ValueError: ('cannot find tensor Size', torch.Size([16, 16, 320, 320]))

[return-sleep]

when I try to transform ann to snn ,some problems occurred:

$ python3 ann_to_snn.py --cfg cfg/yolov3-tiny.cfg --data data/coco.data --weights weights/best.pt --timesteps 128Namespace(augment=False, batch_size=16,

Model Summary: 37 layers, 8.85237e+06 parameters, 8.85237e+06 gradients add node conv1: ['dag_input0']->['conv1_out1'] Traceback (most recent call last): File "ann_to_snn.py", line 178, in transformer.inference_get_status(dataloader, opt.statistics_iters) File "PyTorch-Spiking-YOLOv3/spiking_utils/snn_transformer.py", line 94, in inference_get_status self.init_dag([data]) File "PyTorch-Spiking-YOLOv3/spiking_utils/snn_transformer.py", line 69, in init_dag self.snn_dag = ann_parser.parse_ann_model(self.original_net, inputs) File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 221, in parse_ann_model model(warpped_input) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(input, kwargs) File "ann_to_snn.py", line 53, in forward x = self.listi File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, *kwargs) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/container.py", line 117, in forward input = module(input) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(input, kwargs) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 423, in forward return self._conv_forward(input, self.weight) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 420, in _conv_forward self.padding, self.dilation, self.groups) File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 69, in conv2d_wrapper in_nodes = [find_node_by_tensor(inp)] File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 10, in find_node_by_tensor raise ValueError("cannot find tensor Size", tensor.size()) ValueError: ('cannot find tensor Size', torch.Size([16, 16, 320, 320]))

[cwq159]

font{
    line-height: 1.6;
}
ul,ol{
    padding-left: 20px;
    list-style-position: inside;
}

You can’t directly transform yolov3-tiny.cfg, please refer to readme.md carefully.

                            Weiqian Chen

                                cwq@pku.edu.cn

    签名由
    网易邮箱大师
    定制

On 12/28/2020 16:53，return-sleep<notifications@github.com> wrote： 

when I try to transform ann to snn ,some problems occurred: $ python3 ann_to_snn.py --cfg cfg/yolov3-tiny.cfg --data data/coco.data --weights weights/best.pt --timesteps 128Namespace(augment=False, batch_size=16, Model Summary: 37 layers, 8.85237e+06 parameters, 8.85237e+06 gradients add node conv1: ['dag_input0']->['conv1_out1'] Traceback (most recent call last): File "ann_to_snn.py", line 178, in transformer.inference_get_status(dataloader, opt.statistics_iters) File "PyTorch-Spiking-YOLOv3/spiking_utils/snn_transformer.py", line 94, in inference_get_status self.init_dag([data]) File "PyTorch-Spiking-YOLOv3/spiking_utils/snn_transformer.py", line 69, in init_dag self.snn_dag = ann_parser.parse_ann_model(self.original_net, inputs) File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 221, in parse_ann_model model(warpped_input) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(input, kwargs) File "ann_to_snn.py", line 53, in forward x = self.listi File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, *kwargs) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/container.py", line 117, in forward input = module(input) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(input, kwargs) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 423, in forward return self._conv_forward(input, self.weight) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 420, in _conv_forward self.padding, self.dilation, self.groups) File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 69, in conv2d_wrapper in_nodes = [find_node_by_tensor(inp)] File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 10, in find_node_by_tensor raise ValueError("cannot find tensor Size", tensor.size()) ValueError: ('cannot find tensor Size', torch.Size([16, 16, 320, 320]))

—You are receiving this because you are subscribed to this thread.Reply to this email directly, view it on GitHub, or unsubscribe.

[hjp-muser]

@return-sleep Have you solve the problem ? When transforming ann to snn, the same error happens even the author's cfg file is used.

[cwq159]

font{
    line-height: 1.6;
}
ul,ol{
    padding-left: 20px;
    list-style-position: inside;
}

