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[Eager] Remove redundancy code, fix fp16 case #42169

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merged 1 commit into from Apr 25, 2022
Merged

[Eager] Remove redundancy code, fix fp16 case #42169

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1 change: 0 additions & 1 deletion python/paddle/fluid/initializer.py
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Expand Up @@ -353,7 +353,6 @@ def __call__(self, var, block=None):
out_var = _C_ops.final_state_gaussian_random(
var.shape, self._mean, self._std_dev, self._seed, out_dtype,
place)
out_var._share_underline_tensor_to(var)

if var.dtype in [VarDesc.VarType.FP16, VarDesc.VarType.BF16]:
var_tmp = _C_ops.final_state_cast(out_var, var.dtype)
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8 changes: 7 additions & 1 deletion python/paddle/fluid/tests/unittests/test_dygraph_mnist_fp16.py
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Expand Up @@ -19,6 +19,7 @@

import paddle.fluid as fluid
from paddle.fluid.dygraph.nn import Conv2D, Pool2D, Linear
from paddle.fluid.framework import _test_eager_guard


class SimpleImgConvPool(fluid.dygraph.Layer):
Expand Down Expand Up @@ -117,7 +118,7 @@ def forward(self, inputs, label):


class TestMnist(unittest.TestCase):
def test_mnist_fp16(self):
def func_mnist_fp16(self):
if not fluid.is_compiled_with_cuda():
return
x = np.random.randn(1, 3, 224, 224).astype("float16")
Expand All @@ -129,6 +130,11 @@ def test_mnist_fp16(self):
loss = model(x, y)
print(loss.numpy())

def test_mnist_fp16(self):
with _test_eager_guard():
self.func_mnist_fp16()
self.func_mnist_fp16()


if __name__ == "__main__":
unittest.main()