wehub-resource-sync
71 lines
2.3 KiB
Python
71 lines
2.3 KiB
Python
# Copyright (c) 2024 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 tensorrt_test_base import TensorRTBaseTest
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import paddle
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class TestOneHotCase1TRTPattern(TensorRTBaseTest):
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def setUp(self):
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self.python_api = paddle.nn.functional.one_hot
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self.api_args = {
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"x": np.random.randint(0, 2, size=(3, 1)).astype("int64"),
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"num_classes": np.array([2], dtype="int64"),
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}
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self.dynamic_shape_data = {
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"x": lambda shape: np.random.randint(0, 2, size=shape).astype(
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"int64"
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),
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"num_classes": lambda shape: np.array([2], dtype="int64"),
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}
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self.program_config = {"feed_list": ["x", "num_classes"]}
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self.min_shape = {"x": [1, 1]}
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self.opt_shape = {"x": [3, 1]}
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self.max_shape = {"x": [6, 1]}
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def test_trt_result(self):
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self.check_trt_result()
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class TestOneHotCase2TRTPattern(TensorRTBaseTest):
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def setUp(self):
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self.python_api = paddle.nn.functional.one_hot
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self.num_classes = 2
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self.api_args = {
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"x": np.random.randint(0, 2, size=(3, 1)).astype(
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"int64"
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), # Random integers between 0 and num_classes
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"num_classes": self.num_classes,
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}
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self.dynamic_shape_data = {
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"x": lambda shape: np.random.randint(
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0, self.num_classes, size=shape
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)
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}
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self.program_config = {"feed_list": ["x"]}
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self.min_shape = {"x": [1, 1]}
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self.opt_shape = {"x": [3, 1]}
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self.max_shape = {"x": [6, 1]}
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def test_trt_result(self):
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self.check_trt_result()
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if __name__ == '__main__':
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unittest.main()
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