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author | Kristofer Jonsson <kristofer.jonsson@arm.com> | 2023-02-10 13:30:16 +0100 |
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committer | Kristofer Jonsson <kristofer.jonsson@arm.com> | 2023-02-10 14:29:03 +0100 |
commit | 7716cee237fcbc371a443a39dd0f4c3f6bf8d989 (patch) | |
tree | 921ed92577b029bc06176aebf0f0d6ffde89c1ef /applications | |
parent | 3f5510fa3444217a442ac2e63ae50b27c9c26cf3 (diff) | |
download | ethos-u-core-platform-7716cee237fcbc371a443a39dd0f4c3f6bf8d989.tar.gz |
Fix size of TFLM arena
The TFLM arena size was incorrectly surrounded by sizeof(), which
caused the arena size to be allocated to only 4 bytes.
Change-Id: Iea8c76e0ce434973c9d0a7f696cfb51af49a48fd
Diffstat (limited to 'applications')
-rw-r--r-- | applications/message_handler_openamp/main.cpp | 8 |
1 files changed, 7 insertions, 1 deletions
diff --git a/applications/message_handler_openamp/main.cpp b/applications/message_handler_openamp/main.cpp index 2aad224..9d3c074 100644 --- a/applications/message_handler_openamp/main.cpp +++ b/applications/message_handler_openamp/main.cpp @@ -20,6 +20,7 @@ * Includes *****************************************************************************/ +#include <cinttypes> #include <memory> #include <stdio.h> @@ -61,7 +62,7 @@ constexpr size_t arenaSize = TENSOR_ARENA_SIZE; *****************************************************************************/ extern "C" { -__attribute__((section(".resource_table"))) ResourceTable resourceTable(8, sizeof(arenaSize *NUM_PARALLEL_TASKS)); +__attribute__((section(".resource_table"))) ResourceTable resourceTable(8, arenaSize *NUM_PARALLEL_TASKS); } /***************************************************************************** @@ -98,6 +99,11 @@ int main() { auto rproc = std::make_shared<RProc>(mailbox, resourceTable.table, sizeof(resourceTable), *mem); auto messageHandler = std::make_shared<MessageHandler>(*rproc, "ethos-u-0.0"); + printf("TFLM arena. pa=%" PRIx32 ", da=%" PRIx32 ", len=%" PRIx32 "\n", + resourceTable.carveout.da, + resourceTable.carveout.pa, + resourceTable.carveout.len); + std::array<std::shared_ptr<InferenceRunner>, NUM_PARALLEL_TASKS> inferenceRunner; for (size_t i = 0; i < NUM_PARALLEL_TASKS; i++) { |