本文整理汇总了C++中ndt::type::get_dtype方法的典型用法代码示例。如果您正苦于以下问题：C++ type::get_dtype方法的具体用法？C++ type::get_dtype怎么用？C++ type::get_dtype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ndt::type的用法示例。
在下文中一共展示了type::get_dtype方法的5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: typed_data_assign
void dynd::typed_data_assign(const ndt::type& dst_tp, const char *dst_metadata, char *dst_data,
const ndt::type& src_tp, const char *src_metadata, const char *src_data,
assign_error_mode errmode, const eval::eval_context *ectx)
{
DYND_ASSERT_ALIGNED(dst, 0, dst_tp.get_data_alignment(), "dst type: " << dst_tp << ", src type: " << src_tp);
DYND_ASSERT_ALIGNED(src, 0, src_dt.get_data_alignment(), "src type: " << src_tp << ", dst type: " << dst_tp);
if (errmode == assign_error_default) {
if (ectx != NULL) {
if (dst_tp.get_dtype().get_type_id() == cuda_device_type_id && src_tp.get_dtype().get_type_id() == cuda_device_type_id) {
errmode = ectx->default_cuda_device_errmode;
} else {
errmode = ectx->default_errmode;
}
} else if (dst_tp == src_tp) {
errmode = assign_error_none;
} else {
stringstream ss;
ss << "assignment from " << src_tp << " to " << dst_tp << " with default error mode requires an eval_context";
throw dynd::type_error(ss.str());
}
}
assignment_ckernel_builder k;
make_assignment_kernel(&k, 0, dst_tp, dst_metadata,
src_tp, src_metadata,
kernel_request_single,
errmode, ectx);
k(dst_data, src_data);
}示例2: typed_rand
nd::array nd::typed_rand(intptr_t ndim, const intptr_t *shape, const ndt::type &tp) {
type_id_t dtp_id = tp.get_dtype().get_type_id();
nd::array res = nd::typed_empty(ndim, shape, tp);
try {
array_iter<1, 0> iter(res);
do {
switch (dtp_id) {
case float32_type_id:
*reinterpret_cast<float *>(iter.data())
= rand() / ((float) RAND_MAX);
break;
case float64_type_id:
*reinterpret_cast<double *>(iter.data())
= rand() / ((double) RAND_MAX);
break;
case complex_float32_type_id:
*reinterpret_cast<dynd_complex<float> *>(iter.data())
= dynd_complex<float>(rand() / ((float) RAND_MAX), rand() / ((float) RAND_MAX));
break;
case complex_float64_type_id:
*reinterpret_cast<dynd_complex<double> *>(iter.data())
= dynd_complex<double>(rand() / ((double) RAND_MAX), rand() / ((double) RAND_MAX));
break;
default:
throw std::runtime_error("rand: unsupported dtype");
}
} while (iter.next());
} catch (...) {
ndt::type strided_tp = tp.get_dtype();
for (intptr_t i = 0; i < ndim; ++i) {
strided_tp = ndt::make_strided_dim(strided_tp);
}
res.vals() = nd::typed_rand(ndim, shape, strided_tp);
}
return res.ucast(tp.get_dtype()).eval();
}示例3: type_error
intptr_t kernels::fixed_dim_assign_na_ck::instantiate(
const arrfunc_type_data *DYND_UNUSED(self),
const arrfunc_type *DYND_UNUSED(af_tp), void *ckb,
intptr_t ckb_offset, const ndt::type &dst_tp,
const char *DYND_UNUSED(dst_arrmeta), const ndt::type *DYND_UNUSED(src_tp),
const char *const *DYND_UNUSED(src_arrmeta), kernel_request_t kernreq,
const eval::eval_context *DYND_UNUSED(ectx),
const nd::array &DYND_UNUSED(kwds))
{
ckernel_prefix *ckp = reinterpret_cast<ckernel_builder<kernel_request_host> *>(ckb)->alloc_ck_leaf<ckernel_prefix>(ckb_offset);
switch (dst_tp.get_dtype().get_type_id()) {
case bool_type_id:
ckp->set_expr_function<assign_na<dynd_bool> >(kernreq);
break;
case int8_type_id:
ckp->set_expr_function<assign_na<int8_t> >(kernreq);
break;
case int16_type_id:
ckp->set_expr_function<assign_na<int16_t> >(kernreq);
break;
case int32_type_id:
ckp->set_expr_function<assign_na<int32_t> >(kernreq);
break;
case int64_type_id:
ckp->set_expr_function<assign_na<int64_t> >(kernreq);
break;
case int128_type_id:
ckp->set_expr_function<assign_na<dynd_int128> >(kernreq);
break;
case float32_type_id:
ckp->set_expr_function<assign_na<float> >(kernreq);
break;
