Add AMP to ImageNet classification and segmentation scripts + auto layout #1201
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Kh4L
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Job PR-1201-3 is done. |
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| assert not opt.auto_layout or opt.amp, "--auto-layout needs to be used with --amp" | ||
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| if opt.amp: | ||
| amp.init(layout_optimization=opt.auto_layout) |
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Referring to definition of amp.init() here, seems there is no argument like layout_optimization ?
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It's an internal feature, it will be added soon
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Thanks for clarification.
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Just curiously, when setting both --amp and --dtype float16, what will be happening?
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Job PR-1201-9 is done. |
| @@ -105,6 +106,10 @@ def parse_args(): | |||
| help='name of training log file') | |||
| parser.add_argument('--use-gn', action='store_true', | |||
| help='whether to use group norm.') | |||
| parser.add_argument('--amp', action='store_true', | |||
| help='Use MXNet AMP for mixed precision training.') | |||
| parser.add_argument('--auto-layout', action='store_true', | |||
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Could you also add an option like --target-dtype since now we not only have float16 for amp, but bfloat16. Then, we can pass target-dtype to amp.init() to enable float16/bfloat16 training for GPU and CPU respectively. Thanks.
| if opt.resume_states is not '': | ||
| trainer.load_states(opt.resume_states) | ||
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| if opt.amp: |
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Here may need change to if opt.amp and opt.target_dtype == 'float16':
| @@ -404,8 +417,13 @@ def train(ctx): | |||
| p.astype('float32', copy=False)) for yhat, y, p in zip(outputs, label, teacher_prob)] | |||
| else: | |||
| loss = [L(yhat, y.astype(opt.dtype, copy=False)) for yhat, y in zip(outputs, label)] | |||
| for l in loss: | |||
| l.backward() | |||
| if opt.amp: | |||
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Here may need change to if opt.amp and opt.target_dtype == 'float16':
| @@ -210,7 +216,12 @@ def __init__(self, args, logger): | |||
| v.wd_mult = 0.0 | |||
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| self.optimizer = gluon.Trainer(self.net.module.collect_params(), args.optimizer, | |||
| optimizer_params, kvstore=kv) | |||
| optimizer_params, update_on_kvstore=(False if args.amp else None)) | |||
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May I know why kvstore=kv is deleted? Could you add it back? Thanks.
| @@ -95,6 +96,11 @@ def parse_args(): | |||
| # synchronized Batch Normalization | |||
| parser.add_argument('--syncbn', action='store_true', default=False, | |||
| help='using Synchronized Cross-GPU BatchNorm') | |||
| # performance related | |||
| parser.add_argument('--amp', action='store_true', | |||
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We usually add default=False for arguments. Could you add it? Thank you.
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@Kh4L any update on this PR? |
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@Kh4L Any update for this? BTW, do you have numbers for the improvement? |
Signed-off-by: Serge Panev <[email protected]>
Signed-off-by: Serge Panev <[email protected]>
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Signed-off-by: Serge Panev [email protected]