    Please use PyTorch1.3

                            Weiqian Chen

                                cwq@pku.edu.cn

    签名由
    网易邮箱大师
    定制

On 12/28/2020 16:53，return-sleep<notifications@github.com> wrote： 

when I try to transform ann to snn ,some problems occurred: $ python3 ann_to_snn.py --cfg cfg/yolov3-tiny.cfg --data data/coco.data --weights weights/best.pt --timesteps 128Namespace(augment=False, batch_size=16, Model Summary: 37 layers, 8.85237e+06 parameters, 8.85237e+06 gradients add node conv1: ['dag_input0']->['conv1_out1'] Traceback (most recent call last): File "ann_to_snn.py", line 178, in transformer.inference_get_status(dataloader, opt.statistics_iters) File "PyTorch-Spiking-YOLOv3/spiking_utils/snn_transformer.py", line 94, in inference_get_status self.init_dag([data]) File "PyTorch-Spiking-YOLOv3/spiking_utils/snn_transformer.py", line 69, in init_dag self.snn_dag = ann_parser.parse_ann_model(self.original_net, inputs) File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 221, in parse_ann_model model(warpped_input) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(input, kwargs) File "ann_to_snn.py", line 53, in forward x = self.listi File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, *kwargs) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/container.py", line 117, in forward input = module(input) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(input, kwargs) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 423, in forward return self._conv_forward(input, self.weight) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 420, in _conv_forward self.padding, self.dilation, self.groups) File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 69, in conv2d_wrapper in_nodes = [find_node_by_tensor(inp)] File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 10, in find_node_by_tensor raise ValueError("cannot find tensor Size", tensor.size()) ValueError: ('cannot find tensor Size', torch.Size([16, 16, 320, 320]))

—You are receiving this because you are subscribed to this thread.Reply to this email directly, view it on GitHub, or unsubscribe.

[cwq159]

Please use PyTorch1.3

[yult0821]

@return-sleep Have you solve the problem ? When transforming ann to snn, the same error happens even the author's cfg file is used.

Hi, have you solved the problem by using PyTorch1.3? @return-sleep Dear author, is there any other method that may conquer this problem? @cwq159 Any help will be appreciated. Thanks very much!

[yult0821]

@return-sleep Have you solve the problem ? When transforming ann to snn, the same error happens even the author's cfg file is used.

Hi, have you solved the problem by using PyTorch1.3? @return-sleep Dear author, is there any other method that may conquer this problem? @cwq159 Any help will be appreciated. Thanks very much!

When trying PyTorch1.3, another error occurred, which I think is more version-dependent.

Traceback (most recent call last):
  File "/opt/conda/lib/python3.6/tarfile.py", line 189, in nti
    n = int(s.strip() or "0", 8)
ValueError: invalid literal for int() with base 8: 'ndarray'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/conda/lib/python3.6/tarfile.py", line 2297, in next
    tarinfo = self.tarinfo.fromtarfile(self)
  File "/opt/conda/lib/python3.6/tarfile.py", line 1093, in fromtarfile
    obj = cls.frombuf(buf, tarfile.encoding, tarfile.errors)
  File "/opt/conda/lib/python3.6/tarfile.py", line 1035, in frombuf
    chksum = nti(buf[148:156])
  File "/opt/conda/lib/python3.6/tarfile.py", line 191, in nti
    raise InvalidHeaderError("invalid header")
tarfile.InvalidHeaderError: invalid header

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 595, in _load
    return legacy_load(f)
  File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 506, in legacy_load
    with closing(tarfile.open(fileobj=f, mode='r:', format=tarfile.PAX_FORMAT)) as tar, \
  File "/opt/conda/lib/python3.6/tarfile.py", line 1589, in open
    return func(name, filemode, fileobj, **kwargs)
  File "/opt/conda/lib/python3.6/tarfile.py", line 1619, in taropen
    return cls(name, mode, fileobj, **kwargs)
  File "/opt/conda/lib/python3.6/tarfile.py", line 1482, in __init__
    self.firstmember = self.next()
  File "/opt/conda/lib/python3.6/tarfile.py", line 2309, in next
    raise ReadError(str(e))
tarfile.ReadError: invalid header

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "ann_to_snn.py", line 147, in <module>
    ckpt = torch.load(weights, map_location=device)
  File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 426, in load
    return _load(f, map_location, pickle_module, **pickle_load_args)
  File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 599, in _load
    raise RuntimeError("{} is a zip archive (did you mean to use torch.jit.load()?)".format(f.name))
RuntimeError: weights/best.pt is a zip archive (did you mean to use torch.jit.load()?)

[yult0821]

@return-sleep Have you solve the problem ? When transforming ann to snn, the same error happens even the author's cfg file is used.

Hi, have you solved the problem by using PyTorch1.3? @return-sleep Dear author, is there any other method that may conquer this problem? @cwq159 Any help will be appreciated. Thanks very much!

When trying PyTorch1.3, another error occurred, which I think is more version-dependent.

