Is the Tensorflow Lite AAR(nightly version) release includes arm/arm64 binaries?
On Android, my model inference is slower using tflite(80-100ms) than tfmobile(60-70ms). Since my Android phone instruction set is arm64
, I'm suspecting that the recent Tensorflow lite AAR I used (nightly version) might did not include the arm/arm64
binary during building from source which might causes the higher inference in tflite.
Thank you.
tensorflow-lite
add a comment |
On Android, my model inference is slower using tflite(80-100ms) than tfmobile(60-70ms). Since my Android phone instruction set is arm64
, I'm suspecting that the recent Tensorflow lite AAR I used (nightly version) might did not include the arm/arm64
binary during building from source which might causes the higher inference in tflite.
Thank you.
tensorflow-lite
add a comment |
On Android, my model inference is slower using tflite(80-100ms) than tfmobile(60-70ms). Since my Android phone instruction set is arm64
, I'm suspecting that the recent Tensorflow lite AAR I used (nightly version) might did not include the arm/arm64
binary during building from source which might causes the higher inference in tflite.
Thank you.
tensorflow-lite
On Android, my model inference is slower using tflite(80-100ms) than tfmobile(60-70ms). Since my Android phone instruction set is arm64
, I'm suspecting that the recent Tensorflow lite AAR I used (nightly version) might did not include the arm/arm64
binary during building from source which might causes the higher inference in tflite.
Thank you.
tensorflow-lite
tensorflow-lite
edited Nov 20 at 7:50
mmvsbg
2,109153857
2,109153857
asked Nov 18 at 6:58
Jazzystring
12
12
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