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I'm checking tensorflow models from tensorflow models garden at https://github.com/tensorflow/models/tree/master/community.
For community models, there are types and operators which tvm doesn't supported. Most of them are quantize related, and some are not. I really hope these operators could be supported officially and I can check if these models work well.
The details are listed below.
model name
result
inceptionv3_int8
Op type not registered 'QuantizedConcatV2'
inceptionv4_int8
Op type not registered 'QuantizedConcatV2'
mobilenetv1_int8
The following operators are not implemented: {'QuantizeV2', 'Dequantize', 'QuantizedAvgPool', 'QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize', 'QuantizedConv2DWithBiasAndReluAndRequantize', 'QuantizedConv2DWithBiasAndRequantize'}
resnet101_int8
The following operators are not implemented: {'Dequantize', 'QuantizedConv2DWithBiasAndRequantize', 'QuantizeV2', 'QuantizedConv2DWithBiasAndReluAndRequantize', 'QuantizedMaxPool', 'QuantizedConv2DWithBiasSignedSumAndReluAndRequantize', 'QuantizedConv2DWithBiasSumAndReluAndRequantize'}
resnet50_int8
The following operators are not implemented: {'Dequantize', 'QuantizeV2', 'QuantizedConv2DWithBiasSumAndReluAndRequantize', 'QuantizedConv2DWithBiasAndReluAndRequantize', 'QuantizedConv2DWithBiasSignedSumAndReluAndRequantize', 'QuantizedConv2DWithBiasAndRequantize'}
resnet50_v1_5_bfloat16
data type 'bfloat16' not understood
resnet50v1_5_int8
The following operators are not implemented: {'QuantizedConv2DWithBiasAndReluAndRequantize', 'QuantizedConv2DWithBiasSumAndReluAndRequantize', 'QuantizedMaxPool', 'QuantizedConv2DWithBiasSignedSumAndReluAndRequantize', 'Dequantize', 'QuantizeV2', 'QuantizedConv2DWithBiasAndRequantize'}
ssdmobilenet_fp32
The following operators are not implemented: {'CombinedNonMaxSuppression'}
ssdmobilenet_int8
The following operators are not implemented: {'QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize', 'CombinedNonMaxSuppression', 'Dequantize', 'QuantizedConv2DWithBiasAndRequantize', 'QuantizeV2', 'QuantizedConv2DWithBiasAndReluAndRequantize'}
ssd_resnet34_fp32_1200x1200
The following operators are not implemented: {'CombinedNonMaxSuppression'}
ssd_resnet34_int8_bs1
The following operators are not implemented: {'QuantizedConv2DWithBiasSignedSumAndReluAndRequantize', 'QuantizedConv2DWithBiasAndRequantize', 'QuantizedMaxPool', 'QuantizeV2', 'QuantizedConv2DWithBiasAndReluAndRequantize', 'QuantizedConv2DWithBiasSumAndReluAndRequantize', 'Dequantize'}
ssd_resnet34_int8_1200x1200
The following operators are not implemented: {'QuantizeV2', 'QuantizedConv2DWithBiasSignedSumAndReluAndRequantize', 'QuantizedConv2DWithBiasSumAndReluAndRequantize', 'CombinedNonMaxSuppression', 'QuantizedConv2DWithBiasAndReluAndRequantize', 'QuantizedConv2DWithBiasAndRequantize', 'Dequantize', 'QuantizedMaxPool'}
wide_deep_fp32
RuntimeError: Unsupported dtype: int64
wide_deep_int8
The following operators are not implemented: {'QuantizedMatMulWithBias', 'Requantize', 'QuantizedMatMulWithBiasAndReluAndRequantize', 'Dequantize', 'QuantizeV2'}
The text was updated successfully, but these errors were encountered:
I'm checking tensorflow models from tensorflow models garden at https://github.com/tensorflow/models/tree/master/community.
For community models, there are types and operators which tvm doesn't supported. Most of them are quantize related, and some are not. I really hope these operators could be supported officially and I can check if these models work well.
The details are listed below.
The text was updated successfully, but these errors were encountered: