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https://github.com/NVIDIA/TensorRT-LLM.git
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5955b8afba
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
87 lines
3.0 KiB
Python
87 lines
3.0 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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 tempfile
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import unittest
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# isort: off
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import tensorrt_llm
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import tensorrt as trt
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# isort: on
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class MyAddModule(tensorrt_llm.Module):
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def __init__(self):
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super().__init__()
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def forward(self, x, y):
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return x + y
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class TestBuilder(unittest.TestCase):
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def test_basic_builder_flow(self):
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tensorrt_llm.logger.set_level('verbose')
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builder = tensorrt_llm.Builder()
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builder_config = builder.create_builder_config("test", "llmTimingCache")
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builder_config.trt_builder_config.set_flag(trt.BuilderFlag.REFIT)
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model = MyAddModule()
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network = builder.create_network()
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with tensorrt_llm.net_guard(network):
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assert tensorrt_llm.default_net() == network
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assert tensorrt_llm.default_trtnet() == network.trt_network
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x = tensorrt_llm.Tensor(name='x', dtype=trt.float32, shape=[1, 1])
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y = tensorrt_llm.Tensor(name='y', dtype=trt.float32, shape=[1, 1])
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# Prepare
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network.set_named_parameters(model.named_parameters())
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# Forward
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z = model(x, y)
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z.mark_output('z', trt.float32)
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with self.assertRaises(AssertionError):
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tensorrt_llm.default_net()
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engine = builder.build_engine(network, builder_config)
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assert engine is not None
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refit_engine = builder.refit_engine(network, engine)
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assert refit_engine is not None
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builder.save_config(builder_config, tempfile.mktemp())
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def test_top_level_dont_have_functional_apis(self):
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# This did not check all the functional apis, but should already prevent
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# from .functional import * in the __init__.py
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with self.assertRaises(AttributeError):
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x = tensorrt_llm.activation
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x = tensorrt_llm.assertion
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x = tensorrt_llm.einsum
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print(x) # to avoid the delete of x
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x = tensorrt_llm.functional.activation
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x = tensorrt_llm.functional.assertion
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x = tensorrt_llm.functional.einsum
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print(x) # to avoid the delete of x
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class TestSubprocess(unittest.TestCase):
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def import_using_popen(self):
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import tensorrt_llm # isort: skip
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from subprocess import Popen
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Popen(["python3", "-c", "import tensorrt_llm"])
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if __name__ == '__main__':
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unittest.main()
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