I set up the requirements in a virtual environment, downloaded and placed the pre-trained models and executed the demo.py. It runs but shows lots of warning and fallback messages. After the execution, the output in the result folder is processed in all but the faces of all persons in every images are same as in input images, that is the faces are not processed. Any help in correcting the setup, if wrong will be great.
PS D:\Development\Workspace\VSCode\Python\VQFR> & C:/Development/Tools/Anaconda3/envs/VQFR/python.exe d:/Development/Workspace/VSCode/Python/VQFR/demo.py
C:\Development\Tools\Anaconda3\envs\VQFR\lib\site-packages\torchvision\models_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.
f"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, "
C:\Development\Tools\Anaconda3\envs\VQFR\lib\site-packages\torchvision\models_utils.py:223: UserWarning: Arguments other than a weight enum or None
for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing weights=None
.
warnings.warn(msg)
Processing 00.jpg ...
Failed inference for VQFR: Could not run 'torchvision::deform_conv2d' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchvision::deform_conv2d' is only available for these backends: [Dense, UNKNOWN_TENSOR_TYPE_ID, QuantizedXPU, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseCPU, SparseCUDA, SparseHIP, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseXPU, UNKNOWN_TENSOR_TYPE_ID, SparseVE, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, NestedTensorCUDA, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID].
CPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\cpu\deform_conv2d_kernel.cpp:1162 [kernel]
BackendSelect: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:133 [backend fallback]
Named: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ConjugateFallback.cpp:18 [backend fallback]
Negative: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\NegateFallback.cpp:18 [backend fallback]
ZeroTensor: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ZeroTensorFallback.cpp:86 [backend fallback]
ADInplaceOrView: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\VariableFallbackKernel.cpp:64 [backend fallback]
AutogradOther: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCUDA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXLA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradMPS: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradIPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradHPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradLazy: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse1: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse2: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse3: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
Tracer: registered at C:\cb\pytorch_1000000000000\work\torch\csrc\autograd\TraceTypeManual.cpp:295 [backend fallback]
AutocastCPU: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:481 [backend fallback]
Autocast: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:324 [backend fallback]
Batched: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\BatchingRegistrations.cpp:1064 [backend fallback]
VmapMode: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\VmapModeRegistrations.cpp:33 [backend fallback]
Functionalize: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\FunctionalizeFallbackKernel.cpp:89 [backend fallback]
PythonTLSSnapshot: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:137 [backend fallback]
.
Failed inference for VQFR: Could not run 'torchvision::deform_conv2d' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchvision::deform_conv2d' is only available for these backends: [Dense, UNKNOWN_TENSOR_TYPE_ID, QuantizedXPU, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseCPU, SparseCUDA, SparseHIP, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseXPU, UNKNOWN_TENSOR_TYPE_ID, SparseVE, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, NestedTensorCUDA, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID].
CPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\cpu\deform_conv2d_kernel.cpp:1162 [kernel]
BackendSelect: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:133 [backend fallback]
Named: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ConjugateFallback.cpp:18 [backend fallback]
Negative: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\NegateFallback.cpp:18 [backend fallback]
ZeroTensor: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ZeroTensorFallback.cpp:86 [backend fallback]
ADInplaceOrView: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\VariableFallbackKernel.cpp:64 [backend fallback]
AutogradOther: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCUDA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXLA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradMPS: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradIPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradHPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradLazy: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse1: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse2: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse3: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
Tracer: registered at C:\cb\pytorch_1000000000000\work\torch\csrc\autograd\TraceTypeManual.cpp:295 [backend fallback]
AutocastCPU: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:481 [backend fallback]
Autocast: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:324 [backend fallback]
Batched: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\BatchingRegistrations.cpp:1064 [backend fallback]
VmapMode: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\VmapModeRegistrations.cpp:33 [backend fallback]
Functionalize: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\FunctionalizeFallbackKernel.cpp:89 [backend fallback]
PythonTLSSnapshot: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:137 [backend fallback]
.
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Processing 10045.png ...
