Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	5971220
MD5	E9EA61D18831E91B08200FA33ACD14D1
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.8.1-2
SHA-1	D6B76B71FF7DF44231A42B0556D9D2A9F734469D
SHA-256	1B0DC73D324C799677D0CFD139AFA7F5212E017ABCBC2CFBA30D684EDA708049

Key	Value
FileSize	6636676
MD5	994F6647B9F56EF486807E215A0012E6
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.8.1-2
SHA-1	A4F5C06B6B81F634D8DE257EB31DB9C49C343170
SHA-256	021820C99DCCDBC7D6C57C3B44CC336AA6D055B3F47EF96647232772FDD6C489

Key	Value
FileSize	5907224
MD5	CC62435F5E1630532723389954EC872D
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.8.1-2
SHA-1	F0BA8720FCD12193751AFBF641C1EEB7687AD394
SHA-256	1FECB179BCB230998C15BAE022AB014FCBBE2A1903EEB9901C08CA63C43D851F

Key	Value
FileSize	5766624
MD5	E2A2D4F5D8E681B6ED27E5142E69BEFA
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.8.1-2
SHA-1	4DD3F63613CF4EDA920B4DB8804AE9C3BE059E0D
SHA-256	E1E4A0B893EF727D5DD89BD52D8C56E9E3BCCE726ADCD25DE4E497A2FF0918AF

Key	Value
FileSize	6320740
MD5	74AC228049778FB53D9EB8A21B96D0C7
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.8.1-2
SHA-1	198E3C5D4046E8E1DDCA04CD87B6440E027BB3DC
SHA-256	07957E38F0837C296D42560E83F710C553A00E66CE6ED5DAD58DAEE5D630B76A