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Replace assert with eigen_assert.

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This commit is contained in:
Antonio Sánchez
2022-10-04 17:11:23 +00:00
committed by Rasmus Munk Larsen
parent 7d6a9925cc
commit e5794873cb
14 changed files with 65 additions and 65 deletions
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2
unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h
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@@ -483,7 +483,7 @@ struct TensorEvaluator<TensorChippingOp<DimId, ArgType>, Device>
template <typename TensorBlock>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void writeBlock(
const TensorBlockDesc& desc, const TensorBlock& block) {
assert(this->m_impl.data() != NULL);
eigen_assert(this->m_impl.data() != NULL);
const Index chip_dim = this->m_dim.actualDim();

4
unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h
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@@ -874,7 +874,7 @@ struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgT
lhs_.getSubMapper(m1 * bm_, k * bk_), bk(k), bm(m1));
if (!parallel_pack_ && shard_by_col_) {
assert(!use_thread_local);
eigen_assert(!use_thread_local);
signal_packing(k);
} else {
signal_switch(k + 1);
@@ -927,7 +927,7 @@ struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgT
signal_kernel(m, n, k, sync, use_thread_local);
}
} else {
assert(!use_thread_local);
eigen_assert(!use_thread_local);
signal_packing(k);
}
}

6
unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h
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@@ -159,14 +159,14 @@ struct TensorEvaluator
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorBlock
block(TensorBlockDesc& desc, TensorBlockScratch& scratch,
bool /*root_of_expr_ast*/ = false) const {
assert(m_data != NULL);
eigen_assert(m_data != NULL);
return TensorBlock::materialize(m_data, m_dims, desc, scratch);
}
template<typename TensorBlock>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void writeBlock(
const TensorBlockDesc& desc, const TensorBlock& block) {
assert(m_data != NULL);
eigen_assert(m_data != NULL);
typedef typename TensorBlock::XprType TensorBlockExpr;
typedef internal::TensorBlockAssignment<Scalar, NumCoords, TensorBlockExpr,
@@ -331,7 +331,7 @@ struct TensorEvaluator<const Derived, Device>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorBlock
block(TensorBlockDesc& desc, TensorBlockScratch& scratch,
bool /*root_of_expr_ast*/ = false) const {
assert(m_data != NULL);
eigen_assert(m_data != NULL);
return TensorBlock::materialize(m_data, m_dims, desc, scratch);
}

2
unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
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@@ -208,7 +208,7 @@ struct TensorEvaluator<const TensorForcedEvalOp<ArgType_>, Device>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorBlock
block(TensorBlockDesc& desc, TensorBlockScratch& scratch,
bool /*root_of_expr_ast*/ = false) const {
assert(m_buffer != NULL);
eigen_assert(m_buffer != NULL);
return TensorBlock::materialize(m_buffer, m_impl.dimensions(), desc, scratch);
}

2
unsupported/Eigen/CXX11/src/Tensor/TensorGpuHipCudaDefines.h
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@@ -93,7 +93,7 @@
// HIPCC do not support the use of assert on the GPU side.
#define gpu_assert(COND)
#else
#define gpu_assert(COND) assert(COND)
#define gpu_assert(COND) eigen_assert(COND)
#endif
#endif // gpu_assert

2
unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
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@@ -202,7 +202,7 @@ struct TensorPrinter {
}
}
assert(layout == RowMajor);
eigen_assert(layout == RowMajor);
typedef std::conditional_t<is_same<Scalar, char>::value || is_same<Scalar, unsigned char>::value ||
is_same<Scalar, numext::int8_t>::value || is_same<Scalar, numext::uint8_t>::value,
int,

2
unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h
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@@ -281,7 +281,7 @@ template<typename NewDimensions, typename ArgType, typename Device>
template <typename TensorBlock>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void writeBlock(
const TensorBlockDesc& desc, const TensorBlock& block) {
assert(this->m_impl.data() != NULL);
eigen_assert(this->m_impl.data() != NULL);
typedef typename TensorBlock::XprType TensorBlockExpr;
typedef internal::TensorBlockAssignment<

2
unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h
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@@ -256,7 +256,7 @@ struct TensorEvaluator<const TensorShufflingOp<Shuffle, ArgType>, Device>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorBlock
block(TensorBlockDesc& desc, TensorBlockScratch& scratch,
bool root_of_expr_ast = false) const {
assert(m_impl.data() != NULL);
eigen_assert(m_impl.data() != NULL);
typedef internal::TensorBlockIO<ScalarNoConst, Index, NumDims, Layout>
TensorBlockIO;

2
unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h
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@@ -136,7 +136,7 @@ void matrix_log_compute_pade(MatrixType& result, const MatrixType& T, int degree
typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
const int minPadeDegree = 3;
const int maxPadeDegree = 11;
assert(degree >= minPadeDegree && degree <= maxPadeDegree);
eigen_assert(degree >= minPadeDegree && degree <= maxPadeDegree);
// FIXME this creates float-conversion-warnings if these are enabled.
// Either manually convert each value, or disable the warning locally
const RealScalar nodes[][maxPadeDegree] = {

2
unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h
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@@ -430,7 +430,7 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveNumericalDiffOneStep(FVectorType
using std::sqrt;
using std::abs;
assert(x.size()==n); // check the caller is not cheating us
eigen_assert(x.size()==n); // check the caller is not cheating us
Index j;
std::vector<JacobiRotation<Scalar> > v_givens(n), w_givens(n);

6
unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsImpl.h
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@@ -685,11 +685,11 @@ struct igammac_retval {
template <typename Scalar>
struct cephes_helper {
EIGEN_DEVICE_FUNC
static EIGEN_STRONG_INLINE Scalar machep() { assert(false && "machep not supported for this type"); return 0.0; }
static EIGEN_STRONG_INLINE Scalar machep() { eigen_assert(false && "machep not supported for this type"); return 0.0; }
EIGEN_DEVICE_FUNC
static EIGEN_STRONG_INLINE Scalar big() { assert(false && "big not supported for this type"); return 0.0; }
static EIGEN_STRONG_INLINE Scalar big() { eigen_assert(false && "big not supported for this type"); return 0.0; }
EIGEN_DEVICE_FUNC
static EIGEN_STRONG_INLINE Scalar biginv() { assert(false && "biginv not supported for this type"); return 0.0; }
static EIGEN_STRONG_INLINE Scalar biginv() { eigen_assert(false && "biginv not supported for this type"); return 0.0; }
};
template <>