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About the mixed-precision category
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0
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1513
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August 24, 2020
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Half precision training time same as full precision
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2
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19
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September 16, 2024
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Why bf16 do not need loss scaling?
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4
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3064
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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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48
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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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8
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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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7
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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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19
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August 5, 2024
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Fp16 inference time cost
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2
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32
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August 1, 2024
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Is it a good idea to use float16/bfloat16 for inference?
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2
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52
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August 1, 2024
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Why nn.LSTM still use float16 in hidden_state, even if set to bfloat16 or float32 already?
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0
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17
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July 29, 2024
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Prediction is different with or without padding: the model is sensiitive to floating point precision?
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0
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14
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July 26, 2024
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Question about bfloat16 operations in AMP and cuda
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3
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61
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July 11, 2024
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Torch.matmul launch different CUDA kernel from cublas
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2
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88
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July 6, 2024
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Fp16 overflow when computing matmul in autocast context
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5
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1211
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July 5, 2024
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Mixed precision training with transformer embeddings stored in fp16
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0
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78
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June 13, 2024
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Autocast keep cache across multiple forward pass
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0
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105
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June 5, 2024
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Precision 16 run problem
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2
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133
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June 4, 2024
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Torch.save numerical differences
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6
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1638
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May 31, 2024
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AMP during inference
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1
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236
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May 31, 2024
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GradScaler for CPU with AMP
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8
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646
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May 28, 2024
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BFloat16 training - explicit cast vs autocast
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6
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2082
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May 15, 2024
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Alternative to torch.inverse for 16 bit
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2
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1082
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May 6, 2024
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Current CUDA Device does not support bfloat16. Please switch dtype to float16
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1
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1325
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April 26, 2024
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Cuda half2 support
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0
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138
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April 25, 2024
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How much does TORCH.AMP improve performance
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1
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233
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April 22, 2024
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Why bfloat16 matmul is significantly slower than float32?
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0
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287
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April 16, 2024
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No gradient received in mixed precision training
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2
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383
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April 12, 2024
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TF32 flags when using AMP
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3
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236
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April 9, 2024
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What's the use of `scaled_grad_params` in this example of gradient penalty with scaled gradients?
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4
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190
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April 9, 2024
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Bfloat16 from float16 issues
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0
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333
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April 1, 2024
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