Traceback (most recent call last):
  File "/opt/conda/lib/python3.6/tarfile.py", line 189, in nti
    n = int(s.strip() or "0", 8)
ValueError: invalid literal for int() with base 8: 'ndarray'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/conda/lib/python3.6/tarfile.py", line 2297, in next
    tarinfo = self.tarinfo.fromtarfile(self)
  File "/opt/conda/lib/python3.6/tarfile.py", line 1093, in fromtarfile
    obj = cls.frombuf(buf, tarfile.encoding, tarfile.errors)
  File "/opt/conda/lib/python3.6/tarfile.py", line 1035, in frombuf
    chksum = nti(buf[148:156])
  File "/opt/conda/lib/python3.6/tarfile.py", line 191, in nti
    raise InvalidHeaderError("invalid header")
tarfile.InvalidHeaderError: invalid header

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 595, in _load
    return legacy_load(f)
  File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 506, in legacy_load
    with closing(tarfile.open(fileobj=f, mode='r:', format=tarfile.PAX_FORMAT)) as tar, \
  File "/opt/conda/lib/python3.6/tarfile.py", line 1589, in open
    return func(name, filemode, fileobj, **kwargs)
  File "/opt/conda/lib/python3.6/tarfile.py", line 1619, in taropen
    return cls(name, mode, fileobj, **kwargs)
  File "/opt/conda/lib/python3.6/tarfile.py", line 1482, in __init__
    self.firstmember = self.next()
  File "/opt/conda/lib/python3.6/tarfile.py", line 2309, in next
    raise ReadError(str(e))
tarfile.ReadError: invalid header

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "ann_to_snn.py", line 147, in <module>
    ckpt = torch.load(weights, map_location=device)
  File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 426, in load
    return _load(f, map_location, pickle_module, **pickle_load_args)
  File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 599, in _load
    raise RuntimeError("{} is a zip archive (did you mean to use torch.jit.load()?)".format(f.name))
RuntimeError: weights/best.pt is a zip archive (did you mean to use torch.jit.load()?)

I found that the above error was due to "using pytorch1.3 to load .pt file saved by ptorch1.8". (RuntimeError: weights/best.pt is a zip archive) Therefore, using Pytorch1.3 works fine for ann_to_snn.py. Thanks very much.

[cwq159]

font{
    line-height: 1.6;
}
ul,ol{
    padding-left: 20px;
    list-style-position: inside;
}

    pytorch1.3 with python3.7 may be useful.

                            cwq

                                ***@***.***

    签名由
    网易邮箱大师
    定制

On 04/9/2021 ***@***.***> wrote： 

@return-sleep Have you solve the problem ? When transforming ann to snn, the same error happens even the author's cfg file is used.

Hi, have you solved the problem by using PyTorch1.3? @return-sleep Dear author, is there any other method that may conquer this problem? @cwq159 Any help will be appreciated. Thanks very much!

When trying PyTorch1.3, another error occurred, which I think is more version-dependent. Traceback (most recent call last): File "/opt/conda/lib/python3.6/tarfile.py", line 189, in nti n = int(s.strip() or "0", 8) ValueError: invalid literal for int() with base 8: 'ndarray'

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/opt/conda/lib/python3.6/tarfile.py", line 2297, in next tarinfo = self.tarinfo.fromtarfile(self) File "/opt/conda/lib/python3.6/tarfile.py", line 1093, in fromtarfile obj = cls.frombuf(buf, tarfile.encoding, tarfile.errors) File "/opt/conda/lib/python3.6/tarfile.py", line 1035, in frombuf chksum = nti(buf[148:156]) File "/opt/conda/lib/python3.6/tarfile.py", line 191, in nti raise InvalidHeaderError("invalid header") tarfile.InvalidHeaderError: invalid header

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 595, in _load return legacy_load(f) File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 506, in legacy_load with closing(tarfile.open(fileobj=f, mode='r:', format=tarfile.PAX_FORMAT)) as tar, \ File "/opt/conda/lib/python3.6/tarfile.py", line 1589, in open return func(name, filemode, fileobj, kwargs) File "/opt/conda/lib/python3.6/tarfile.py", line 1619, in taropen return cls(name, mode, fileobj, kwargs) File "/opt/conda/lib/python3.6/tarfile.py", line 1482, in init self.firstmember = self.next() File "/opt/conda/lib/python3.6/tarfile.py", line 2309, in next raise ReadError(str(e)) tarfile.ReadError: invalid header

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "ann_to_snn.py", line 147, in ckpt = torch.load(weights, map_location=device) File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 426, in load return _load(f, map_location, pickle_module, **pickle_load_args) File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 599, in _load raise RuntimeError("{} is a zip archive (did you mean to use torch.jit.load()?)".format(f.name)) RuntimeError: weights/best.pt is a zip archive (did you mean to use torch.jit.load()?)

