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

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3.8 KiB
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
SEED = 2025
np.random.seed(SEED)
paddle.seed(SEED)
class TestItem(Dy2StTestBase):
@classmethod
def _create_tensor(cls, shape=None, dtype="float32"):
if shape is None:
shape = [3, 4, 5]
return paddle.rand(shape, dtype=dtype)
def test_no_args(self):
t = self._create_tensor([1])
def dynamic_forward(x):
return x.item()
static_forward = paddle.jit.to_static(dynamic_forward)
dynamic_result = dynamic_forward(t)
static_result = static_forward(t)
self.assertEqual(dynamic_result, static_result)
def test_1_arg(self):
shape_list = [
[9],
[3, 5],
[2, 3, 4],
[3, 3, 3, 3, 3, 3],
]
for shape in shape_list:
t = self._create_tensor(shape)
def dynamic_forward(x):
return x.item(6)
static_forward = paddle.jit.to_static(dynamic_forward)
dynamic_result = dynamic_forward(t)
static_result = static_forward(t)
self.assertEqual(dynamic_result, static_result)
def test_n_arg(self):
shape_and_idx_list = [
[[3, 5], [1, 3]],
[[2, 3, 4], [0, 2, 1]],
[[2, 3, 4, 5], [0, 1, 3, 0]],
[[3, 3, 3, 3, 3, 3], [1, 1, 1, 1, 1, 0]],
]
for shape, idx in shape_and_idx_list:
t = self._create_tensor(shape)
def dynamic_forward(x, idx):
return x.item(*idx)
static_forward = paddle.jit.to_static(dynamic_forward)
dynamic_result = dynamic_forward(t, idx)
static_result = static_forward(t, idx)
self.assertEqual(dynamic_result, static_result)
def test_error(self):
def test_raise_error(t, exception_type, expected_exception_str, *args):
def dynamic_forward(x):
return x.item(*args)
static_forward = paddle.jit.to_static(dynamic_forward)
with self.assertRaisesRegex(exception_type, expected_exception_str):
static_forward(t)
with self.assertRaisesRegex(exception_type, expected_exception_str):
dynamic_forward(t)
t = self._create_tensor([8, 8, 8], "float32")
test_raise_error(
t,
ValueError,
"only one element tensors can be converted to "
"Python scalars when no input coordinates",
)
test_raise_error(
t, ValueError, "index (.)* is out of bounds for size (.)*", 10000
)
test_raise_error(
t, ValueError, "incorrect number of indices for Tensor", 6, 7
)
test_raise_error(
t,
TypeError,
r"argument \(position (.)* must be long, but got",
6.0,
7.0,
1.0,
)
test_raise_error(
t,
ValueError,
r"index (.)* is out of bounds for axis (.)* with size (.)*",
9,
9,
9,
)
if __name__ == '__main__':
unittest.main()