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Add tf.SparseTensor and tf.IndexedSlices support to a number of T… #18633

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Oct 25, 2023
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Add tf.SparseTensor and tf.IndexedSlices support to a number of T… #18633

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3 changes: 2 additions & 1 deletion keras/backend/common/dtypes_test.py
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Expand Up @@ -4,7 +4,6 @@
from keras import ops
from keras.backend.common import dtypes
from keras.backend.common.variables import ALLOWED_DTYPES
from keras.backend.torch.core import to_torch_dtype
from keras.testing import test_case
from keras.testing.test_utils import named_product

Expand All @@ -13,6 +12,8 @@ class DtypesTest(test_case.TestCase, parameterized.TestCase):
"""Test the dtype to verify that the behavior matches JAX."""

if backend.backend() == "torch":
from keras.backend.torch.core import to_torch_dtype

# TODO: torch doesn't support uint64.
ALL_DTYPES = []
for x in ALLOWED_DTYPES:
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2 changes: 2 additions & 0 deletions keras/backend/tensorflow/core.py
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Expand Up @@ -94,6 +94,8 @@ def convert_to_tensor(x, dtype=None, sparse=True):
def convert_to_numpy(x):
if isinstance(x, tf.SparseTensor):
x = tf.sparse.to_dense(x)
elif isinstance(x, tf.IndexedSlices):
x = tf.convert_to_tensor(x)
return np.array(x)


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