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chunmeifeng
RuntimeError: tensorflow/compiler/xla/xla_client/computation_client.cc:274 : Missing XLA configuration
Following the previous issue (https://github.com/chunmeifeng/T2Net/issues/1) updates. I am faced with the above mentioned runtime error. This happens when I run the code in the GPU runtime. The stack-trace is as follows:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 30, in inner_f
queue.put(func(*args, **kwargs))
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 81, in _is_device_tpu
device = xm.xla_device()
File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 231, in xla_device
devkind=devkind if devkind is not None else None)
File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 136, in get_xla_supported_devices
xla_devices = _DEVICES.value
File "/usr/local/lib/python3.7/dist-packages/torch_xla/utils/utils.py", line 32, in value
self._value = self._gen_fn()
File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 18, in <lambda>
_DEVICES = xu.LazyProperty(lambda: torch_xla._XLAC._xla_get_devices())
RuntimeError: tensorflow/compiler/xla/xla_client/computation_client.cc:274 : Missing XLA configuration
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 30, in inner_f
queue.put(func(*args, **kwargs))
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 81, in _is_device_tpu
device = xm.xla_device()
File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 231, in xla_device
devkind=devkind if devkind is not None else None)
File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 136, in get_xla_supported_devices
xla_devices = _DEVICES.value
File "/usr/local/lib/python3.7/dist-packages/torch_xla/utils/utils.py", line 32, in value
self._value = self._gen_fn()
File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 18, in <lambda>
_DEVICES = xu.LazyProperty(lambda: torch_xla._XLAC._xla_get_devices())
RuntimeError: tensorflow/compiler/xla/xla_client/computation_client.cc:274 : Missing XLA configuration
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 30, in inner_f
queue.put(func(*args, **kwargs))
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 81, in _is_device_tpu
device = xm.xla_device()
File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 231, in xla_device
devkind=devkind if devkind is not None else None)
File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 136, in get_xla_supported_devices
xla_devices = _DEVICES.value
File "/usr/local/lib/python3.7/dist-packages/torch_xla/utils/utils.py", line 32, in value
self._value = self._gen_fn()
File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 18, in <lambda>
_DEVICES = xu.LazyProperty(lambda: torch_xla._XLAC._xla_get_devices())
RuntimeError: tensorflow/compiler/xla/xla_client/computation_client.cc:274 : Missing XLA configuration
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 30, in inner_f
queue.put(func(*args, **kwargs))
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 81, in _is_device_tpu
device = xm.xla_device()
File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 231, in xla_device
devkind=devkind if devkind is not None else None)
File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 136, in get_xla_supported_devices
xla_devices = _DEVICES.value
File "/usr/local/lib/python3.7/dist-packages/torch_xla/utils/utils.py", line 32, in value
self._value = self._gen_fn()
File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 18, in <lambda>
_DEVICES = xu.LazyProperty(lambda: torch_xla._XLAC._xla_get_devices())
RuntimeError: tensorflow/compiler/xla/xla_client/computation_client.cc:274 : Missing XLA configuration
This should be noted that the above error goes away if I change the runtime to TPU. However, the rest of the code seems to be dependent on GPU runtime.
What am I doing wrong?
Please make sure use the version of pytorchlighting that we have recommended. The IXI is a public dataset, you can obtained from http://brain-development. org/ixi-dataset/. However, the clinical dataset cannot be public because it involves patient privacy.
@chunmeifeng Thank you for your response. I am using your recommended version of every package. However, to make it compatible with the GPU, I am using/installing the packages with the following scripts
!pip install numpy==1.18.5 scikit_image==0.16.2 runstats==1.8.0 pytorch_lightning==1.0.6 h5py==2.10.0 PyYAML==5.4
!pip install torch==1.7.0+cu101 torchvision==0.8.1+cu101 -f https://download.pytorch.org/whl/torch_stable.html
!pip install torchtext==0.8
!pip install cloud-tpu-client==0.10 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.7-cp37-cp37m-linux_x86_64.whl
Please let me know if this is the right way to run the code on Google Colab.
Also, if you would shed light on the exact pre-processing steps and any other useful information that might be required to re-implement this, and that's not already shared by you in your paper, please help me with that. Thank you.
Is the code running yet? You must use the pytorchlighting version that we have recommend, I have tried that will some error if you use other version.
