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        "author": "The Bass",
        "author_email": "the-bass@posteo.co",
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        "description": "# Torch Testing\n\nA collection of assertion methods to compare PyTorch Tensors in tests.\n\nCurrently all assertion methods are provided by converting the tensors to numpy arrays and feeding them into an appropriate `numpy.testing` method. That way, on failure, detailed information is provided as to why the test failed.\n\nLast tested with **Python 3.6.4 :: Anaconda, Inc.** and **PyTorch 0.4**.\n\n## Installation\n\nYou can install this package using `pip`:\n\n```py\npip install torch_testing\n```\n\n## Usage example\n\nYou can assert the equality of two `torch.tensor`s like\n\n```py\nimport unittest\nimport torch\nimport torch_testing as tt\n\n\nclass TestSomeClass(unittest.TestCase):\n\n    def test_some_method(self):\n        a = torch.tensor([1, 2])\n        b = torch.tensor([1, 2])\n        tt.assert_equal(a, b)\n\nif __name__ == '__main__':\n    unittest.main()\n```\n\n## Assertion methods\n\n### `assert_equal(actual, expected, **kwargs)`\nCurrently this assertion method is provided by converting the tensors to `numpy` arrays using `tensor.numpy()` and feeding them to [numpy.testing.assert_equal](https://docs.scipy.org/doc/numpy/reference/generated/numpy.testing.assert_equal.html#numpy.testing.assert_equal).\n\n### `assert_allclose(actual, expected, rtol=1e-07, atol=0, equal_nan=True, **kwargs)`\nCurrently this assertion method is provided by converting the tensors to `numpy` arrays using `tensor.numpy()` and feeding them to [numpy.testing.assert_allclose](https://docs.scipy.org/doc/numpy/reference/generated/numpy.testing.assert_allclose.html#numpy.testing.assert_allclose).\n\n### `assert_within(tensor, min_val, max_val, rtol=0)`\nEnsures that all values of the given `tensor` are greater than or equal to `min_val` and less than or equal to `max_val`. Allows to specify a relative tolerance `rtol`, which behaves as in [numpy.testing.assert_allclose](https://docs.scipy.org/doc/numpy/reference/generated/numpy.testing.assert_allclose.html#numpy.testing.assert_allclose).\n\n*NOTE: Uses `assert_allclose` under the hood, hence the fail message might currently be a little confusing.*\n\n## Development\n\n*Unless noted otherwise, all commands are expected to be executed from the root directory of this repository.*\n\n### Building the package for local development\n\nTo make the package available locally while making sure changes to the files are reflected immediately, run\n\n```sh\npip install -e .\n```\n\n### Test suite\n\nRun all tests using\n\n```sh\npython -m unittest discover tests\n```\n\n\n",
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