forked from mindspore-Ecosystem/mindspore
!7972 Fix batchnorm infer
Merge pull request !7972 from VectorSL/master
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9b6530e3b3
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@ -108,7 +108,7 @@ class _BatchNorm(Cell):
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self.bn_train = P.FusedBatchNorm(mode=1,
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epsilon=self.eps,
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momentum=self.momentum)
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self.bn_infer = P.BatchNorm(is_training=False, epsilon=self.eps)
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self.bn_infer = P.BatchNorm(is_training=False, epsilon=self.eps, data_format=self.format)
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self.enable_global_sync = self.is_global and (self.is_ge_backend or (self.is_graph_mode and self.is_ascend))
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self.enable_default_train = self.is_graph_mode and not self.is_global and \
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(self.is_ge_backend or self.is_ascend)
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@ -513,7 +513,7 @@ result: {'top_5_accuracy': 0.9342589628681178, 'top_1_accuracy': 0.7680657810499
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| Uploaded Date | 04/01/2020 (month/day/year) | 08/01/2020 (month/day/year) |
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| MindSpore Version | 0.1.0-alpha | 0.6.0-alpha |
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| Dataset | ImageNet2012 | ImageNet2012 |
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| batch_size | 256 | 32 |
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| batch_size | 256 | 256 |
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| outputs | probability | probability |
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| Accuracy | 76.70% | 76.74% |
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| Model for inference | 98M (.air file) | |
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