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| author | Anton Moberg <anton.moberg@arm.com> | 2021-02-10 08:49:28 +0100 |
|---|---|---|
| committer | Anton Moberg <anton.moberg@arm.com> | 2021-02-12 14:37:30 +0100 |
| commit | 66ed182cd7520537e73ec37f17f8bf549d8297a2 (patch) | |
| tree | 7ce2ce2f2c10f24d3b6fd5b4cb3e3bd9024ad2a3 /applications/inference_process/src/inference_process.cpp | |
| parent | 83e49967d1c4eeff21025ea0bd449c938c91c5f8 (diff) | |
| download | ethos-u-core-software-66ed182cd7520537e73ec37f17f8bf549d8297a2.tar.gz | |
core_software - Move TensorArena21.02-rc2
Moved TensorArena in inference_process.ccp to application level.
InferenceProcess class now takes TensorArena pointer and TensorArenaSize as parameters. Needs to be set by application before runJob() is called.
Change-Id: I530b96039868305fa903ae7f93419d9d00f9c16f
Diffstat (limited to 'applications/inference_process/src/inference_process.cpp')
| -rw-r--r-- | applications/inference_process/src/inference_process.cpp | 13 |
1 files changed, 1 insertions, 12 deletions
diff --git a/applications/inference_process/src/inference_process.cpp b/applications/inference_process/src/inference_process.cpp index b5ed5c4..cc2b378 100644 --- a/applications/inference_process/src/inference_process.cpp +++ b/applications/inference_process/src/inference_process.cpp @@ -30,14 +30,8 @@ #include <inttypes.h> -#ifndef TENSOR_ARENA_SIZE -#define TENSOR_ARENA_SIZE (1024) -#endif - using namespace std; -__attribute__((section(".bss.NoInit"), aligned(16))) uint8_t inferenceProcessTensorArena[TENSOR_ARENA_SIZE]; - namespace { void tflu_debug_log(const char *s) { @@ -151,8 +145,6 @@ void InferenceJob::clean() { } } -InferenceProcess::InferenceProcess() : lock(0) {} - // NOTE: Adding code for get_lock & free_lock with some corrections from // http://infocenter.arm.com/help/index.jsp?topic=/com.arm.doc.dai0321a/BIHEJCHB.html // TODO: check correctness? @@ -216,9 +208,7 @@ bool InferenceProcess::runJob(InferenceJob &job) { ethosu_pmu_event_type(job.pmuEventConfig[2]), ethosu_pmu_event_type(job.pmuEventConfig[3])); #endif - - tflite::MicroInterpreter interpreter( - model, resolver, inferenceProcessTensorArena, TENSOR_ARENA_SIZE, reporter, &profiler); + tflite::MicroInterpreter interpreter(model, resolver, tensorArena, tensorArenaSize, reporter, &profiler); // Allocate tensors TfLiteStatus allocate_status = interpreter.AllocateTensors(); @@ -236,7 +226,6 @@ bool InferenceProcess::runJob(InferenceJob &job) { inputTensors.push_back(tensor); } } - if (job.input.size() != inputTensors.size()) { printf("Number of input buffers does not match number of non empty network tensors. input=%zu, network=%zu\n", job.input.size(), |