wehub-resource-sync
82 lines
2.5 KiB
Python
82 lines
2.5 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import numpy as np
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from dygraph_to_static_utils import (
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Dy2StTestBase,
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test_phi_only,
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test_sot_mgs0_only,
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)
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import paddle
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# Enable persistent mode for parameters in dy2st
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paddle.set_flags({'FLAGS_parameters_persistent_mode_in_dy2st': True})
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class NetWithParameters(paddle.nn.Layer):
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def __init__(self, in_size, out_size):
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super().__init__()
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self.weight = self.create_parameter([in_size, out_size])
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self.bias = self.create_parameter([out_size], is_bias=True)
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def forward(self, x):
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out = paddle.matmul(x, self.weight)
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out = paddle.add(out, self.bias)
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out = paddle.tanh(out)
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return out
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class TestParametersPersistentMode(Dy2StTestBase):
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def setUp(self):
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paddle.seed(1127)
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np.random.seed(1127)
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def run_forward(self, net, inputs):
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outs = []
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for data in inputs:
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outs.append(net(data))
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return outs
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def test_persistent_mode(self):
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net = NetWithParameters(10, 3)
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net.eval()
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inputs = [paddle.randn([2, 10], dtype='float32') for _ in range(5)]
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dy_outs = self.run_forward(net, inputs)
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st_net = paddle.jit.to_static(net)
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st_outs = self.run_forward(st_net, inputs)
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for dy_out, st_out in zip(dy_outs, st_outs):
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np.testing.assert_allclose(
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dy_out.numpy(), st_out.numpy(), rtol=1e-05, atol=1e-05
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)
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@test_sot_mgs0_only
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@test_phi_only
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def test_training_mode_error(self):
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net = NetWithParameters(10, 3)
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net.train()
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inputs = [paddle.randn([2, 10], dtype='float32')]
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st_net = paddle.jit.to_static(net)
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with self.assertRaisesRegex(
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RuntimeError,
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"Currently parameters persistent mode only support forward process",
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):
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self.run_forward(st_net, inputs)
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if __name__ == "__main__":
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unittest.main()
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