Amit Sharma @.***> 于2021年7月5日周一 上午4:31写道：
@chunmeifeng https://github.com/chunmeifeng Thank you for your response. I am using your recommended version of every package. However, to make it compatible with the GPU, I am using/installing the packages with the following scripts
!pip install numpy==1.18.5 scikit_image==0.16.2 runstats==1.8.0 pytorch_lightning==1.0.6 h5py==2.10.0 PyYAML==5.4 !pip install torch==1.7.0+cu101 torchvision==0.8.1+cu101 -f https://download.pytorch.org/whl/torch_stable.html !pip install torchtext==0.8 !pip install cloud-tpu-client==0.10 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.7-cp37-cp37m-linux_x86_64.whl
Please let me know if this is the right way to run the code on Google Colab.
Also, if you would shed light on the exact pre-processing steps and any other useful information that might be required to re-implement this, and that's not already shared by you in your paper, please help me with that. Thank you.
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-873697308, or unsubscribe https://github.com/notifications/unsubscribe-auth/AR75XN7UXXCK3C3QW7TVWJ3TWD4NPANCNFSM47WZRS5Q .
@chunmeifeng No, I am still not able to run the code. I am using the recommended version of pytorchlightening == 1.0.6.
Also, if you would shed light on the exact pre-processing steps and any other useful information that might be required to re-implement this, and that's not already shared by you in your paper, please help me with that. Thank you.
Would you please comment on the above as well?
can you tell me which error when you run the code？
Amit Sharma @.***> 于 2021年7月6日周二 下午5:19写道：
@chunmeifeng https://github.com/chunmeifeng No, I am still not able to run the code. I am using the recommended version of pytorchlightening == 1.0.6.
Also, if you would shed light on the exact pre-processing steps and any other useful information that might be required to re-implement this, and that's not already shared by you in your paper, please help me with that. Thank you.
Would you please comment on the above as well?
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-874753366, or unsubscribe https://github.com/notifications/unsubscribe-auth/AR75XN4PXNQVVXWPFP6TRYTTWL7GTANCNFSM47WZRS5Q .
can you tell me which error when you run the code？
The same one in my original comment:
Following the previous issue (#1) updates. I am faced with the above mentioned runtime error. This happens when I run the code in the GPU runtime. The stack-trace is as follows:
Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 30, in inner_f queue.put(func(*args, **kwargs)) File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 81, in _is_device_tpu device = xm.xla_device() File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 231, in xla_device devkind=devkind if devkind is not None else None) File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 136, in get_xla_supported_devices xla_devices = _DEVICES.value File "/usr/local/lib/python3.7/dist-packages/torch_xla/utils/utils.py", line 32, in value self._value = self._gen_fn() File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 18, in <lambda> _DEVICES = xu.LazyProperty(lambda: torch_xla._XLAC._xla_get_devices()) RuntimeError: tensorflow/compiler/xla/xla_client/computation_client.cc:274 : Missing XLA configuration Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 30, in inner_f queue.put(func(*args, **kwargs)) File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 81, in _is_device_tpu device = xm.xla_device() File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 231, in xla_device devkind=devkind if devkind is not None else None) File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 136, in get_xla_supported_devices xla_devices = _DEVICES.value File "/usr/local/lib/python3.7/dist-packages/torch_xla/utils/utils.py", line 32, in value self._value = self._gen_fn() File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 18, in <lambda> _DEVICES = xu.LazyProperty(lambda: torch_xla._XLAC._xla_get_devices()) RuntimeError: tensorflow/compiler/xla/xla_client/computation_client.cc:274 : Missing XLA configuration Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 30, in inner_f queue.put(func(*args, **kwargs)) File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 81, in _is_device_tpu device = xm.xla_device() File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 231, in xla_device devkind=devkind if devkind is not None else None) File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 136, in get_xla_supported_devices xla_devices = _DEVICES.value File "/usr/local/lib/python3.7/dist-packages/torch_xla/utils/utils.py", line 32, in value self._value = self._gen_fn() File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 18, in <lambda> _DEVICES = xu.LazyProperty(lambda: torch_xla._XLAC._xla_get_devices()) RuntimeError: tensorflow/compiler/xla/xla_client/computation_client.cc:274 : Missing XLA configuration Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 30, in inner_f queue.put(func(*args, **kwargs)) File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/xla_device_utils.py", line 81, in _is_device_tpu device = xm.xla_device() File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 231, in xla_device devkind=devkind if devkind is not None else None) File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 136, in get_xla_supported_devices xla_devices = _DEVICES.value File "/usr/local/lib/python3.7/dist-packages/torch_xla/utils/utils.py", line 32, in value self._value = self._gen_fn() File "/usr/local/lib/python3.7/dist-packages/torch_xla/core/xla_model.py", line 18, in <lambda> _DEVICES = xu.LazyProperty(lambda: torch_xla._XLAC._xla_get_devices()) RuntimeError: tensorflow/compiler/xla/xla_client/computation_client.cc:274 : Missing XLA configurationThis should be noted that the above error goes away if I change the runtime to TPU. However, the rest of the code seems to be dependent on GPU runtime.
