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Fix TensorFlowTensor.index_update by casting values to dtype of the raw tensor #59

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Fix TensorFlowTensor.index_update by casting values to dtype of the raw tensor #59

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6 changes: 3 additions & 3 deletions eagerpy/tensor/tensorflow.py
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Original file line number Diff line number Diff line change
Expand Up @@ -336,7 +336,7 @@ def index_update(
x = self.raw
if isinstance(indices, int):
if isinstance(values_, int) or isinstance(values_, float):
values_ = tf.fill(x.shape[-1:], values_)
values_ = tf.cast(tf.fill(x.shape[-1:], values_), x.dtype)
return type(self)(
tf.tensor_scatter_nd_update(x, [[indices]], values_[None])
)
Expand All @@ -350,7 +350,7 @@ def index_update(
):
x = tf.transpose(x)
if isinstance(values_, int) or isinstance(values_, float):
values_ = tf.fill(x.shape[-1:], values_)
values_ = tf.cast(tf.fill(x.shape[-1:], values_), x.dtype)
result = tf.tensor_scatter_nd_update(x, [[indices[-1]]], values_[None])
return type(self)(tf.transpose(result))
else:
Expand All @@ -363,7 +363,7 @@ def index_update(
]
indices = tf.stack(indices, axis=-1)
if isinstance(values_, int) or isinstance(values_, float):
values_ = tf.fill((indices.shape[0],), values_)
values_ = tf.cast(tf.fill((indices.shape[0],), values_), x.dtype)
return type(self)(tf.tensor_scatter_nd_update(x, indices, values_))
else:
raise ValueError # pragma: no cover
Expand Down