Failed inference for VQFR: Could not run 'torchvision::deform_conv2d' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchvision::deform_conv2d' is only available for these backends: [Dense, UNKNOWN_TENSOR_TYPE_ID, QuantizedXPU, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseCPU, SparseCUDA, SparseHIP, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseXPU, UNKNOWN_TENSOR_TYPE_ID, SparseVE, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, NestedTensorCUDA, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID].
CPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\cpu\deform_conv2d_kernel.cpp:1162 [kernel]
BackendSelect: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:133 [backend fallback]
Named: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ConjugateFallback.cpp:18 [backend fallback]
Negative: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\NegateFallback.cpp:18 [backend fallback]
ZeroTensor: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ZeroTensorFallback.cpp:86 [backend fallback]
ADInplaceOrView: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\VariableFallbackKernel.cpp:64 [backend fallback]
AutogradOther: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCUDA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXLA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradMPS: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradIPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradHPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradLazy: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse1: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse2: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse3: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
Tracer: registered at C:\cb\pytorch_1000000000000\work\torch\csrc\autograd\TraceTypeManual.cpp:295 [backend fallback]
AutocastCPU: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:481 [backend fallback]
Autocast: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:324 [backend fallback]
Batched: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\BatchingRegistrations.cpp:1064 [backend fallback]
VmapMode: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\VmapModeRegistrations.cpp:33 [backend fallback]
Functionalize: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\FunctionalizeFallbackKernel.cpp:89 [backend fallback]
PythonTLSSnapshot: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:137 [backend fallback]
.
Failed inference for VQFR: Could not run 'torchvision::deform_conv2d' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchvision::deform_conv2d' is only available for these backends: [Dense, UNKNOWN_TENSOR_TYPE_ID, QuantizedXPU, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseCPU, SparseCUDA, SparseHIP, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseXPU, UNKNOWN_TENSOR_TYPE_ID, SparseVE, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, NestedTensorCUDA, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID].
CPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\cpu\deform_conv2d_kernel.cpp:1162 [kernel]
BackendSelect: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:133 [backend fallback]
Named: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ConjugateFallback.cpp:18 [backend fallback]
Negative: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\NegateFallback.cpp:18 [backend fallback]
ZeroTensor: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ZeroTensorFallback.cpp:86 [backend fallback]
ADInplaceOrView: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\VariableFallbackKernel.cpp:64 [backend fallback]
AutogradOther: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCUDA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXLA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradMPS: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradIPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradHPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradLazy: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse1: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse2: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse3: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
Tracer: registered at C:\cb\pytorch_1000000000000\work\torch\csrc\autograd\TraceTypeManual.cpp:295 [backend fallback]
AutocastCPU: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:481 [backend fallback]
Autocast: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:324 [backend fallback]
Batched: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\BatchingRegistrations.cpp:1064 [backend fallback]
VmapMode: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\VmapModeRegistrations.cpp:33 [backend fallback]
Functionalize: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\FunctionalizeFallbackKernel.cpp:89 [backend fallback]
PythonTLSSnapshot: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:137 [backend fallback]
.
Failed inference for VQFR: Could not run 'torchvision::deform_conv2d' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchvision::deform_conv2d' is only available for these backends: [Dense, UNKNOWN_TENSOR_TYPE_ID, QuantizedXPU, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseCPU, SparseCUDA, SparseHIP, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseXPU, UNKNOWN_TENSOR_TYPE_ID, SparseVE, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, NestedTensorCUDA, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID].
CPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\cpu\deform_conv2d_kernel.cpp:1162 [kernel]
BackendSelect: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:133 [backend fallback]
Named: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ConjugateFallback.cpp:18 [backend fallback]
Negative: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\NegateFallback.cpp:18 [backend fallback]
ZeroTensor: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ZeroTensorFallback.cpp:86 [backend fallback]
ADInplaceOrView: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\VariableFallbackKernel.cpp:64 [backend fallback]
AutogradOther: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCUDA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXLA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradMPS: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradIPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradHPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradLazy: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse1: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse2: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse3: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
Tracer: registered at C:\cb\pytorch_1000000000000\work\torch\csrc\autograd\TraceTypeManual.cpp:295 [backend fallback]
AutocastCPU: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:481 [backend fallback]
Autocast: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:324 [backend fallback]
Batched: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\BatchingRegistrations.cpp:1064 [backend fallback]
VmapMode: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\VmapModeRegistrations.cpp:33 [backend fallback]
Functionalize: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\FunctionalizeFallbackKernel.cpp:89 [backend fallback]
PythonTLSSnapshot: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:137 [backend fallback]
.
