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Use signed integers more consistently to encode the number of threads to use to evaluate a tensor expression.

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This commit is contained in:
Benoit Steiner
2016-06-09 08:25:22 -07:00
parent 8f92c26319
commit 14a112ee15
2 changed files with 11 additions and 11 deletions
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12
unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h
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@@ -202,7 +202,7 @@ struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgT
// across k dimension.
const TensorOpCost cost =
contractionCost(m, n, bm, bn, bk, shard_by_col, false);
Index num_threads = TensorCostModel<ThreadPoolDevice>::numThreads(
int num_threads = TensorCostModel<ThreadPoolDevice>::numThreads(
static_cast<double>(n) * m, cost, this->m_device.numThreads());
// TODO(dvyukov): this is a stop-gap to prevent regressions while the cost
@@ -301,7 +301,7 @@ struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgT
class Context {
public:
Context(const Device& device, int num_threads, LhsMapper& lhs,
RhsMapper& rhs, Scalar* buffer, Index m, Index n, Index k, Index bm,
RhsMapper& rhs, Scalar* buffer, Index tm, Index tn, Index tk, Index bm,
Index bn, Index bk, Index nm, Index nn, Index nk, Index gm,
Index gn, Index nm0, Index nn0, bool shard_by_col,
bool parallel_pack)
@@ -309,13 +309,13 @@ struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgT
lhs_(lhs),
rhs_(rhs),
buffer_(buffer),
output_(buffer, m),
output_(buffer, tm),
num_threads_(num_threads),
shard_by_col_(shard_by_col),
parallel_pack_(parallel_pack),
m_(m),
n_(n),
k_(k),
m_(tm),
n_(tn),
k_(tk),
bm_(bm),
bn_(bn),
bk_(bk),