pt转tflite

您可以使用TensorFlow中的TFLiteConverter将pt模型转换为tflite模型。以下是基本步骤：

1.安装TensorFlow和PyTorch

2.加载PyTorch模型并将其转换为TensorFlow模型

import torch
import tensorflow as tf
from torch.autograd import Variable

# load PyTorch model
model = torch.load('model.pt')

# create TensorFlow model
input_tensor = tf.placeholder(tf.float32, [1, 3, 224, 224])
with tf.variable_scope('model'):
    output_tensor = model(Variable(torch.Tensor(1, 3, 224, 224)).cuda()).cpu().data.numpy()

# save TensorFlow model
saver = tf.train.Saver()
with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    saver.save(sess, 'model.ckpt')

3.使用TFLiteConverter将TensorFlow模型转换为tflite模型

import tensorflow as tf

converter = tf.lite.TFLiteConverter.from_saved_model('model.ckpt')
tflite_model = converter.convert()
open('model.tflite', 'wb').write(tflite_model)

请注意，pt模型转换为tflite模型可能会涉及一些额外的调整。转换后，您应该对模型进行测试，以确保其在新环境中正常运行。