I got error when I use benchmark
ERROR: tensorflow/lite/kernels/gather.cc:182 indices_has_only_positive_elements was not true.
ERROR: gather index out of bounds
ERROR: Node number 6 (GATHER) failed to invoke.
but I don’t get it…
why does this error occurs?
TfLiteStatus SimpleMemoryArena::Allocate(
TfLiteContext* context, size_t alignment, size_t size, int32_t tensor,
int32_t first_node, int32_t last_node,
ArenaAllocWithUsageInterval* new_alloc) {
TF_LITE_ENSURE(context, alignment <= arena_alignment_);
new_alloc->tensor = tensor;
new_alloc->first_node = first_node;
new_alloc->last_node = last_node;
new_alloc->size = size;
if (size == 0) {
new_alloc->offset = 0;
return kTfLiteOk;
}
// If we don’t find a better gap just allocate at the end of the buffer.
const size_t kOffsetNotAssigned = std::numeric_limits<size_t>::max();
size_t best_offset = kOffsetNotAssigned;
size_t best_offset_fit = kOffsetNotAssigned;
// Go through the sorted allocs and look at the gaps between them.
size_t current_offset = 0;
for (const auto& alloc : active_allocs_) {
if (alloc.last_node < first_node || alloc.first_node > last_node) {
// Usage interval of alloc doesn’t intersect with current tensor’s usage
// interval, so we skip it.
continue;
}
size_t aligned_current_offset = AlignTo(alignment, current_offset);
// If we found a gap larger than required size, and smaller than previous
// best fit, take it.
if (aligned_current_offset + size <= alloc.offset &&
alloc.offset - aligned_current_offset < best_offset_fit) {
best_offset = aligned_current_offset;
best_offset_fit = alloc.offset - current_offset;
}
current_offset = std::max(current_offset, alloc.offset + alloc.size);
// A gap of zero is as good as it gets, no point continuing.
if (best_offset_fit == 0) {
break;
}
}
if (best_offset == kOffsetNotAssigned) {
best_offset = AlignTo(alignment, current_offset);
}
// Update the required buffer size.
high_water_mark_ = std::max(high_water_mark_, best_offset + size);
new_alloc->offset = best_offset;
auto insertion_it = std::upper_bound(active_allocs_.begin(),
active_allocs_.end(), *new_alloc);
active_allocs_.insert(insertion_it, *new_alloc);
return kTfLiteOk;
}
actually, I changed this code to make every tensors to get offset=0
Then the error occurs…