Hi, @Vasiliy_Kuznetsov   I updated my pytorch to nightly(Version: 1.7.0a0+60665ac).
But when I try to convert my model, I get error:

Traceback (most recent call last):
File “pose_estimation/quantized.py”, line 67, in 
main()
File “pose_estimation/quantized.py”, line 61, in main
torch.quantization.convert(model, inplace = True)
File “/home/yjwen/local/lib/python3.8/site-packages/torch/quantization/quantize.py”, line 414, in convert
_convert(module, mapping, inplace=True)
File “/home/yjwen/local/lib/python3.8/site-packages/torch/quantization/quantize.py”, line 458, in _convert
_convert(mod, mapping, inplace=True)
File “/home/yjwen/local/lib/python3.8/site-packages/torch/quantization/quantize.py”, line 459, in _convert
reassign[name] = swap_module(mod, mapping)
File “/home/yjwen/local/lib/python3.8/site-packages/torch/quantization/quantize.py”, line 485, in swap_module
new_mod = mapping[type(mod)].from_float(mod)
File “/home/yjwen/local/lib/python3.8/site-packages/torch/nn/quantized/modules/conv.py”, line 507, in from_float
qconv = cls(mod.in_channels, mod.out_channels, mod.kernel_size,
File “/home/yjwen/local/lib/python3.8/site-packages/torch/nn/quantized/modules/conv.py”, line 641, in init
super(ConvTranspose2d, self).init(
File “/home/yjwen/local/lib/python3.8/site-packages/torch/nn/quantized/modules/conv.py”, line 476, in init
super(_ConvTransposeNd, self).init(
File “/home/yjwen/local/lib/python3.8/site-packages/torch/nn/quantized/modules/conv.py”, line 53, in init
self.set_weight_bias(qweight, bias_float)
File “/home/yjwen/local/lib/python3.8/site-packages/torch/nn/quantized/modules/conv.py”, line 650, in set_weight_bias
self._packed_params = torch.ops.quantized.conv_transpose2d_prepack(
RuntimeError: FBGEMM doesn’t support transpose packing yet!

Did I miss anything(maybe some special that I need to do before quantized conv transpose) or this is a bug?
Thanks