Model distillation with mixed-precision training
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4
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398
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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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425
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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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448
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September 22, 2023
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Is autocast expected to reflect changes to weights?
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1
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386
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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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1353
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September 11, 2023
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Gradients type in torch.cuda.amp
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3
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533
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August 22, 2023
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Torch autocast's gradient
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3
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623
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August 21, 2023
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Scaler.step(optimizer) in FP16 or FP32?
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1
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571
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August 2, 2023
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Amp on cpu 50x slower and high memory allocation
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0
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409
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August 1, 2023
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Why the loss_scale getting smaller and smaller?
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1
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463
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July 17, 2023
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Dataset half precision
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1
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419
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July 11, 2023
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Cudnn.allow_tf32 makes my network slower
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5
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560
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July 4, 2023
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Fp16 overflow when computing matmul in autocast context
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1
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896
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July 3, 2023
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What is the correct way to use mixed-precision training with OneCycleLR
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3
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570
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June 20, 2023
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How to replace apex.amp by pytorch amp?
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1
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1773
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June 14, 2023
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Fused mixed precision updates with PyTorch amp
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4
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869
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June 7, 2023
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Fp16 matmul - CUDA kernel output differs from torch
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2
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749
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May 31, 2023
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Jetson Nano AMP varied inference time
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0
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653
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May 22, 2023
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Gradient Accumulation failing
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2
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648
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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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2513
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May 15, 2023
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Crash in BCEWithLogitsLoss
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7
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828
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April 26, 2023
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Autocast with batch normalization in Pytorch model.eval() returns NaNs
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1
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825
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April 26, 2023
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Can't run inference on FP16 trained model
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4
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1192
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April 25, 2023
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NAN of batchnorm in AMP
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8
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1236
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April 10, 2023
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Assert grad_scale is None and found_inf is None
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4
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820
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April 9, 2023
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Why bf16 do not need loss scaling?
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3
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2264
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April 4, 2023
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Automatic Mixed Precision increases max memory used by tensors
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10
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2633
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March 27, 2023
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Scaler.update() - AssertionError: No inf checks were recorded prior to update
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7
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5444
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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
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780
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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
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463
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March 9, 2023
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