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Processing Blake_Lively.jpg ...
Failed inference for VQFR: Could not run 'torchvision::deform_conv2d' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchvision::deform_conv2d' is only available for these backends: [Dense, UNKNOWN_TENSOR_TYPE_ID, QuantizedXPU, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseCPU, SparseCUDA, SparseHIP, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseXPU, UNKNOWN_TENSOR_TYPE_ID, SparseVE, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, NestedTensorCUDA, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID].
CPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\cpu\deform_conv2d_kernel.cpp:1162 [kernel]
BackendSelect: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:133 [backend fallback]
Named: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ConjugateFallback.cpp:18 [backend fallback]
Negative: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\NegateFallback.cpp:18 [backend fallback]
ZeroTensor: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ZeroTensorFallback.cpp:86 [backend fallback]
ADInplaceOrView: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\VariableFallbackKernel.cpp:64 [backend fallback]
AutogradOther: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCUDA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXLA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradMPS: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradIPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradHPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradLazy: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse1: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse2: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse3: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
Tracer: registered at C:\cb\pytorch_1000000000000\work\torch\csrc\autograd\TraceTypeManual.cpp:295 [backend fallback]
AutocastCPU: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:481 [backend fallback]
Autocast: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:324 [backend fallback]
Batched: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\BatchingRegistrations.cpp:1064 [backend fallback]
VmapMode: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\VmapModeRegistrations.cpp:33 [backend fallback]
Functionalize: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\FunctionalizeFallbackKernel.cpp:89 [backend fallback]
PythonTLSSnapshot: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:137 [backend fallback]
.
Failed inference for VQFR: Could not run 'torchvision::deform_conv2d' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchvision::deform_conv2d' is only available for these backends: [Dense, UNKNOWN_TENSOR_TYPE_ID, QuantizedXPU, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseCPU, SparseCUDA, SparseHIP, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseXPU, UNKNOWN_TENSOR_TYPE_ID, SparseVE, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, NestedTensorCUDA, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID].
CPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\cpu\deform_conv2d_kernel.cpp:1162 [kernel]
BackendSelect: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:133 [backend fallback]
Named: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ConjugateFallback.cpp:18 [backend fallback]
Negative: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\NegateFallback.cpp:18 [backend fallback]
ZeroTensor: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\ZeroTensorFallback.cpp:86 [backend fallback]
ADInplaceOrView: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\VariableFallbackKernel.cpp:64 [backend fallback]
AutogradOther: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCUDA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXLA: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradMPS: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradIPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradHPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradLazy: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse1: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse2: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse3: registered at C:\Users\circleci\project\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
Tracer: registered at C:\cb\pytorch_1000000000000\work\torch\csrc\autograd\TraceTypeManual.cpp:295 [backend fallback]
AutocastCPU: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:481 [backend fallback]
Autocast: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\autocast_mode.cpp:324 [backend fallback]
Batched: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\BatchingRegistrations.cpp:1064 [backend fallback]
VmapMode: fallthrough registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\VmapModeRegistrations.cpp:33 [backend fallback]
Functionalize: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\FunctionalizeFallbackKernel.cpp:89 [backend fallback]
PythonTLSSnapshot: registered at C:\cb\pytorch_1000000000000\work\aten\src\ATen\core\PythonFallbackKernel.cpp:137 [backend fallback]
.
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Results are in the [results] folder.
