[Eager] Remove redundancy code, fix fp16 case (#42169) (#42215)

python/paddle/fluid/initializer.py

@@ -353,7 +353,6 @@ class NormalInitializer(Initializer):
             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)

python/paddle/fluid/tests/unittests/test_dygraph_mnist_fp16.py

@@ -19,6 +19,7 @@ import numpy as np
 
 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):
@@ -117,7 +118,7 @@ class MNIST(fluid.dygraph.Layer):
 
 
 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")
@@ -129,6 +130,11 @@ class TestMnist(unittest.TestCase):
             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()