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author | Jonny Svärd <jonny.svaerd@arm.com> | 2023-06-12 13:06:05 +0200 |
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committer | Jonny Svärd <jonny.svaerd@arm.com> | 2023-06-12 13:06:05 +0200 |
commit | 114c2379d746ff30aa12f5977fb4c2e2abc51fd8 (patch) | |
tree | e1141c0b2532b8aa936149dcc341c5a477460498 | |
parent | 87c0cce274abf4766400049f372019f86e6ab96d (diff) | |
download | ethos-u-114c2379d746ff30aa12f5977fb4c2e2abc51fd8.tar.gz |
Minor README formatting fix
Change-Id: I4239e7d4862115d6124900ee5b24688e01ea8c3b
-rw-r--r-- | README.md | 9 |
1 files changed, 6 insertions, 3 deletions
@@ -108,9 +108,12 @@ There's a discrepancy in tensorflow/lite/micro/cortex_m_corstone_300/README.md f ## TensorFlow Lite for Microcontrollers Out of Memory Error during Runtime During runtime the TensorFlow Lite for Microcontrollers framework might report -the following fatal error: -`Failed to resize buffer. Requested: X, available: Y, missing: Z`, where X, Y -and Z are numbers of bytes and X = Y + Z. +the following fatal error: + +```Failed to resize buffer. Requested: X, available: Y, missing: Z``` + +where X, Y and Z are numbers of bytes and X = Y + Z. + There can be several reasons for running out of memory during an inference but one cause is that too much memory was allocated to the Ethos-U during the offline compilation phase of the `.tflite` file using Vela. This can result in |