recommended to move them tocpuas running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16operations on this device in PyTorch. Please, remove thetorch_dtype=torch.float16argument, or use another device for ...
TensorFlow saved_model: export failure: can’t convert cuda:0 device type tensor to numpy. 对于此类问题,作者在issue中的统一回答是:新版本已解决了该问题,请使用新版本。 然而,直接使用新版本毕竟不方便,因为在工程中很可能已经做了很多别的修改,使用新版本会直接覆盖这些修改。因此,解决思路是用新版本的修...
Currently, we convert the weight to float16 during quantization. However, since we have done significant performance improvements with bfloat16 quantization, I am wondering if we can also support for bfloat16 during quantization. https:/...
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v = tf.Variable(0, dtype=tf.float32, name="v") saver = tf.train.Saver({"v/ExponentialMovingAverage": v}) with tf.Session() as sess: saver.restore(sess, "./Model/model_ema.ckpt") print(sess.run(v)) # 0.0999999 # Part7: 通过tf.train.ExponentialMovingAverage的variables_to_restore...
Helper to convert a path expressed relative to a model file to one expressed relative to a template. C# 复制 [System.Security.SecurityCritical] protected static string ConvertModelRelativePathToTemplateRelativePath(string modelPath, string tem...
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I have been trying to quantize YOLOX from float32 to int8. After that, I want that onnx output to be converted into TensorRT engine. Quantization process seems OK, however I get several different exceptions while trying…
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1080000=300*300*3(通道数)*4(输入为float32) 这样的差异是模型转换时参数不全且需要开启aipp,可以参考下方链接中的模型转换命令,转换模型并配置aipp文件,保证转换的模型与代码是适配的: https://gitee.com/ascend/samples/tree/master/cplusplus/level2_simple_inference/2_object_detection/face_detection_camera/...