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fix: ivy failing test paddle backend creation.arange #28462

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fix: ivy failing test paddle backend creation.arange #28462

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626d9fc
fix ivy creation.arange
marvlyngkhoi Mar 1, 2024
ab80aee
fix paddle backend for ivy creation
marvlyngkhoi Mar 1, 2024
e34d9a2
Merge branch 'unifyai:main' into fix_ivy_arange
marvlyngkhoi Mar 13, 2024
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12 changes: 12 additions & 0 deletions ivy/functional/backends/paddle/creation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@
from ivy.func_wrapper import (
with_unsupported_device_and_dtypes,
with_supported_device_and_dtypes,
with_supported_dtypes,
)
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
Expand All @@ -30,6 +31,17 @@
# -------------------#


@with_supported_dtypes(
{
"2.6.0 and below": (
"int32",
"int64",
"float64",
"float32",
)
},
backend_version,
)
def arange(
start: float,
/,
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2 changes: 2 additions & 0 deletions ivy/functional/backends/paddle/data_type.py
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Expand Up @@ -119,6 +119,8 @@ def astype(
) -> paddle.Tensor:
dtype = ivy.as_native_dtype(dtype)
if x.dtype == dtype:
if paddle.is_empty(x):
return paddle.empty_like(x) if copy else x
return x.clone() if copy else x
return x.clone().cast(dtype) if copy else x.cast(dtype)

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1 change: 1 addition & 0 deletions ivy/functional/backends/tensorflow/creation.py
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Expand Up @@ -30,6 +30,7 @@
"float16",
"bfloat16",
"complex",
"bool",
)
},
backend_version,
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10 changes: 9 additions & 1 deletion ivy/functional/backends/torch/creation.py
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Expand Up @@ -47,7 +47,15 @@ def _differentiable_linspace(start, stop, num, *, device, dtype=None):
return res


@with_unsupported_dtypes({"2.2 and below": ("complex",)}, backend_version)
@with_unsupported_dtypes(
{
"2.2 and below": (
"complex",
"bool",
)
},
backend_version,
)
def arange(
start: float,
/,
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2 changes: 1 addition & 1 deletion ivy_tests/test_ivy/test_functional/test_core/test_creation.py
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Expand Up @@ -149,7 +149,7 @@ def is_capsule(o):
step=helpers.ints(min_value=-50, max_value=50).filter(
lambda x: True if x != 0 else False
),
dtype=helpers.get_dtypes("numeric", full=False),
dtype=helpers.get_dtypes("valid", full=False),
test_instance_method=st.just(False),
test_gradients=st.just(False),
)
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