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Added: abs: tensorflow_frontend #10686
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9596045
added tensorflow abs math function
Pratit23 28f68a4
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Pratit23 132a988
made requested PR changes
Pratit23 19b751f
added unsupported dtypes
Pratit23 473de4d
added additional unsupported types
Pratit23 c5d35cb
added additional unsupported types
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Original file line number | Diff line number | Diff line change |
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@@ -1,6 +1,6 @@ | ||
# global | ||
import ivy | ||
from ivy import with_supported_dtypes | ||
from ivy import with_supported_dtypes, with_unsupported_dtypes | ||
from ivy.functional.frontends.tensorflow import check_tensorflow_casting | ||
from ivy.functional.frontends.tensorflow.func_wrapper import ( | ||
to_ivy_arrays_and_back, | ||
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@@ -425,6 +425,14 @@ def nextafter(x1, x2, name=None): | |
return ivy.nextafter(x1, x2) | ||
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@with_unsupported_dtypes( | ||
{"1.2.0": ("float16", "complex64", "complex128"), "1.8.0 and below": ("float16")}, | ||
"tensorflow", | ||
) | ||
def abs(x, name=None): | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Please add the unit dtypes as unsupported dtypes. |
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return ivy.abs(x) | ||
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@to_ivy_arrays_and_back | ||
def log_softmax(logits, axis=None): | ||
return ivy.log_softmax(logits, axis=axis) |
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Please include the uints as unsupported from 2.9.0 and below in order to pass the test (i.e.
uint8
,uint16
, ...)There was a problem hiding this comment.
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This commit was passed through the pre-commit hook