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57 lines
2.0 KiB
Python
57 lines
2.0 KiB
Python
# Copyright (c) 2020, NVIDIA CORPORATION. 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 os
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import tempfile
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import pytest
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import torch
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from nemo.collections.tts.models import FastPitchModel, HifiGanModel
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@pytest.fixture()
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def fastpitch_model():
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model = FastPitchModel.from_pretrained(model_name="tts_en_fastpitch")
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model.export_config['enable_volume'] = True
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# model.export_config['enable_ragged_batches'] = True
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return model
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@pytest.fixture()
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def hifigan_model():
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model = HifiGanModel.from_pretrained(model_name="tts_en_hifigan")
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return model
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class TestExportable:
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@pytest.mark.pleasefixme
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@pytest.mark.run_only_on('GPU')
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@pytest.mark.unit
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def test_FastPitchModel_export_to_onnx(self, fastpitch_model):
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model = fastpitch_model.cuda()
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with tempfile.TemporaryDirectory() as tmpdir:
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filename = os.path.join(tmpdir, 'fp.onnx')
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model.export(output=filename, verbose=True, onnx_opset_version=14, check_trace=True, use_dynamo=True)
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@pytest.mark.pleasefixme
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@pytest.mark.with_downloads()
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@pytest.mark.run_only_on('GPU')
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@pytest.mark.unit
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def test_HifiGanModel_export_to_onnx(self, hifigan_model):
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model = hifigan_model.cuda()
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assert hifigan_model.generator is not None
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with tempfile.TemporaryDirectory() as tmpdir:
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filename = os.path.join(tmpdir, 'hfg.onnx')
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model.export(output=filename, use_dynamo=True, verbose=True, check_trace=True)
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