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#
# 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
import paddle
from paddleformers.transformers.activations import ACT2FN

from fastdeploy.model_executor.ops.gpu import gelu_tanh


class TestGeluTanh(unittest.TestCase):
    def setUp(self):
        paddle.set_device("gpu")
        np.random.seed(42)

    def test_gelu_tanh(self):
        x = paddle.randn(2048, 4096)
        y0 = ACT2FN["gelu_new"](x)
        y1 = gelu_tanh(x)
        np.testing.assert_allclose(
            y0.cast("float32").numpy(),
            y1.cast("float32").numpy(),
            rtol=1e-04,
            atol=1e-04,
        )


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