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【Hackathon 5th No.45】convert torch.optim.Optimizer.zero_grad -part #361

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42 changes: 42 additions & 0 deletions tests/test_optim_Optimizer_zero_grad.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
# Copyright (c) 2023 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 textwrap

from apibase import APIBase

obj = APIBase("torch.optim.Optimizer.zero_grad")


def test_case_1():
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn as nn

x = torch.randn(1, 2, 10)
model = nn.Linear(10, 20)
optimizer = torch.optim.Optimizer(params=model.parameters(), defaults={"learning_rate": 1.0})
out = model(x)
out.backward()
optimizer.step()
result = optimizer.zero_grad()
"""
)
obj.run(
pytorch_code,
["result"],
unsupport=True,
reason="paddle does not support this function temporarily",
)