What am I doing wrong?
For better understanding, I am sharing the collab that I am working on: https://colab.research.google.com/drive/1-KBTZXXAKkXnUCIwMYDcfkyKoVqim5UH?usp=sharing
Also, where can I get/ how can I generate the "1D-Cartesian_6X_128128.mat" and "1D-Random-3X_256.mat" as mentioned in the fastmri.mri_ixi_t2net.py file? I believe there's no explanation for these 2 files in the paper.
Can you tell me your personal email address? I will send you the mask through email.
Amit Sharma @.***> 于2021年7月7日周三 下午4:51写道：
Also, where can I get/ how can I generate the "1D-Cartesian_6X_128128.mat" and "1D-Random-3X_256.mat" as mentioned in the fastmri.mri_ixi_t2net.py file? I believe there's no explanation for these 2 files in the paper.
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-875576076, or unsubscribe https://github.com/notifications/unsubscribe-auth/AR75XNZN3GEFXQWMPF7VZWLTWREUPANCNFSM47WZRS5Q .
please ask yunlu to get the mask @.***
YunxinLiu @.***> 于2021年7月29日周四 上午11:22写道：
Hello, thank you for sharing such a nice work. Can you please send me the mask file to my email, thank you very much for your help ! My @.***
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-888868071, or unsubscribe https://github.com/notifications/unsubscribe-auth/AR75XNY7S7MINOH6QLOOAUDT2D6VBANCNFSM47WZRS5Q .
Can you tell me your personal email address? I will send you the mask through email.
Amit Sharma @.***> 于2021年7月7日周三 下午4:51写道：
Also, where can I get/ how can I generate the "1D-Cartesian_6X_128128.mat" and "1D-Random-3X_256.mat" as mentioned in the fastmri.mri_ixi_t2net.py file? I believe there's no explanation for these 2 files in the paper.
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-875576076, or unsubscribe https://github.com/notifications/unsubscribe-auth/AR75XNZN3GEFXQWMPF7VZWLTWREUPANCNFSM47WZRS5Q .
Hello, thank you for sharing such a nice work. Can you please send me the mask file to my email, thank you very much for your help ! My email:[email protected]
Please find the mask through https://github.com/chunmeifeng/T2Net
Aristot1e @.***> 于2021年11月7日周日 上午10:13写道：
Can you tell me your personal email address? I will send you the mask through email.
Amit Sharma @.***> 于2021年7月7日周三 下午4:51写道：
Also, where can I get/ how can I generate the "1D-Cartesian_6X_128128.mat" and "1D-Random-3X_256.mat" as mentioned in the fastmri.mri_ixi_t2net.py file? I believe there's no explanation for these 2 files in the paper.
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub #2 (comment) https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-875576076, or unsubscribe
https://github.com/notifications/unsubscribe-auth/AR75XNZN3GEFXQWMPF7VZWLTWREUPANCNFSM47WZRS5Q .
Hello, thank you for sharing such a nice work. Can you please send me the mask file to my email, thank you very much for your help ! My @.***
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-962576236, or unsubscribe https://github.com/notifications/unsubscribe-auth/AR75XNY2MLPCG473D3342FDUKY7NDANCNFSM47WZRS5Q . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.
Please find the mask through https://github.com/chunmeifeng/T2Net
Aristot1e @.***> 于2021年11月7日周日 上午10:13写道：
Can you tell me your personal email address? I will send you the mask through email.
Amit Sharma @.***> 于2021年7月7日周三 下午4:51写道：
Also, where can I get/ how can I generate the "1D-Cartesian_6X_128128.mat" and "1D-Random-3X_256.mat" as mentioned in the fastmri.mri_ixi_t2net.py file? I believe there's no explanation for these 2 files in the paper.
