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Fix warnings

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This commit is contained in:
Eugene Zhulenev 2018-09-13 15:03:36 -07:00
parent d138fe341d
commit 01197e4452
2 changed files with 4 additions and 6 deletions
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2
unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
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@ -1140,7 +1140,6 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType, MakePointer_>,
const Index max_coeff_count, const Index max_coeff_count,
const DSizes<Index, NumInputDims>& input_slice_sizes, const DSizes<Index, NumInputDims>& input_slice_sizes,
DSizes<Index, NumInputDims>* target_input_block_sizes) const { DSizes<Index, NumInputDims>* target_input_block_sizes) const {
typedef typename internal::packet_traits<Scalar>::type Packet;
typedef internal::BlockReducer<Self, Op> BlockReducer; typedef internal::BlockReducer<Self, Op> BlockReducer;
// TODO(andydavis) Compute reducer overhead correctly for the case where // TODO(andydavis) Compute reducer overhead correctly for the case where
// we are preserving the inner most dimension, and a single reducer // we are preserving the inner most dimension, and a single reducer
@ -1168,7 +1167,6 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType, MakePointer_>,
} else if (!first_preserved_dim_allocated) { } else if (!first_preserved_dim_allocated) {
// TODO(andydavis) Include output block size in this L1 working set // TODO(andydavis) Include output block size in this L1 working set
// calculation. // calculation.
const Index allocated = max_coeff_count - coeff_to_allocate;
const Index alloc_size = numext::maxi( const Index alloc_size = numext::maxi(
static_cast<Index>(1), coeff_to_allocate / reducer_overhead); static_cast<Index>(1), coeff_to_allocate / reducer_overhead);
(*target_input_block_sizes)[dim] = (*target_input_block_sizes)[dim] =

8
unsupported/test/cxx11_tensor_executor.cpp
View File

@ -27,7 +27,7 @@ static array<Index, NumDims> RandomDims(int min_dim = 1, int max_dim = 20) {
dims[i] = internal::random<int>(min_dim, max_dim); dims[i] = internal::random<int>(min_dim, max_dim);
} }
return dims; return dims;
}; }
template <typename T, int NumDims, typename Device, bool Vectorizable, template <typename T, int NumDims, typename Device, bool Vectorizable,
bool Tileable, int Layout> bool Tileable, int Layout>
@ -117,7 +117,7 @@ static void test_execute_broadcasting(Device d)
for (Index i = 0; i < dst.dimensions().TotalSize(); ++i) { for (Index i = 0; i < dst.dimensions().TotalSize(); ++i) {
VERIFY_IS_EQUAL(dst.coeff(i), golden.coeff(i)); VERIFY_IS_EQUAL(dst.coeff(i), golden.coeff(i));
} }
}; }
template <typename T, int NumDims, typename Device, bool Vectorizable, template <typename T, int NumDims, typename Device, bool Vectorizable,
bool Tileable, int Layout> bool Tileable, int Layout>
@ -155,7 +155,7 @@ static void test_execute_chipping_rvalue(Device d) {
TEST_CHIPPING(5) TEST_CHIPPING(5)
#undef TEST_CHIPPING #undef TEST_CHIPPING
}; }
template <typename T, int NumDims, typename Device, bool Vectorizable, template <typename T, int NumDims, typename Device, bool Vectorizable,
bool Tileable, int Layout> bool Tileable, int Layout>
@ -207,7 +207,7 @@ static void test_execute_chipping_lvalue(Device d) {
TEST_CHIPPING(5) TEST_CHIPPING(5)
#undef TEST_CHIPPING #undef TEST_CHIPPING
}; }
template <typename T, int NumDims, typename Device, bool Vectorizable, template <typename T, int NumDims, typename Device, bool Vectorizable,
bool Tileable, int Layout> bool Tileable, int Layout>