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Is autocast expected to reflect changes to weights?
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1
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496
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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
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1738
|
September 11, 2023
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Gradients type in torch.cuda.amp
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3
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722
|
August 22, 2023
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Torch autocast's gradient
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3
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702
|
August 21, 2023
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Scaler.step(optimizer) in FP16 or FP32?
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1
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745
|
August 2, 2023
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Amp on cpu 50x slower and high memory allocation
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0
|
517
|
August 1, 2023
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Why the loss_scale getting smaller and smaller?
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1
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572
|
July 17, 2023
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Dataset half precision
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1
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527
|
July 11, 2023
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Cudnn.allow_tf32 makes my network slower
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5
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706
|
July 4, 2023
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What is the correct way to use mixed-precision training with OneCycleLR
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3
|
713
|
June 20, 2023
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How to replace apex.amp by pytorch amp?
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1
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2241
|
June 14, 2023
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Fused mixed precision updates with PyTorch amp
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4
|
1165
|
June 7, 2023
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Fp16 matmul - CUDA kernel output differs from torch
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2
|
984
|
May 31, 2023
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Jetson Nano AMP varied inference time
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0
|
730
|
May 22, 2023
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Gradient Accumulation failing
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2
|
762
|
May 17, 2023
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Why to keep parameters in float32, why not in (b)float16?
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4
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3813
|
May 15, 2023
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Crash in BCEWithLogitsLoss
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7
|
1067
|
April 26, 2023
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Autocast with batch normalization in Pytorch model.eval() returns NaNs
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1
|
1066
|
April 26, 2023
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Can't run inference on FP16 trained model
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4
|
1444
|
April 25, 2023
|
|
NAN of batchnorm in AMP
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8
|
1442
|
April 10, 2023
|
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Assert grad_scale is None and found_inf is None
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4
|
970
|
April 9, 2023
|
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Automatic Mixed Precision increases max memory used by tensors
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|
10
|
2880
|
March 27, 2023
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Scaler.update() - AssertionError: No inf checks were recorded prior to update
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7
|
6159
|
March 23, 2023
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Is torch.float16 different from IEEE754? torch.float16 shows smaller value than 2**(-15)
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1
|
960
|
March 9, 2023
|
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If the model is trained by mixed precision and saved by .half(), are there any accuracy losses between such model and its TRT/ONNX conversion?
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0
|
509
|
March 9, 2023
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How to AMP with BCE that does **not** directly operate on `sigmoid` results
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4
|
1062
|
February 26, 2023
|
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Automatic Mixed Precision with two optimisers that step unevenly
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4
|
3381
|
February 22, 2023
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Calculating upto more decimal places by "linalg.eigh"
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1
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522
|
February 21, 2023
|
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Float128 from numpy
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4
|
2275
|
February 21, 2023
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Mixed precision VQ-VAE makes NaN loss
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11
|
2737
|
February 9, 2023
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