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Hi,
I'm attempting to compile an QDQ model with the config option:
```
'optional_options' :
{
'advanced_options:prequantized_model': 1,
}
```
but it seems…
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Comparing mobilenet v1 and v2 for **inferencing** on the **CPU**, I have observed some surprising numbers:
1. For v1, my inference time was about 148ms on average. For **v2, the average was 185ms …
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大佬,你使用的mobilenet 是不是修改过的,因为它的输入是192*192而不是224*224,小白提问。
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Is there weights pretrained on the ImageNet for initializing MobileNet V2 base net?
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I was just wondering if someone already tried to convert the model architecture to MobileNet-v2? It seems to be very similar to the used resnet bottleneck structure but inference would prop. way faste…
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### Description
I am working with ModelMesh Serving deployed on a Kubernetes cluster and I am looking for a way to control the number of replicas for a specific model. My setup includes a Triton runt…
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Can train and test sample android project work with MobileNet v2?
https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet
`--tfhub_module https://tfhub.dev/google/imagenet/mo…
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## ❓Question
I have an SSD MobileNet V2 model trained with Tensorflow Object detection API. How can I convert it to coreml?
I tried the following steps but it did not work:
- Convert checkpoint…
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I'm trying to compile MobilenetV2 with torch_mlir, but I get the following error
```
Traceback (most recent call last):
File ".........../mobilnet/main.py", line 44, in
module = torch_mlir.…
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I'm trying to apply Channelwise Pruning. There persists few issues,
1. However, a few layers were not able to be pruned; the list of layers is printed out via the try and except call!
2. While loa…