Abhishek Mishra 00b6e59123 mlearning/tflite-micro: make the tflm tool run real models ... The tflm tool could only allocate a model: it knew nine operators, ran Invoke() on uninitialized input, and never printed the result. The 64 KB MicroProfiler also lived on the 4 KB task stack. Register the operators a model uses (about 90 builtins), verify the file with the FlatBuffers verifier, and add: -I print operators, input/output tensors and arena usage -d comma separated input values, quantized automatically -x raw input tensor file -n repeat inference and print the average Invoke() time Outputs are printed dequantized with argmax. Inputs are restored before every run because the planner may reuse their buffers. The resolver, profiler and interpreter are allocated on the heap. Signed-off-by: Abhishek Mishra <mishra.abhishek2808@gmail.com>		2026-10-01 23:18:31 +08:00
..
cmsis	mlearning: migrate to SPDX identifier	2024-12-21 13:53:10 +08:00
cmsis-nn	math: fixed the header file	2026-08-11 15:38:46 -04:00
darknet	mlearning/tflite-micro: enable Makefile hello-world and usable tflm	2026-09-10 09:48:24 +02:00
libnnablart	mlearning: migrate to SPDX identifier	2024-12-21 13:53:10 +08:00
tflite-micro	mlearning/tflite-micro: make the tflm tool run real models	2026-10-01 23:18:31 +08:00
.gitignore	add Machine Learning folder and menu	2022-01-27 17:33:16 +08:00
CMakeLists.txt	mlearning: migrate to SPDX identifier	2024-12-21 13:53:10 +08:00
Make.defs	mlearning: migrate to SPDX identifier	2024-12-21 13:53:10 +08:00
Makefile	mlearning: migrate to SPDX identifier	2024-12-21 13:53:10 +08:00