how to convert to core model

[zhouyijian]

like this?

import torch
import onnx
import coremltools as ct

构建PyTorch模型

model = ...

定义输入样本，假设输入维度为(1, 1, 44100)，即单通道、采样率为44100的音频数据

input_shape = (1, 1, 44100)
input_sample = torch.randn(*input_shape)

将模型转换为ONNX模型

onnx_model_path = 'model.onnx'
torch.onnx.export(model, input_sample, onnx_model_path, input_names=['input'], output_names=['output'], opset_version=12)

将ONNX模型转换为Core ML模型

coreml_model_path = 'model.mlmodel'
coreml_model = ct.converters.onnx.convert(onnx_model_path, minimum_ios_deployment_target='13')
coreml_model.save(coreml_model_path)