I found that the above error was due to "using pytorch1.3 to load .pt file saved by ptorch1.8". (RuntimeError: weights/best.pt is a zip archive) Therefore, using Pytorch1.3 works fine for ann_to_snn.py. Thanks very much.

—You are receiving this because you were mentioned.Reply to this email directly, view it on GitHub, or unsubscribe.

[buaa-luzhi]

@cwq159 Hello, I ran into the same problem but couldn't find Pytorch=1.3. I tried PyTorch =1.4 and still couldn't solve it. Can you give me some more advice.

Thanks so much!

[QianpengLi577]

@cwq159 Hello, I ran into the same problem but couldn't find Pytorch=1.3. I tried PyTorch =1.4 and still couldn't solve it. Can you give me some more advice.

Thanks so much!

PyTorch 1.5 with python3.7 work fine

[LittleRain626]

pytorch1.6.0 python3.7.13 不会报错

[chenyi-real]

when I try to transform ann to snn ,some problems occurred:

$ python3 ann_to_snn.py --cfg cfg/yolov3-tiny.cfg --data data/coco.data --weights weights/best.pt --timesteps 128Namespace(augment=False, batch_size=16,

Model Summary: 37 layers, 8.85237e+06 parameters, 8.85237e+06 gradients add node conv1: ['dag_input0']->['conv1_out1'] Traceback (most recent call last): File "ann_to_snn.py", line 178, in transformer.inference_get_status(dataloader, opt.statistics_iters) File "PyTorch-Spiking-YOLOv3/spiking_utils/snn_transformer.py", line 94, in inference_get_status self.init_dag([data]) File "PyTorch-Spiking-YOLOv3/spiking_utils/snn_transformer.py", line 69, in init_dag self.snn_dag = ann_parser.parse_ann_model(self.original_net, inputs) File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 221, in parse_ann_model model(warpped_input) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(input, kwargs) File "ann_to_snn.py", line 53, in forward x = self.listi File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, *kwargs) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/container.py", line 117, in forward input = module(input) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(input, kwargs) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 423, in forward return self._conv_forward(input, self.weight) File "anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 420, in _conv_forward self.padding, self.dilation, self.groups) File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 69, in conv2d_wrapper in_nodes = [find_node_by_tensor(inp)] File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 10, in find_node_by_tensor raise ValueError("cannot find tensor Size", tensor.size()) ValueError: ('cannot find tensor Size', torch.Size([16, 16, 320, 320]))

Have you solved this problem?

[CY716818]

当我尝试将 Ann 转换为 SNN 时，出现了一些问题：

$ python3 ann_to_snn.py --cfg cfg/yolov3-tiny.cfg --data data/coco.data --weights weights/best.pt --timesteps 128Namespace（augment=False， batch_size=16，

模型摘要：37 层，8.85237e+06 参数，8.85237e+06 梯度 添加节点 conv1： ['dag_input0']->['conv1_out1'] 回溯（最近一次调用）：文件 “ann_to_snn.py”，第 178 行，transformer.inference_get_status（数据加载器，opt.statistics_iters） 文件“PyTorch-Spiking-YOLOv3/spiking_utils/snn_transformer.py”，第 94 行，inference_get_status self.init_dag（[data]）文件 “PyTorch-Spiking-YOLOv3/spiking_utils/snn_transformer.py”，第 69 行，init_dag self.snn_dag = ann_parser.parse_ann_model（self.original_net， inputs） 文件 “PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py”，第 221 行，在 parse_ann_model model（warpped_input） 中 文件 “anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py”，第 727 行，在 _call_impl result = self.forward（input， kwargs）文件 “ann_to_snn.py”，第 53 行，在 forward x = self.listi 文件中 “anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py”，第 727 行，结果_call_impl = self.forward（*input， *kwargs） 文件 “anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/container.py”，第 117 行，在 forward input = module（input）文件 “anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/module.py”，第 727 行，在 _call_impl result = self.forward（input， kwargs） 文件 “anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/conv.py”，第 423 行，在正向返回中 self._conv_forward（input， self.weight） 文件 “anaconda3/envs/spikeyolo/lib/python3.7/site-packages/torch/nn/modules/conv.py”，第 420 行，_conv_forward self.padding， self.dilation， self.groups） 文件 “PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py”，第 69 行，conv2d_wrapper in_nodes = [find_node_by_tensor（inp）] 文件 “PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py”，第 10 行，find_node_by_tensor 提高 ValueError（“找不到张量大小”，tensor.size（）） ValueError：（“找不到张量大小”，火炬。尺寸（[16， 16， 320， 320]））

您好 ，请问现在这个问题您解决了吗

[jsckdon]

Has anyone solved the problem above