List of installed packages are :
_pytorch_select 1.1.0 cpu
absl-py 1.2.0 pypi_0 pypi
addict 2.4.0 pypi_0 pypi
aom 3.4.0 h0e60522_1 conda-forge
basicsr 1.4.1 pypi_0 pypi
blas 2.108 mkl conda-forge
blas-devel 3.9.0 8_mkl conda-forge
brotlipy 0.7.0 py37hcc03f2d_1004 conda-forge
bzip2 1.0.8 h8ffe710_4 conda-forge
ca-certificates 2022.6.15 h5b45459_0 conda-forge
cachetools 5.2.0 pypi_0 pypi
certifi 2022.6.15 pypi_0 pypi
cffi 1.15.1 py37hd8e9650_0 conda-forge
charset-normalizer 2.1.0 pyhd8ed1ab_0 conda-forge
colorama 0.4.5 pyhd8ed1ab_0 conda-forge
cryptography 37.0.4 py37h65266a2_0 conda-forge
cudatoolkit 11.3.1 h280eb24_10 conda-forge
cycler 0.11.0 pypi_0 pypi
einops 0.4.1 pyhd8ed1ab_0 conda-forge
expat 2.4.8 h39d44d4_0 conda-forge
facexlib 0.2.4 pypi_0 pypi
ffmpeg 4.3 ha925a31_0 pytorch
filterpy 1.4.5 pypi_0 pypi
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.0 hce3cb01_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.34.4 pypi_0 pypi
freeglut 3.2.2 h0e60522_1 conda-forge
freetype 2.10.4 h546665d_2 conda-forge
future 0.18.2 py37h03978a9_5 conda-forge
gettext 0.19.8.1 ha2e2712_1008 conda-forge
gfpgan 1.3.4 pypi_0 pypi
glib 2.72.1 h7755175_0 conda-forge
glib-tools 2.72.1 h7755175_0 conda-forge
google-auth 2.10.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
grpcio 1.47.0 pypi_0 pypi
gst-plugins-base 1.20.3 he07aa86_0 conda-forge
gstreamer 1.20.3 hdff456e_0 conda-forge
icu 70.1 h0e60522_0 conda-forge
idna 3.3 pyhd8ed1ab_0 conda-forge
imageio 2.21.1 pypi_0 pypi
importlib-metadata 4.12.0 pypi_0 pypi
intel-openmp 2022.1.0 h57928b3_3787 conda-forge
jasper 2.0.33 h77af90b_0 conda-forge
joblib 1.1.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h8ffe710_2 conda-forge
kiwisolver 1.4.4 pypi_0 pypi
krb5 1.19.3 h1176d77_0 conda-forge
lcms2 2.12 h2a16943_0 conda-forge
lerc 4.0.0 h63175ca_0 conda-forge
libblas 3.9.0 8_mkl conda-forge
libcblas 3.9.0 8_mkl conda-forge
libclang 14.0.6 default_h77d9078_0 conda-forge
libclang13 14.0.6 default_h77d9078_0 conda-forge
libdeflate 1.13 h8ffe710_0 conda-forge
libffi 3.4.2 h8ffe710_5 conda-forge
libglib 2.72.1 h3be07f2_0 conda-forge
libiconv 1.16 he774522_0 conda-forge
liblapack 3.9.0 8_mkl conda-forge
liblapacke 3.9.0 8_mkl conda-forge
libogg 1.3.4 h8ffe710_1 conda-forge
libopencv 4.6.0 py37hbae3f13_0 conda-forge
libpng 1.6.37 h1d00b33_3 conda-forge
libprotobuf 3.20.1 h7755175_0 conda-forge
libtiff 4.4.0 h92677e6_3 conda-forge
libuv 1.44.2 h8ffe710_0 conda-forge
libvorbis 1.3.7 h0e60522_0 conda-forge
libwebp 1.2.3 h8ffe710_1 conda-forge
libwebp-base 1.2.3 h8ffe710_2 conda-forge
libxcb 1.13 hcd874cb_1004 conda-forge
libxml2 2.9.14 hf5bbc77_3 conda-forge
libzlib 1.2.12 h8ffe710_2 conda-forge
llvmlite 0.39.0 pypi_0 pypi
lmdb 1.3.0 pypi_0 pypi
lz4-c 1.9.3 h8ffe710_1 conda-forge
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge
