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paddlepaddle--paddle/test/dygraph_to_static/test_optional_tensor.py
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2026-07-13 12:40:42 +08:00

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Python

# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
import numpy as np
from dygraph_to_static_utils import Dy2StTestBase
import paddle
def call_fused_rms_norm(x, y):
return paddle.incubate.nn.functional.fused_rms_norm(
x,
y,
None,
1e-6,
begin_norm_axis=1,
)
class TestOptionalTensorOutput(Dy2StTestBase):
def test_fused_rms_norm(self):
if not paddle.is_compiled_with_cuda():
return
fn = call_fused_rms_norm
static_fn = paddle.jit.to_static(fn)
x = paddle.randn([1410, 5120], dtype='float32')
y = paddle.randn([5120], dtype='float32')
x.stop_gradient = False
out_1_dy, out_2_dy = fn(x, y)
out_1_st, out_2_st = static_fn(x, y)
np.testing.assert_allclose(
out_1_dy.numpy(), out_1_st.numpy(), atol=1e-6, rtol=1e-6
)
self.assertFalse(out_2_dy._is_initialized())
self.assertFalse(out_2_st._is_initialized())
if __name__ == '__main__':
unittest.main()