kushalpatil07

I have ran testMNNFromOnnx.py. The test passes when given random input `np.random.uniform(0, 12, shapes)`. When I edited the script to take `np.zeros(shapes)` as input, the test fails. On a side...

hey @jxt1234 is someone looking into this? I would really appreciate the help :)

`testMNNFromOnnx.py TEST_SUCCESS means MNN is right.` I feel we are having a misunderstanding, What do you mean by this exactly? I am giving you an example `mosaic.onnx` and `mosaic.mnn` with...

There is also another disparity we are observing. @jxt1234 The testScript shared is **giving very different results** on Mac and Linux machines on np.ones and np.zeros. **Test Setup of Linux...

We want [ONNX custom build](https://onnxruntime.ai/docs/build/custom.html#build-option-to-reduce-build-to-required-operator-kernels) in MNN. Any way to use this feature in MNN?