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub #2 (comment) https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-875576076, or unsubscribe
https://github.com/notifications/unsubscribe-auth/AR75XNZN3GEFXQWMPF7VZWLTWREUPANCNFSM47WZRS5Q .
Hello, thank you for sharing such a nice work. Can you please send me the mask file to my email, thank you very much for your help ! My @.***
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-962576236, or unsubscribe https://github.com/notifications/unsubscribe-auth/AR75XNY2MLPCG473D3342FDUKY7NDANCNFSM47WZRS5Q . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.
I can't find the 1D-Random-3x_256.mat and could you send me this file?/ how can I get this?
yunlu will send you this mask.
Aristot1e @.***> 于2021年11月8日周一 下午2:53写道：
Please find the mask through https://github.com/chunmeifeng/T2Net
Aristot1e @.***> 于2021年11月7日周日 上午10:13写道：
Can you tell me your personal email address? I will send you the mask through email.
Amit Sharma @.***> 于2021年7月7日周三 下午4:51写道：
Also, where can I get/ how can I generate the "1D-Cartesian_6X_128128.mat" and "1D-Random-3X_256.mat" as mentioned in the fastmri.mri_ixi_t2net.py file? I believe there's no explanation for these 2 files in the paper.
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub #2 https://github.com/chunmeifeng/T2Net/issues/2 (comment) #2 (comment) https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-875576076, or unsubscribe
https://github.com/notifications/unsubscribe-auth/AR75XNZN3GEFXQWMPF7VZWLTWREUPANCNFSM47WZRS5Q .
Hello, thank you for sharing such a nice work. Can you please send me the mask file to my email, thank you very much for your help ! My @.***
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub #2 (comment) https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-962576236, or unsubscribe
https://github.com/notifications/unsubscribe-auth/AR75XNY2MLPCG473D3342FDUKY7NDANCNFSM47WZRS5Q . Triage notifications on the go with GitHub Mobile for iOS
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I can't find the 1D-Random-3x_256.mat and could you send me this file?/ how can I get this?
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-963170432, or unsubscribe https://github.com/notifications/unsubscribe-auth/AR75XNYEETQQOQ723VNUTALUK7I55ANCNFSM47WZRS5Q . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.
Hi yunlu, please send the mask to him.
1632325673 @.***> 于2021年11月10日周三 上午9:21写道：
你好，请问可以给我分享文件中提到的“1D-Random-3X_256.mat” @.***，非常感谢
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Hi friends, you can find the mask file here https://github.com/chunmeifeng/T2Net
Aristot1e @.***> 于2021年11月16日周二 上午9:19写道：
Hello, thank you for sharing such a nice work. Can you please send me the mask file to my email, thank you very much for your help ! My email: @.***
Hi friend, have you got this mask file? And have you reproduced this code? We can talk about this.
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链接中已经提供了的 windfall666 @.***>于2022年11月29日 周二18:31写道：
你好，请问可以给我分享文件中提到的“1D-Random-3X_256.mat” @.***，非常感谢！
— Reply to this email directly, view it on GitHub https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-1330416182, or unsubscribe https://github.com/notifications/unsubscribe-auth/AR75XN5FQ5V6GR6ZX7AM6FTWKXLOXANCNFSM47WZRS5Q . You are receiving this because you were mentioned.Message ID: @.***>
十分感谢！
------------------ 原始邮件 ------------------ 发件人: "chunmeifeng/T2Net" @.>; 发送时间: 2022年11月29日(星期二) 晚上6:38 @.>; @.@.>; 主题: Re: [chunmeifeng/T2Net] RuntimeError: tensorflow/compiler/xla/xla_client/computation_client.cc:274 : Missing XLA configuration (#2)
链接中已经提供了的 windfall666 @.***>于2022年11月29日 周二18:31写道：
> 你好，请问可以给我分享文件中提到的“1D-Random-3X_256.mat” @.，非常感谢！ > > — > Reply to this email directly, view it on GitHub > <https://github.com/chunmeifeng/T2Net/issues/2#issuecomment-1330416182>, > or unsubscribe > <https://github.com/notifications/unsubscribe-auth/AR75XN5FQ5V6GR6ZX7AM6FTWKXLOXANCNFSM47WZRS5Q> > . > You are receiving this because you were mentioned.Message ID: > @.> >
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***>