Upgrade fbcode/pytorch to Python Scientific Stack 2 #680
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This pull request was exported from Phabricator. Differential Revision: D64008689 |
Summary: X-link: pytorch/captum#1387 X-link: pytorch/botorch#2584 X-link: pytorch/audio#3845 Differential Revision: D64008689
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This pull request was exported from Phabricator. Differential Revision: D64008689 |
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Summary: X-link: pytorch/opacus#680 X-link: pytorch/botorch#2584 X-link: pytorch/audio#3845 Differential Revision: D64008689
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Summary: X-link: pytorch/opacus#680 X-link: pytorch/captum#1387 X-link: pytorch/audio#3845 Differential Revision: D64008689
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…ytorch#3845) Summary: X-link: pytorch/opacus#680 X-link: pytorch/captum#1387 X-link: pytorch/botorch#2584 Differential Revision: D64008689
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…ch#3845) Summary: X-link: pytorch/opacus#680 X-link: pytorch/captum#1387 X-link: pytorch/botorch#2584 This replaces uses of `numpy.ndarray` in type annotations with `numpy.typing.NDArray`. In Numpy-1.24.0+ `numpy.ndarray` is annotated as generic type. Without template parameters it triggers static analysis errors: ```counterexample Generic type `ndarray` expects 2 type parameters. ``` `numpy.typing.NDArray` is an alias that provides default template parameters. Differential Revision: D64619891
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Summary: X-link: pytorch/audio#3846 X-link: pytorch/opacus#680 X-link: pytorch/captum#1387 X-link: pytorch/audio#3845 This replaces uses of `numpy.ndarray` in type annotations with `numpy.typing.NDArray`. In Numpy-1.24.0+ `numpy.ndarray` is annotated as generic type. Without template parameters it triggers static analysis errors: ```counterexample Generic type `ndarray` expects 2 type parameters. ``` `numpy.typing.NDArray` is an alias that provides default template parameters. Differential Revision: D64619891
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Summary: X-link: pytorch/audio#3846 X-link: pytorch/opacus#680 X-link: pytorch/botorch#2584 X-link: pytorch/audio#3845 This replaces uses of `numpy.ndarray` in type annotations with `numpy.typing.NDArray`. In Numpy-1.24.0+ `numpy.ndarray` is annotated as generic type. Without template parameters it triggers static analysis errors: ```counterexample Generic type `ndarray` expects 2 type parameters. ``` `numpy.typing.NDArray` is an alias that provides default template parameters. Differential Revision: D64619891
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Summary: X-link: pytorch/captum#1389 X-link: pytorch/botorch#2586 X-link: pytorch/audio#3846 X-link: pytorch/captum#1387 X-link: pytorch/botorch#2584 X-link: pytorch/audio#3845 This replaces uses of `numpy.ndarray` in type annotations with `numpy.typing.NDArray`. In Numpy-1.24.0+ `numpy.ndarray` is annotated as generic type. Without template parameters it triggers static analysis errors: ```counterexample Generic type `ndarray` expects 2 type parameters. ``` `numpy.typing.NDArray` is an alias that provides default template parameters. Differential Revision: D64619891
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Summary:
X-link: pytorch/captum#1387
X-link: pytorch/botorch#2584
X-link: pytorch/audio#3845
Differential Revision: D64008689