11 Commits

Author	SHA1	Message	Date
tsukumi	d935d30e4c	Add: test code for CoreMLExecutionProvider on a trial basis ... Currently ONNXRuntime's CoreML support is not very good, and on my environment, I get errors like “coreml_execution_provider.cc:192 operator() Input (/sdp/flows.3/GatherND_2_output_0) has a dynamic shape ({-1,-1}) but the runtime shape ({0,10}) has zero elements. This is not supported by the CoreML EP.” and inference fails. I hope this will be fixed in a future version of ONNXRuntime, and leave the test code as it is.	2024-09-23 21:07:27 +09:00
tsukumi	08af692835	Fix: PyTorch inference test	2024-09-23 15:20:52 +09:00
tsukumi	c792bf9a0d	Improve: Make ONNX inference tests more rigorous	2024-09-23 12:27:29 +09:00
tsukumi	f21f6435ad	Improve: Add test code for ONNX inference with DmlExecutionProvider	2024-09-23 10:54:29 +09:00
tsukumi	eb5d245903	Add: Test for ONNX inference code (without PyTorch dependency)	2024-09-23 10:04:02 +09:00
tsukumi	7d721fdf2b	Fix: CUDAExecutionProvider was not being used to infer Style-Bert-VITS2 ONNX models even though CUDA was available	2024-09-18 04:37:23 +09:00
litagin02	8baecb138a	Skip cuda test	2024-03-13 11:54:24 +09:00
litagin02	c776c08235	Apply black formatter	2024-03-11 09:47:47 +09:00
tsukumi	7f02b0f1d5	Refactor: TTSModelInfo changed from TypedDict to Pydantic model ... Pydantic models are more robust and properties can be accessed by dots.	2024-03-10 19:21:22 +00:00
tsukumi	cdc47a98ce	Improve: test code	2024-03-10 11:16:09 +00:00
tsukumi	afff154da4	Add: test code for style-bert-vits2 as a library ... By executing "hatch run test:test", you can check whether the test passes in all Python 3.9 to 3.12 environments.	2024-03-10 04:18:39 +00:00