51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
# coding=utf-8
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# Copyright 2023 HuggingFace Inc.
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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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from transformers import load_tool
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from transformers.utils import is_torch_available
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if is_torch_available():
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import torch
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from transformers.testing_utils import require_torch
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from .test_tools_common import ToolTesterMixin
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@require_torch
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class TextToSpeechToolTester(unittest.TestCase, ToolTesterMixin):
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def setUp(self):
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self.tool = load_tool("text-to-speech")
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self.tool.setup()
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def test_exact_match_arg(self):
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# SpeechT5 isn't deterministic
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torch.manual_seed(0)
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result = self.tool("hey")
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resulting_tensor = result.to_raw()
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self.assertTrue(len(resulting_tensor.detach().shape) == 1)
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self.assertTrue(resulting_tensor.detach().shape[0] > 1000)
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def test_exact_match_kwarg(self):
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# SpeechT5 isn't deterministic
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torch.manual_seed(0)
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result = self.tool("hey")
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resulting_tensor = result.to_raw()
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self.assertTrue(len(resulting_tensor.detach().shape) == 1)
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self.assertTrue(resulting_tensor.detach().shape[0] > 1000)
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