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Commit c4b23773 authored by Fan Yang's avatar Fan Yang Committed by A. Unique TensorFlower
Browse files

Internal change.

PiperOrigin-RevId: 367679732
parent 16fb7d1f
# ResNet-RS-101 ImageNet classification. 80.2% accuracy. # ResNet-RS-101 ImageNet classification. 80.2% top-1 accuracy.
runtime: runtime:
distribution_strategy: 'tpu' distribution_strategy: 'tpu'
mixed_precision_dtype: 'bfloat16' mixed_precision_dtype: 'bfloat16'
......
# ResNet-RS-101 ImageNet classification. 81.3% top-5 accuracy. # ResNet-RS-101 ImageNet classification. 81.3% top-1 accuracy.
runtime: runtime:
distribution_strategy: 'tpu' distribution_strategy: 'tpu'
mixed_precision_dtype: 'bfloat16' mixed_precision_dtype: 'bfloat16'
......
# ResNet-RS-152 ImageNet classification. 81.9% top-5 accuracy. # ResNet-RS-152 ImageNet classification. 81.9% top-1 accuracy.
runtime: runtime:
distribution_strategy: 'tpu' distribution_strategy: 'tpu'
mixed_precision_dtype: 'bfloat16' mixed_precision_dtype: 'bfloat16'
......
# ResNet-RS-152 ImageNet classification. 82.5% top-5 accuracy. # ResNet-RS-152 ImageNet classification. 82.5% top-1 accuracy.
runtime: runtime:
distribution_strategy: 'tpu' distribution_strategy: 'tpu'
mixed_precision_dtype: 'bfloat16' mixed_precision_dtype: 'bfloat16'
......
# ResNet-RS-152 ImageNet classification. 83.1% top-5 accuracy. # ResNet-RS-152 ImageNet classification. 83.1% top-1 accuracy.
runtime: runtime:
distribution_strategy: 'tpu' distribution_strategy: 'tpu'
mixed_precision_dtype: 'bfloat16' mixed_precision_dtype: 'bfloat16'
......
# ResNet-RS-200 ImageNet classification. 83.5% top-5 accuracy. # ResNet-RS-200 ImageNet classification. 83.5% top-1 accuracy.
runtime: runtime:
distribution_strategy: 'tpu' distribution_strategy: 'tpu'
mixed_precision_dtype: 'bfloat16' mixed_precision_dtype: 'bfloat16'
......
# ResNet-RS-270 ImageNet classification. 83.6% top-5 accuracy. # ResNet-RS-270 ImageNet classification. 83.6% top-1 accuracy.
runtime: runtime:
distribution_strategy: 'tpu' distribution_strategy: 'tpu'
mixed_precision_dtype: 'bfloat16' mixed_precision_dtype: 'bfloat16'
......
# ResNet-RS-350 ImageNet classification. 83.7% top-5 accuracy. # ResNet-RS-350 ImageNet classification. 83.7% top-1 accuracy.
runtime: runtime:
distribution_strategy: 'tpu' distribution_strategy: 'tpu'
mixed_precision_dtype: 'bfloat16' mixed_precision_dtype: 'bfloat16'
......
# ResNet-RS-350 ImageNet classification. 84.2% top-5 accuracy. # ResNet-RS-350 ImageNet classification. 84.2% top-1 accuracy.
runtime: runtime:
distribution_strategy: 'tpu' distribution_strategy: 'tpu'
mixed_precision_dtype: 'bfloat16' mixed_precision_dtype: 'bfloat16'
......
# ResNet-RS-50 ImageNet classification. 79.1% top-5 accuracy. # ResNet-RS-50 ImageNet classification. 79.1% top-1 accuracy.
runtime: runtime:
distribution_strategy: 'tpu' distribution_strategy: 'tpu'
mixed_precision_dtype: 'bfloat16' mixed_precision_dtype: 'bfloat16'
......
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