deepC
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vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
Hi. Recently, I tried to compile a pre-trained speech enhancement model on your website Cainvas (Model: DTLN https://github.com/breizhn/DTLN#real-time-processing-with-the-savedmodel-format). However, there was an error while compiling the model, but did not...
Hello Rohit, I tried to use tensorflowLite converter to compress CNN model, according to the methodology here: https://towardsdatascience.com/a-basic-introduction-to-tensorflow-lite-59e480c57292. I did have created tflite model and the size of the model...
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Hi, After installing deepC, I am trying to test if it is working. I see the following error. Any suggestion regarding this error? Environment: Mac OS ``` (base) MU00158281X:~ mmoh0027$...
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in 1 knn = iris_knn() ----> 2 knn.fit() 3 knn.announce() in fit(self, k) 22 for i in range(len(self.features)): 23 feature = dc.array(self.features[i]) --->...
So far the compiled library seems to do not contain weights, is it possible to embed the weights into the binary?
Using WinMLTools floating point 32 into 8-bit integer optimization results in the following error: ``` Traceback (most recent call last): File "/usr/local/bin/onnx-cpp", line 11, in load_entry_point('deepC==0.13', 'console_scripts', 'onnx-cpp')() File "/usr/local/lib/python3.6/dist-packages/deepC/scripts/onnx2cpp.py",...
When converting the included model with onnx-cpp it throws the following error: ``` reading onnx model from file optimized.onnx Model info: ir_vesion : 4 doc : INFO (ONNX): writing model...
Probably a known issue, but I thought I'd report it here anyway. `make TEST` produces the following `SWIG` related errors: ``` Running tests in ===|swig|=== ---------------------------------------------------------------------- Ran 726 tests in...
 Input size is [N, 1, 32, 1025]. Output size is [N, 1]. See full model below. 