microsoft-speecht5_tts-ONNX / quantize_config.json
eligapris's picture
Upload ONNX model with documentation
99a8ecf verified
raw
history blame
3.07 kB
{
"per_channel": true,
"reduce_range": true,
"per_model_config": {
"encoder_model": {
"op_types": [
"Div",
"Erf",
"Add",
"Slice",
"Unsqueeze",
"ConstantOfShape",
"Range",
"ReduceMean",
"Sub",
"Equal",
"Reshape",
"Shape",
"Gather",
"Mul",
"Pow",
"Expand",
"Less",
"Transpose",
"Sqrt",
"Constant",
"Concat",
"Cast",
"Softmax",
"MatMul",
"Not",
"Where"
],
"weight_type": "QInt8"
},
"decoder_model": {
"op_types": [
"Div",
"Erf",
"Relu",
"Add",
"Slice",
"Unsqueeze",
"Greater",
"Clip",
"ConstantOfShape",
"ReduceL2",
"ReduceMean",
"Sub",
"Equal",
"Reshape",
"RandomUniformLike",
"Sigmoid",
"Shape",
"Gather",
"Mul",
"Transpose",
"Expand",
"Pow",
"Sqrt",
"Constant",
"Concat",
"Cast",
"Softmax",
"MatMul",
"Where"
],
"weight_type": "QInt8"
},
"decoder_with_past_model": {
"op_types": [
"Div",
"Erf",
"Relu",
"Add",
"Slice",
"Unsqueeze",
"Greater",
"Clip",
"ConstantOfShape",
"ReduceL2",
"ReduceMean",
"Sub",
"Equal",
"Reshape",
"RandomUniformLike",
"Sigmoid",
"Shape",
"Gather",
"Mul",
"Transpose",
"Expand",
"Pow",
"Sqrt",
"Constant",
"Concat",
"Cast",
"Softmax",
"MatMul",
"Where"
],
"weight_type": "QInt8"
},
"decoder_postnet_and_vocoder": {
"op_types": [
"ConvTranspose",
"Squeeze",
"Div",
"Constant",
"Tanh",
"Add",
"LeakyRelu",
"Sub",
"Conv",
"Transpose",
"Unsqueeze",
"Reshape"
],
"weight_type": "QUInt8"
}
}
}