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chore: import upstream snapshot with attribution
2026-07-13 13:36:55 +08:00

37 lines
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Python

#
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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.
#
from polygraphy.common import TensorMetadata
from polygraphy.datatype import DataType
class TestTensorMetadata:
def test_str(self):
meta = TensorMetadata().add("X", dtype=DataType.FLOAT32, shape=(64, 64))
assert str(meta) == "{X [dtype=float32, shape=(64, 64)]}"
def test_str_no_dtype(self):
meta = TensorMetadata().add("X", dtype=None, shape=(64, 64))
assert str(meta) == "{X [shape=(64, 64)]}"
def test_str_no_shape(self):
meta = TensorMetadata().add("X", dtype=DataType.FLOAT32, shape=None)
assert str(meta) == "{X [dtype=float32]}"
def test_str_no_meta(self):
meta = TensorMetadata().add("X", dtype=None, shape=None)
assert str(meta) == "{X}"