本文整理汇总了C++中ArrayInfo::isSparse方法的典型用法代码示例。如果您正苦于以下问题：C++ ArrayInfo::isSparse方法的具体用法？C++ ArrayInfo::isSparse怎么用？C++ ArrayInfo::isSparse使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ArrayInfo的用法示例。
在下文中一共展示了ArrayInfo::isSparse方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: retain
af_array retain(const af_array in)
{
ArrayInfo info = getInfo(in, false, false);
af_dtype ty = info.getType();
if(info.isSparse()) {
switch(ty) {
case f32: return retainSparseHandle<float >(in);
case f64: return retainSparseHandle<double >(in);
case c32: return retainSparseHandle<detail::cfloat >(in);
case c64: return retainSparseHandle<detail::cdouble>(in);
default: TYPE_ERROR(1, ty);
}
} else {
switch(ty) {
case f32: return retainHandle<float >(in);
case f64: return retainHandle<double >(in);
case s32: return retainHandle<int >(in);
case u32: return retainHandle<uint >(in);
case u8: return retainHandle<uchar >(in);
case c32: return retainHandle<detail::cfloat >(in);
case c64: return retainHandle<detail::cdouble >(in);
case b8: return retainHandle<char >(in);
case s64: return retainHandle<intl >(in);
case u64: return retainHandle<uintl >(in);
case s16: return retainHandle<short >(in);
case u16: return retainHandle<ushort >(in);
default: TYPE_ERROR(1, ty);
}
}
}示例2: af_matmul
af_err af_matmul(af_array *out,
const af_array lhs, const af_array rhs,
const af_mat_prop optLhs, const af_mat_prop optRhs)
{
using namespace detail;
try {
ArrayInfo lhsInfo = getInfo(lhs, false, true);
ArrayInfo rhsInfo = getInfo(rhs, true, true);
if(lhsInfo.isSparse())
return af_sparse_matmul(out, lhs, rhs, optLhs, optRhs);
af_dtype lhs_type = lhsInfo.getType();
af_dtype rhs_type = rhsInfo.getType();
if (!(optLhs == AF_MAT_NONE ||
optLhs == AF_MAT_TRANS ||
optLhs == AF_MAT_CTRANS)) {
AF_ERROR("Using this property is not yet supported in matmul", AF_ERR_NOT_SUPPORTED);
}
if (!(optRhs == AF_MAT_NONE ||
optRhs == AF_MAT_TRANS ||
optRhs == AF_MAT_CTRANS)) {
AF_ERROR("Using this property is not yet supported in matmul", AF_ERR_NOT_SUPPORTED);
}
if (lhsInfo.ndims() > 2 ||
rhsInfo.ndims() > 2) {
AF_ERROR("matmul can not be used in batch mode", AF_ERR_BATCH);
}
TYPE_ASSERT(lhs_type == rhs_type);
af_array output = 0;
int aColDim = (optLhs == AF_MAT_NONE) ? 1 : 0;
int bRowDim = (optRhs == AF_MAT_NONE) ? 0 : 1;
DIM_ASSERT(1, lhsInfo.dims()[aColDim] == rhsInfo.dims()[bRowDim]);
switch(lhs_type) {
case f32: output = matmul<float >(lhs, rhs, optLhs, optRhs); break;
case c32: output = matmul<cfloat >(lhs, rhs, optLhs, optRhs); break;
case f64: output = matmul<double >(lhs, rhs, optLhs, optRhs); break;
case c64: output = matmul<cdouble>(lhs, rhs, optLhs, optRhs); break;
default: TYPE_ERROR(1, lhs_type);
}
std::swap(*out, output);
}
CATCHALL
return AF_SUCCESS;
}示例3: af_sparse_matmul
af_err af_sparse_matmul(af_array *out,
const af_array lhs, const af_array rhs,
const af_mat_prop optLhs, const af_mat_prop optRhs)
{
using namespace detail;
try {
common::SparseArrayBase lhsBase = getSparseArrayBase(lhs);
ArrayInfo rhsInfo = getInfo(rhs);
ARG_ASSERT(2, lhsBase.isSparse() == true && rhsInfo.isSparse() == false);
af_dtype lhs_type = lhsBase.getType();
af_dtype rhs_type = rhsInfo.getType();
ARG_ASSERT(1, lhsBase.getStorage() == AF_STORAGE_CSR);
if (!(optLhs == AF_MAT_NONE ||
optLhs == AF_MAT_TRANS ||
optLhs == AF_MAT_CTRANS)) { // Note the ! operator.
AF_ERROR("Using this property is not yet supported in sparse matmul", AF_ERR_NOT_SUPPORTED);
}
// No transpose options for RHS
if (optRhs != AF_MAT_NONE) {
AF_ERROR("Using this property is not yet supported in matmul", AF_ERR_NOT_SUPPORTED);
}
if (rhsInfo.ndims() > 2) {
AF_ERROR("Sparse matmul can not be used in batch mode", AF_ERR_BATCH);
}
TYPE_ASSERT(lhs_type == rhs_type);
af::dim4 ldims = lhsBase.dims();
int lColDim = (optLhs == AF_MAT_NONE) ? 1 : 0;
int rRowDim = (optRhs == AF_MAT_NONE) ? 0 : 1;
DIM_ASSERT(1, ldims[lColDim] == rhsInfo.dims()[rRowDim]);
af_array output = 0;
switch(lhs_type) {
case f32: output = sparseMatmul<float >(lhs, rhs, optLhs, optRhs); break;
case c32: output = sparseMatmul<cfloat >(lhs, rhs, optLhs, optRhs); break;
case f64: output = sparseMatmul<double >(lhs, rhs, optLhs, optRhs); break;
case c64: output = sparseMatmul<cdouble>(lhs, rhs, optLhs, optRhs); break;
default: TYPE_ERROR(1, lhs_type);
}
std::swap(*out, output);
} CATCHALL;
return AF_SUCCESS;
}示例4: af_release_array
af_err af_release_array(af_array arr)
{
try {
int dev = getActiveDeviceId();
ArrayInfo info = getInfo(arr, false, false);
af_dtype type = info.getType();
if(info.isSparse()) {
switch(type) {
case f32: releaseSparseHandle<float >(arr); break;
case f64: releaseSparseHandle<double >(arr); break;
case c32: releaseSparseHandle<cfloat >(arr); break;
case c64: releaseSparseHandle<cdouble>(arr); break;
default : TYPE_ERROR(0, type);
}
} else {
setDevice(info.getDevId());
switch(type) {
case f32: releaseHandle<float >(arr); break;
case c32: releaseHandle<cfloat >(arr); break;
case f64: releaseHandle<double >(arr); break;
case c64: releaseHandle<cdouble >(arr); break;
case b8: releaseHandle<char >(arr); break;
case s32: releaseHandle<int >(arr); break;
case u32: releaseHandle<uint >(arr); break;
case u8: releaseHandle<uchar >(arr); break;
case s64: releaseHandle<intl >(arr); break;
case u64: releaseHandle<uintl >(arr); break;
case s16: releaseHandle<short >(arr); break;
case u16: releaseHandle<ushort >(arr); break;
default: TYPE_ERROR(0, type);
}
setDevice(dev);
}
}
CATCHALL
return AF_SUCCESS;
}