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Fix: Preserve input dtype in Dropout layer output (#1323)

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* Fix: Preserve input dtype in Dropout layer output

- Modified Dropout implementation to ensure that the output dtype matches the input dtype.
- This resolves the issue #1321

* Update test cases in test_nn.py

- Revised test cases to align with updated dropout code
- Fixed assertion method: replaced self.assertTrue with self.assertEqual for accurate comparisons in test_nn.py -> test_rope, test_alibi and test_dropout,

* updated dropout.py
This commit is contained in:
Bhargav Yagnik
2024-08-13 14:54:21 -04:00
committed by GitHub
parent 1086dc4db0
commit a098bc92e0
2 changed files with 29 additions and 29 deletions
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6
python/mlx/nn/layers/dropout.py
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@@ -32,7 +32,7 @@ class Dropout(Module):
mask = mx.random.bernoulli(self._p_1, x.shape)
return (1 / self._p_1) * mask * x
return (mask * x) * (1 / self._p_1)
class Dropout2d(Module):
@@ -85,7 +85,7 @@ class Dropout2d(Module):
mask_shape[-2] = mask_shape[-3] = 1
mask = mx.random.bernoulli(p=self._p_1, shape=mask_shape)
return (1 / self._p_1) * mask * x
return (mask * x) * (1 / self._p_1)
class Dropout3d(Module):
@@ -134,4 +134,4 @@ class Dropout3d(Module):
mask_shape[-2] = mask_shape[-3] = mask_shape[-4] = 1
mask = mx.random.bernoulli(p=self._p_1, shape=mask_shape)
return (1 / self._p_1) * mask * x
return (mask * x) * (1 / self._p_1)