diff options
| author | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2021-05-20 11:18:53 +0100 |
|---|---|---|
| committer | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2021-05-20 12:57:49 +0000 |
| commit | e12ac836d2110403475d0e8b4bdfec03a0874f6c (patch) | |
| tree | 2f4ac0a379cd2cf6d5ad9bc11c2a0c14abb740c3 /docs/sections | |
| parent | 659fcd951ac18d1ee7737a6ddf6a3ec162c73ca5 (diff) | |
| download | ml-embedded-evaluation-kit-e12ac836d2110403475d0e8b4bdfec03a0874f6c.tar.gz | |
MLECO-1883: Updating wav2letter model
Using the new pruned wav2letter model from Arm Model Zoo.
The new model when optimised by Vela, produces a tflite
file ~10 MB smaller than the current.
Change-Id: I4ab6007c5b6111f41d8097e29b2af6cde2abc457
Diffstat (limited to 'docs/sections')
| -rw-r--r-- | docs/sections/memory_considerations.md | 8 |
1 files changed, 3 insertions, 5 deletions
diff --git a/docs/sections/memory_considerations.md b/docs/sections/memory_considerations.md index 48651f1..4727711 100644 --- a/docs/sections/memory_considerations.md +++ b/docs/sections/memory_considerations.md @@ -1,7 +1,5 @@ # Memory considerations -## Contents - - [Memory considerations](#memory-considerations) - [Introduction](#introduction) - [Understanding memory usage from Vela output](#understanding-memory-usage-from-vela-output) @@ -114,9 +112,9 @@ under [Total SRAM used](#total-sram-used). - 638.6 KiB of SRAM - 3.1 MB of flash memory. -- [Automated speech recognition](https://github.com/ARM-software/ML-zoo/tree/master/models/speech_recognition/wav2letter/tflite_int8) requires - - 635.3 KiB of SRAM - - 21.1 MB of flash memory. +- [Automated speech recognition](https://github.com/ARM-software/ML-zoo/tree/1a92aa08c0de49a7304e0a7f3f59df6f4fd33ac8/models/speech_recognition/wav2letter/tflite_pruned_int8) requires + - 655.16 KiB of SRAM + - 13.42 MB of flash memory. ## Memory constraints |