with Automatic Mixed Precision
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2
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689
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November 23, 2023
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Changing dtype drastically affects training time
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1
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436
|
November 15, 2023
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AMP on cpu: No Gradscaler necessary / available?
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1
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1102
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November 14, 2023
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Subnormal FP16 values detected when converting to TRT
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4
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3616
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November 6, 2023
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Does torch.cuda.amp support O2 almost FP16 training now?
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1
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701
|
November 2, 2023
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Why would GradientScaler work
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3
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466
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October 28, 2023
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Training loss behaves strangely in mixed-precision training
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5
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773
|
October 20, 2023
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Gradients'dtype is not fp16 when using torch.cuda.amp
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3
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577
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October 20, 2023
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Model distillation with mixed-precision training
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4
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531
|
October 9, 2023
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Unexpected execution time difference for identical operations on GPU
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8
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597
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September 25, 2023
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Performance regression in torch 2.0 with deterministic algorithms
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2
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738
|
September 22, 2023
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Is autocast expected to reflect changes to weights?
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1
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518
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September 20, 2023
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How to handle the value outside the fp16 range when casting?
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6
|
1857
|
September 11, 2023
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Gradients type in torch.cuda.amp
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3
|
825
|
August 22, 2023
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Torch autocast's gradient
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3
|
712
|
August 21, 2023
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Scaler.step(optimizer) in FP16 or FP32?
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1
|
781
|
August 2, 2023
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Amp on cpu 50x slower and high memory allocation
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0
|
542
|
August 1, 2023
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|
Why the loss_scale getting smaller and smaller?
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1
|
614
|
July 17, 2023
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Dataset half precision
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1
|
555
|
July 11, 2023
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Cudnn.allow_tf32 makes my network slower
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5
|
780
|
July 4, 2023
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What is the correct way to use mixed-precision training with OneCycleLR
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3
|
759
|
June 20, 2023
|
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How to replace apex.amp by pytorch amp?
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|
1
|
2476
|
June 14, 2023
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Fused mixed precision updates with PyTorch amp
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4
|
1330
|
June 7, 2023
|
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Fp16 matmul - CUDA kernel output differs from torch
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|
2
|
1065
|
May 31, 2023
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Jetson Nano AMP varied inference time
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0
|
742
|
May 22, 2023
|
|
Gradient Accumulation failing
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|
2
|
801
|
May 17, 2023
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Why to keep parameters in float32, why not in (b)float16?
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4
|
5132
|
May 15, 2023
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Crash in BCEWithLogitsLoss
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7
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1216
|
April 26, 2023
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Autocast with batch normalization in Pytorch model.eval() returns NaNs
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|
1
|
1103
|
April 26, 2023
|
|
Can't run inference on FP16 trained model
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4
|
1577
|
April 25, 2023
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