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Merged
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Dec 2, 2022
Merged

Add op-wise configs back to densenet models #202

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8 changes: 8 additions & 0 deletions examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet121.yaml
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Expand Up @@ -38,6 +38,14 @@ quantization: # optional. tuning constrai
algorithm: minmax
weight:
granularity: per_channel
op_wise: {
'densenet121/MaxPool2D/MaxPool': {
'activation': {'dtype': ['fp32']}
},
'densenet121/transition_block[1-3]/AvgPool2D/AvgPool': {
'activation': {'dtype': ['fp32']},
}
}

evaluation: # optional. required if user doesn't provide eval_func in neural_compressor.Quantization.
accuracy: # optional. required if user doesn't provide eval_func in neural_compressor.Quantization.
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8 changes: 8 additions & 0 deletions examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet161.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,14 @@ quantization: # optional. tuning constrai
algorithm: minmax
weight:
granularity: per_channel
op_wise: {
'densenet161/MaxPool2D/MaxPool': {
'activation': {'dtype': ['fp32']}
},
'densenet161/transition_block[1-3]/AvgPool2D/AvgPool': {
'activation': {'dtype': ['fp32']},
}
}

evaluation: # optional. required if user doesn't provide eval_func in neural_compressor.Quantization.
accuracy: # optional. required if user doesn't provide eval_func in neural_compressor.Quantization.
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8 changes: 8 additions & 0 deletions examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet169.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,14 @@ quantization: # optional. tuning constrai
algorithm: minmax
weight:
granularity: per_channel
op_wise: {
'densenet169/MaxPool2D/MaxPool': {
'activation': {'dtype': ['fp32']}
},
'densenet169/transition_block[1-3]/AvgPool2D/AvgPool': {
'activation': {'dtype': ['fp32']},
}
}

evaluation: # optional. required if user doesn't provide eval_func in neural_compressor.Quantization.
accuracy: # optional. required if user doesn't provide eval_func in neural_compressor.Quantization.
Expand Down