torch vulnerabilities
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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latest version
2.4.1
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first published
6 years ago
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latest version published
11 days ago
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licenses detected
- [0,)
Direct Vulnerabilities
Known vulnerabilities in the torch package. This does not include vulnerabilities belonging to this package’s dependencies.
Automatically find and fix vulnerabilities affecting your projects. Snyk scans for vulnerabilities and provides fixes for free.Vulnerability | Vulnerable Version |
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[0,)
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[,2.2.0)
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[,2.2.0)
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[,1.13.0)
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[,1.10.0)
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[0,1.13.1)
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Package versions
1 - 36 of 36 Results
version | published | direct vulnerabilities |
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2.4.1 | 4 Sep, 2024 |
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2.4.0 | 24 Jul, 2024 |
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2.3.1 | 5 Jun, 2024 |
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2.3.0 | 24 Apr, 2024 |
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2.2.2 | 27 Mar, 2024 |
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2.2.1 | 22 Feb, 2024 |
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2.2.0 | 30 Jan, 2024 |
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2.1.2 | 14 Dec, 2023 |
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2.1.1 | 15 Nov, 2023 |
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2.1.0 | 4 Oct, 2023 |
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2.0.1 | 8 May, 2023 |
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2.0.0 | 15 Mar, 2023 |
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1.13.1 | 15 Dec, 2022 |
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1.13.0 | 28 Oct, 2022 |
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1.12.1 | 5 Aug, 2022 |
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1.12.0 | 28 Jun, 2022 |
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1.11.0 | 10 Mar, 2022 |
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1.10.2 | 27 Jan, 2022 |
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1.10.1 | 15 Dec, 2021 |
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1.10.0 | 21 Oct, 2021 |
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1.9.1 | 20 Sep, 2021 |
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1.9.0 | 15 Jun, 2021 |
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1.8.1 | 25 Mar, 2021 |
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1.8.0 | 4 Mar, 2021 |
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1.7.1 | 10 Dec, 2020 |
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1.7.0 | 27 Oct, 2020 |
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1.6.0 | 28 Jul, 2020 |
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1.5.1 | 18 Jun, 2020 |
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1.5.0 | 21 Apr, 2020 |
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1.4.0 | 15 Jan, 2020 |
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1.3.1 | 7 Nov, 2019 |
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1.3.0 | 10 Oct, 2019 |
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1.2.0 | 8 Aug, 2019 |
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1.1.0 | 30 Apr, 2019 |
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1.0.1 | 5 Feb, 2019 |
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1.0.0 | 7 Dec, 2018 |
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