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Hello, I ran the object_detection_cv in google collab and then tried to convert to tflite. The conversion succeeds but there are no signatures. Inference requires at least the default signature, which…
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Hello,
TensorFlow Lite currently supports depth-wise convolutions through ` tf.keras.layers.DepthwiseConv2D` and ` tf.nn.depthwise_conv2d` layers that are converted into TFL `DEPTHWISE_CONV_2D` ope…
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@PaulTR I am curious about the plans to support web. Are there any plans on your side?
As this package is tflite and not tfjs I am curious if we could load the wasm binary to support the web as tar…
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Just creating this issue to document ongoing investigation.
```
DIM1
product: FAIL (1.52s)
✗ failed at test/nofib/Data/Array/Accelerate/Test/NoFib/Prelude/Fold.hs:84:3
…
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I have been experimenting with convert_tflite.py script to convert yolov4 to quantized tf lite model. The command I ran is:
python convert_tflite.py --weights ./checkpoints/yolov4-416 --output ./ch…
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**My environment is:**
- Python version: 3.6
- ONNX version: 1.11.0
- ONNX-TF version: 1.10.0
- Tensorflow-gpu version: 2.5.0
**My final goal:**
ONNX model convert to tflite.
**Quest…
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### Description
Hi Team,
We should be able to change both revision and channel at the same time using the Juju provider.
When trying to do so currently we get this message:
```
│ Warning: Not S…
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* origin: https://github.com/Samsung/ONE/issues/13697
* first try by @jongwonyang, https://github.com/Samsung/ONE/pull/13912
While reviewing above PR, I think we need to make some consensus abou…
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After TF Lite quantization the size of Yolov4 tiny model is reduced indeed. But the latency is increasing. For dynamic-range quantization up to 2-3 times. For int8 - up to 4-5 times. I tested it on de…