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Remove implicit this capture in lambdas

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Devon Loehr 2024-08-02 20:06:35 +00:00 committed by Rasmus Munk Larsen
parent e44db21092
commit b3e3b7b0ec
2 changed files with 13 additions and 5 deletions
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16
unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h
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@ -932,7 +932,9 @@ struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgT
kernel(m, n, k, use_thread_local);
} else {
eigen_assert(!use_thread_local);
device_.enqueueNoNotification([=]() { kernel(m, n, k, use_thread_local); });
device_.enqueueNoNotification([this, m, n, k, use_thread_local]() {
kernel(m, n, k, use_thread_local);
});
}
}
@ -980,7 +982,9 @@ struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgT
} else {
while (end - start > 1) {
Index mid = (start + end) / 2;
device_.enqueueNoNotification([=]() { enqueue_packing_helper(mid, end, k, rhs); });
device_.enqueueNoNotification([this, mid, end, k, rhs]() {
enqueue_packing_helper(mid, end, k, rhs);
});
end = mid;
}
@ -996,7 +1000,9 @@ struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgT
(k > 0 || std::this_thread::get_id() == created_by_thread_id_);
if (pack_async) {
device_.enqueueNoNotification([=]() { enqueue_packing_helper(start, end, k, rhs); });
device_.enqueueNoNotification([this, start, end, k, rhs]() {
enqueue_packing_helper(start, end, k, rhs);
});
} else {
enqueue_packing_helper(start, end, k, rhs);
}
@ -1277,7 +1283,9 @@ struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgT
while (end_block_idx - start_block_idx > 1) {
Index mid_block_idx = (start_block_idx + end_block_idx) / 2;
evaluator->m_device.enqueueNoNotification(
[this, mid_block_idx, end_block_idx]() { evalAsync<Alignment>(mid_block_idx, end_block_idx); });
[this, mid_block_idx, end_block_idx]() {
evalAsync<Alignment>(mid_block_idx, end_block_idx);
});
end_block_idx = mid_block_idx;
}

2
unsupported/Eigen/CXX11/src/Tensor/TensorDeviceThreadPool.h
View File

@ -192,7 +192,7 @@ struct ThreadPoolDevice {
// block_count leaves that do actual computations.
Barrier barrier(static_cast<unsigned int>(block.count));
std::function<void(Index, Index)> handleRange;
handleRange = [=, &handleRange, &barrier, &f](Index firstIdx, Index lastIdx) {
handleRange = [this, block, &handleRange, &barrier, &f](Index firstIdx, Index lastIdx) {
while (lastIdx - firstIdx > block.size) {
// Split into halves and schedule the second half on a different thread.
const Index midIdx = firstIdx + numext::div_ceil((lastIdx - firstIdx) / 2, block.size) * block.size;