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Adds pinv to tensorflow backend (https://github.com/google/TensorNetwork/issues/844) #935
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Thanks for the PR, looks good! Could you also add pinv
to the AbstractBackend
class, as well as numpy
and jax
backends?
np.testing.assert_allclose(expected, actual) | ||
expected = tf.linalg.pinv(tensor) | ||
actual = backend.pinv(tensor) | ||
np.testing.assert_allclose(expected, actual) |
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add a test that actual @ tensor
and tensor @ actual
equal the identity (within the desired error)
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Would testing for all the criteria in https://en.wikipedia.org/wiki/Moore%E2%80%93Penrose_inverse be a better test? (As for an example given in tf's documentation, the product wasn't identity)
@@ -430,3 +430,26 @@ def eps(self, dtype: Type[np.number]) -> float: | |||
float: Machine epsilon. | |||
""" | |||
return tf.experimental.numpy.finfo(dtype).eps | |||
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def pinv(self, tensor: Tensor, rcond: float = 1E-15, hermitian: bool = False) -> Tensor: |
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I think you can remove the hermitian
argument
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I had included it as it was an argument for numpy. I'll remove it in the next commit.
Thanks for the review!
Added pinv to tensorflow_backend.py and corresponding tests to tensorflow_backend_tests,py Issue: #844