case float64_type_id:
ckp->set_expr_function<assign_na<double> >(kernreq);
break;
case complex_float32_type_id:
ckp->set_expr_function<assign_na<dynd_complex<float> > >(kernreq);
break;
case complex_float64_type_id:
ckp->set_expr_function<assign_na<dynd_complex<double> > >(kernreq);
break;
default:
throw type_error("fixed_dim_assign_na: expected built-in type");
break;
}
return ckb_offset;
}示例4: instantiate
static intptr_t instantiate(char *DYND_UNUSED(static_data), char *DYND_UNUSED(data), void *ckb,
intptr_t ckb_offset, const ndt::type &dst_tp, const char *DYND_UNUSED(dst_arrmeta),
intptr_t DYND_UNUSED(nsrc), const ndt::type *DYND_UNUSED(src_tp),
const char *const *DYND_UNUSED(src_arrmeta), kernel_request_t kernreq,
const eval::eval_context *DYND_UNUSED(ectx), intptr_t DYND_UNUSED(nkwd),
const nd::array *DYND_UNUSED(kwds),
const std::map<std::string, ndt::type> &DYND_UNUSED(tp_vars))
{
switch (dst_tp.get_dtype().get_type_id()) {
case bool_type_id:
assign_na_kernel<bool_type_id, bool_kind>::make(ckb, kernreq, ckb_offset);
return ckb_offset;
case int8_type_id:
assign_na_kernel<int8_type_id, sint_kind>::make(ckb, kernreq, ckb_offset);
return ckb_offset;
case int16_type_id:
assign_na_kernel<int16_type_id, sint_kind>::make(ckb, kernreq, ckb_offset);
return ckb_offset;
case int32_type_id:
assign_na_kernel<int32_type_id, sint_kind>::make(ckb, kernreq, ckb_offset);
return ckb_offset;
case int64_type_id:
assign_na_kernel<int64_type_id, sint_kind>::make(ckb, kernreq, ckb_offset);
return ckb_offset;
case int128_type_id:
assign_na_kernel<int128_type_id, sint_kind>::make(ckb, kernreq, ckb_offset);
return ckb_offset;
case float32_type_id:
assign_na_kernel<float32_type_id, real_kind>::make(ckb, kernreq, ckb_offset);
return ckb_offset;
case float64_type_id:
assign_na_kernel<float64_type_id, real_kind>::make(ckb, kernreq, ckb_offset);
return ckb_offset;
case complex_float32_type_id:
assign_na_kernel<complex_float32_type_id, complex_kind>::make(ckb, kernreq, ckb_offset);
return ckb_offset;
case complex_float64_type_id:
assign_na_kernel<complex_float64_type_id, complex_kind>::make(ckb, kernreq, ckb_offset);
return ckb_offset;
default:
throw type_error("fixed_dim_assign_na: expected built-in type");
}
}示例5: instantiate
static void instantiate(char *DYND_UNUSED(static_data), char *DYND_UNUSED(data), kernel_builder *ckb,
const ndt::type &dst_tp, const char *DYND_UNUSED(dst_arrmeta), intptr_t DYND_UNUSED(nsrc),
const ndt::type *DYND_UNUSED(src_tp), const char *const *DYND_UNUSED(src_arrmeta),
kernel_request_t kernreq, intptr_t DYND_UNUSED(nkwd), const nd::array *DYND_UNUSED(kwds),
const std::map<std::string, ndt::type> &DYND_UNUSED(tp_vars))
{
switch (dst_tp.get_dtype().get_id()) {
case bool_id:
ckb->emplace_back<assign_na_kernel<bool_id, bool_kind_id>>(kernreq);
break;
case int8_id:
ckb->emplace_back<assign_na_kernel<int8_id, int_kind_id>>(kernreq);
break;
case int16_id:
ckb->emplace_back<assign_na_kernel<int16_id, int_kind_id>>(kernreq);
break;
case int32_id:
ckb->emplace_back<assign_na_kernel<int32_id, int_kind_id>>(kernreq);
break;
case int64_id:
ckb->emplace_back<assign_na_kernel<int64_id, int_kind_id>>(kernreq);
break;
case int128_id:
ckb->emplace_back<assign_na_kernel<int128_id, int_kind_id>>(kernreq);
break;
case float32_id:
ckb->emplace_back<assign_na_kernel<float32_id, float_kind_id>>(kernreq);
break;
case float64_id:
ckb->emplace_back<assign_na_kernel<float64_id, float_kind_id>>(kernreq);
break;
case complex_float32_id:
ckb->emplace_back<assign_na_kernel<complex_float32_id, complex_kind_id>>(kernreq);
break;
case complex_float64_id:
ckb->emplace_back<assign_na_kernel<complex_float64_id, complex_kind_id>>(kernreq);
break;
default:
throw type_error("fixed_dim_assign_na: expected built-in type");
}
}