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For op fusion (like the fusion of conv and bn), we have implemented a "small onnxruntime" in [tensor.h](https://github.com/onnx/onnx/blob/master/onnx/common/tensor.h#L174-L368). It increases the workl…
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**Version and Platform (required):**
- Binary Ninja Version: 4.1.5474-dev, f6ba0af7
- OS: macos
- OS Version: 14.5
- CPU Architecture: arm64
Internal binary `major dine favor`.
`_DjiAircraft…
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I use the AIMET PTQ to quantize the CLIP text model.
But I encounter this error [KeyError: 'Graph has no buffer /text_model/encoder/layers.0/layer_norm1/Constant_output_0, referred to as input for …
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### Describe the bug
When using the Chop Trees zone action to clear trees, when chopping down fully sized trees, it only generates 1-2 trunks to be chopped into logs, compared to the 3-4 generated wh…
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Hello,
I have a Versal hardware platform implemented on VCK190, with Petalinux running on top of Dual-core A72, plus AI engine connected, and I am trying to compile a custom neural network with Viti…
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For the configuration file, I only changed the data path and the number of categories.Run the following code:
python tools/train.py configs/consistent-teacher/consistent_teacher_r50_fpn_coco_180k_10p…
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"self.current_input_max = F.max(F.abs(x), axis=(1, 2, 3)).mean().asscalar()" inside "def _conv2d_forward", this will create symbol node, and should cause error because asscalar() is not supported in s…
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It seems that the encoding in the original version depends on the training set. In that case, we need a routine that can map any new sequence into the same feature space. I made some quick changes in …
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Is it possible to support conv-bn fold with [QDQ](https://onnxruntime.ai/docs/performance/model-optimizations/quantization.html#onnx-quantization-representation-format) node inserted and bn-conv fold…