markdown 3.4.1 pypi_0 pypi
markupsafe 2.1.1 pypi_0 pypi
matplotlib 3.5.2 pypi_0 pypi
mkl 2020.4 hb70f87d_311 conda-forge
mkl-devel 2020.4 h57928b3_312 conda-forge
mkl-include 2020.4 hb70f87d_311 conda-forge
mkl-service 2.3.0 py37h4ab8f01_2 conda-forge
msys2-conda-epoch 20160418 1 conda-forge
networkx 2.6.3 pypi_0 pypi
ninja 1.11.0 h2d74725_0 conda-forge
numba 0.56.0 pypi_0 pypi
numpy 1.20.3 py37h4c2b6ed_2 conda-forge
oauthlib 3.2.0 pypi_0 pypi
opencv 4.6.0 py37h03978a9_0 conda-forge
openh264 2.2.0 h0e60522_2 conda-forge
openjpeg 2.4.0 hb211442_1 conda-forge
openssl 1.1.1q h8ffe710_0 conda-forge
packaging 21.3 pypi_0 pypi
pcre 8.45 h0e60522_0 conda-forge
pillow 9.2.0 py37h8675073_0 conda-forge
pip 22.2.2 pyhd8ed1ab_0 conda-forge
protobuf 3.19.4 pypi_0 pypi
pthread-stubs 0.4 hcd874cb_1001 conda-forge
py-opencv 4.6.0 py37h90c5f73_0 conda-forge
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pyopenssl 22.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 pypi_0 pypi
pysocks 1.7.1 py37h03978a9_5 conda-forge
python 3.7.12 h7840368_100_cpython conda-forge
python-dateutil 2.8.2 pypi_0 pypi
python_abi 3.7 2_cp37m conda-forge
pytorch 1.12.1 py3.7_cuda11.3_cudnn8_0 pytorch
pytorch-mutex 1.0 cuda pytorch
pywavelets 1.3.0 pypi_0 pypi
pyyaml 6.0 py37hcc03f2d_4 conda-forge
qt-main 5.15.4 h467ea89_2 conda-forge
realesrgan 0.2.5.0 pypi_0 pypi
requests 2.28.1 pyhd8ed1ab_0 conda-forge
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
scikit-image 0.19.3 pypi_0 pypi
scikit-learn 1.0.2 py37hcabfae0_0 conda-forge
scipy 1.7.3 py37hb6553fb_0 conda-forge
setuptools 63.4.2 py37h03978a9_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
sqlite 3.39.2 h8ffe710_0 conda-forge
svt-av1 1.1.0 h0e60522_1 conda-forge
tb-nightly 2.10.0a20220809 pypi_0 pypi
tbb 2021.5.0 h2d74725_1 conda-forge
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tifffile 2021.11.2 pypi_0 pypi
timm 0.6.7 pypi_0 pypi
tk 8.6.12 h8ffe710_0 conda-forge
torch 1.12.1 pypi_0 pypi
torchaudio 0.12.1 py37_cu113 pytorch
torchvision 0.13.1 pypi_0 pypi
tqdm 4.64.0 pyhd8ed1ab_0 conda-forge
typing-extensions 4.3.0 hd8ed1ab_0 conda-forge
typing_extensions 4.3.0 pyha770c72_0 conda-forge
ucrt 10.0.20348.0 h57928b3_0 conda-forge
urllib3 1.26.11 pyhd8ed1ab_0 conda-forge
vc 14.2 hb210afc_6 conda-forge
vs2015_runtime 14.29.30037 h902a5da_6 conda-forge
werkzeug 2.2.2 pypi_0 pypi
wheel 0.37.1 pyhd8ed1ab_0 conda-forge
win_inet_pton 1.1.0 py37h03978a9_4 conda-forge
x264 1!161.3030 h8ffe710_1 conda-forge
x265 3.5 h2d74725_3 conda-forge
xorg-libxau 1.0.9 hcd874cb_0 conda-forge
xorg-libxdmcp 1.1.3 hcd874cb_0 conda-forge
xz 5.2.5 h62dcd97_1 conda-forge
yaml 0.2.5 h8ffe710_2 conda-forge
yapf 0.32.0 pyhd8ed1ab_0 conda-forge
zipp 3.8.1 pypi_0 pypi
zlib 1.2.12 h8ffe710_2 conda-forge
zstd 1.5.2 h6255e5f_3 conda-forge