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fix: Fixed pointwise_ops.torch.real for paddle backend #28115

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merged 10 commits into from
Mar 11, 2024
Merged

fix: Fixed pointwise_ops.torch.real for paddle backend #28115

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b33f689
Fixed pointwise_ops.torch.real failing test for paddle backend.
Sai-Suraj-27 Jan 30, 2024
36f615e
Updated the backend function.
Sai-Suraj-27 Jan 30, 2024
ca04459
Re-added the removed decorator.
Sai-Suraj-27 Jan 30, 2024
2eac900
Merge branch 'main' of https://github.com/unifyai/ivy into fix_torch.…
Sai-Suraj-27 Feb 13, 2024
a391734
Fixed supported dtypes for tensorflow and paddle backends.
Sai-Suraj-27 Feb 13, 2024
1e3f8aa
Updated paddle-backend for real.
Sai-Suraj-27 Feb 13, 2024
069d6bf
Merge branch 'main' of https://github.com/unifyai/ivy into fix_torch.…
Sai-Suraj-27 Feb 26, 2024
3d68686
Merge branch 'main' of https://github.com/unifyai/ivy into fix_torch.…
Sai-Suraj-27 Feb 26, 2024
9f347f1
Merge branch 'main' of https://github.com/unifyai/ivy into fix_torch.…
Sai-Suraj-27 Mar 8, 2024
6eb689f
Reverted few changes.
Sai-Suraj-27 Mar 8, 2024
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23 changes: 4 additions & 19 deletions ivy/functional/backends/paddle/elementwise.py
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Original file line number Diff line number Diff line change
Expand Up @@ -894,26 +894,11 @@ def logaddexp2(
return ivy.log2(ivy.exp2(x1) + ivy.exp2(x2))


@with_unsupported_device_and_dtypes(
{
"2.6.0 and below": {
"cpu": (
"int8",
"int16",
"int32",
"int64",
"uint8",
"float16",
"float32",
"float64",
"bool",
)
}
},
backend_version,
)
def real(x: paddle.Tensor, /, *, out: Optional[paddle.Tensor] = None) -> paddle.Tensor:
return paddle.real(x)
if paddle.is_complex(x):
return paddle.real(x)
else:
return x


@with_supported_device_and_dtypes(
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2 changes: 1 addition & 1 deletion ivy/functional/backends/tensorflow/elementwise.py
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Original file line number Diff line number Diff line change
Expand Up @@ -486,7 +486,7 @@ def logaddexp(
return tf.experimental.numpy.logaddexp(x1, x2)


@with_unsupported_dtypes({"2.15.0 and below": ("float16",)}, backend_version)
@with_unsupported_dtypes({"2.15.0 and below": ("bool",)}, backend_version)
def real(
x: Union[tf.Tensor, tf.Variable],
/,
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