Niranjan Yadla

Results 46 comments of Niranjan Yadla

@usimarit Please help me on this . thanks in advance

@usimarit also it may be good idea to add pretrained models to Github(like .h5 keras model,.tflite model and other required files to run these models using python script)

@omerferhatt Please use the below Colab to reproduce the issue https://colab.research.google.com/drive/1HZgkJRkvuX_6xhceQJGC6TW-zHYhA41a?usp=sharing

I have build tensorflowlite_flex lib as below using bazel command: **bazel build -c opt --config=monolithic tensorflow/lite/delegates/flex:tensorflowlite_flex** Followed as you mentioned above and it worked for me on linux PC.! diff...

We are in the process of enabling the below kernel for TFLM on HiMax WE1 board as one of our NN models uses the Tanh kernel heavily. So we like...

@mfarag13, @JaccovG, @Hakim7267 Please comment on this.. Actually I have ported mli_krn_leaky_relu_fx8(const mli_tensor * in, mli_tensor * slope_coeffs,mli_tensor * out) to tflm,however it is not outputting expected result. if you...

@JaccovG Please refer the attached patch along with changed leaky_relu files https://drive.google.com/drive/folders/1lzRuglfxr4QXm_H2NRj3bwYyux_ZL42t?usp=sharing

Here is output of one test from tflm leaky_relu_test.cc --------------------------------------------------------------------------------------------------- Entering to prepare of is_mli_applicable params->alpha 1.0*2^-1 fixed 8: 0x40 tensor->data.int8:0x40 Exiting to prepare of is_mli_applicable Inside LeakyReluEval params->alpha:1.0*2^-1 Converted...

@JaccovG Could you please review patch and let us know your inputs