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Copy pathtest_Generator.py
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# 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
import paddle
from apibase import APIBase
class GeneratorAPIBase(APIBase):
def compare(
self,
name,
pytorch_result,
paddle_result,
check_value=True,
check_shape=True,
check_dtype=True,
check_stop_gradient=True,
rtol=1.0e-6,
atol=0.0,
):
assert isinstance(paddle_result, paddle.framework.core.Generator)
obj = GeneratorAPIBase("torch.Generator")
def test_case_1():
pytorch_code = textwrap.dedent(
"""
import torch
result = torch.Generator(device='cpu')
"""
)
obj.run(pytorch_code, ["result"])
def test_case_2():
pytorch_code = textwrap.dedent(
"""
import torch
result = torch.Generator()
"""
)
obj.run(pytorch_code, ["result"])
def test_case_3():
pytorch_code = textwrap.dedent(
"""
import torch
result = torch.Generator('cpu')
"""
)
obj.run(pytorch_code, ["result"])
def test_case_4():
pytorch_code = textwrap.dedent(
"""
import torch
if torch.cuda.is_available():
result = torch.Generator('cuda')
else:
result = torch.Generator('cpu')
"""
)
obj.run(pytorch_code, ["result"])
def test_case_5():
pytorch_code = textwrap.dedent(
"""
import torch
if torch.cuda.is_available():
result = torch.Generator(device='cuda')
else:
result = torch.Generator(device='cpu')
"""
)
obj.run(pytorch_code, ["result"])