You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I made a few modification for yolov7-tiny ( Use a new kind of activation function ),
But there comes a new problem just like below.
######## below are the error message:
Traceback (most recent call last):
File "/home/si2/YuRen/yolov7/yolov7_qat/scripts/qat.py", line 319, in
cmd_quantize(
File "/home/si2/YuRen/yolov7/yolov7_qat/scripts/qat.py", line 161, in cmd_quantize
quantize.calibrate_model(model, train_dataloader, device)
File "/home/si2/YuRen/yolov7/yolov7_qat/scripts/quantize.py", line 292, in calibrate_model
collect_stats(model, dataloader, device, num_batch=num_batch)
File "/home/si2/YuRen/yolov7/yolov7_qat/scripts/quantize.py", line 273, in collect_stats
output = model(imgs)
^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/YuRen/yolov7/models/yolo.py", line 606, in forward
return self.forward_once(x, profile) # single-scale inference, train
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/YuRen/yolov7/models/yolo.py", line 632, in forward_once
x = m(x) # run
^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/YuRen/yolov7/models/common.py", line 129, in fuseforward
return self.act(self.conv(x))
^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/pytorch_quantization/nn/modules/ quant_conv.py", line 125, in forward
quant_input, quant_weight = self._quant(input)
^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/pytorch_quantization/nn/modules/ quant_conv.py", line 85, in _quant
quant_input = self._input_quantizer(input)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/pytorch_quantization/nn/modules/ tensor_quantizer.py", line 338, in forward
self._calibrator.collect(inputs)
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/pytorch_quantization/calib/histo gram.py", line 109, in collect
self._calib_hist = torch.histc(x, bins=self._num_bins, min=0, max=x_max)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: range of [0, nan] is not finite
########
How do I solve this question about the "Nan" value ?
The text was updated successfully, but these errors were encountered:
I made a few modification for yolov7-tiny ( Use a new kind of activation function ),
But there comes a new problem just like below.
######## below are the error message:
Traceback (most recent call last):
File "/home/si2/YuRen/yolov7/yolov7_qat/scripts/qat.py", line 319, in
cmd_quantize(
File "/home/si2/YuRen/yolov7/yolov7_qat/scripts/qat.py", line 161, in cmd_quantize
quantize.calibrate_model(model, train_dataloader, device)
File "/home/si2/YuRen/yolov7/yolov7_qat/scripts/quantize.py", line 292, in calibrate_model
collect_stats(model, dataloader, device, num_batch=num_batch)
File "/home/si2/YuRen/yolov7/yolov7_qat/scripts/quantize.py", line 273, in collect_stats
output = model(imgs)
^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/YuRen/yolov7/models/yolo.py", line 606, in forward
return self.forward_once(x, profile) # single-scale inference, train
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/YuRen/yolov7/models/yolo.py", line 632, in forward_once
x = m(x) # run
^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/YuRen/yolov7/models/common.py", line 129, in fuseforward
return self.act(self.conv(x))
^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/pytorch_quantization/nn/modules/ quant_conv.py", line 125, in forward
quant_input, quant_weight = self._quant(input)
^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/pytorch_quantization/nn/modules/ quant_conv.py", line 85, in _quant
quant_input = self._input_quantizer(input)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/torch/nn/modules/module.py", lin e 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/pytorch_quantization/nn/modules/ tensor_quantizer.py", line 338, in forward
self._calibrator.collect(inputs)
File "/home/si2/anaconda3/envs/YuRen1/lib/python3.11/site-packages/pytorch_quantization/calib/histo gram.py", line 109, in collect
self._calib_hist = torch.histc(x, bins=self._num_bins, min=0, max=x_max)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: range of [0, nan] is not finite
########
How do I solve this question about the "Nan" value ?
The text was updated successfully, but these errors were encountered: