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[SYCL][NFC] Fix typos in the queue header comments #1095

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Merged
merged 2 commits into from
Feb 5, 2020
Merged

[SYCL][NFC] Fix typos in the queue header comments #1095

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[SYCL][NFC] Fix typos in the queue header comments
bader Feb 4, 2020
ebe2015
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bader Feb 4, 2020
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19 changes: 10 additions & 9 deletions sycl/include/CL/sycl/queue.hpp
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Original file line number Diff line number Diff line change
Expand Up @@ -89,7 +89,7 @@ class queue {
queue(const context &SyclContext, const device_selector &DeviceSelector,
const property_list &PropList = {});

/// Constructs a SYCL queue instance with an asunc_handler that is associated
/// Constructs a SYCL queue instance with an async_handler that is associated
/// with the context provided, using the device returned by the device
/// selector.
///
Expand Down Expand Up @@ -242,7 +242,7 @@ class queue {

/// single_task version with a kernel represented as a lambda.
///
/// @param DepEvent is an event that specifies the kernel dependences
/// @param DepEvent is an event that specifies the kernel dependencies
/// @param KernelFunc is the Kernel functor or lambda
template <typename KernelName = detail::auto_name, typename KernelType>
event single_task(event DepEvent, KernelType KernelFunc) {
Expand All @@ -254,7 +254,8 @@ class queue {

/// single_task version with a kernel represented as a lambda.
///
/// @param DepEvents is a vector of events that specify the kernel dependences
/// @param DepEvents is a vector of events that specifies the kernel
/// dependencies
/// @param KernelFunc is the Kernel functor or lambda
template <typename KernelName = detail::auto_name, typename KernelType>
event single_task(const vector_class<event> &DepEvents,
Expand Down Expand Up @@ -283,7 +284,7 @@ class queue {
/// specifies global size only.
///
/// @param NumWorkItems is a range that specifies the work space of the kernel
/// @param DepEvent is an event that specifies the kernel dependences
/// @param DepEvent is an event that specifies the kernel dependencies
/// @param KernelFunc is the Kernel functor or lambda
template <typename KernelName = detail::auto_name, typename KernelType,
int Dims>
Expand All @@ -301,7 +302,7 @@ class queue {
///
/// @param NumWorkItems is a range that specifies the work space of the kernel
/// @param DepEvents is a vector of events that specifies the kernel
/// dependences
/// dependencies
/// @param KernelFunc is the Kernel functor or lambda
template <typename KernelName = detail::auto_name, typename KernelType,
int Dims>
Expand Down Expand Up @@ -336,7 +337,7 @@ class queue {
///
/// @param NumWorkItems is a range that specifies the work space of the kernel
/// @param WorkItemOffset specifies the offset for each work item id
/// @param DepEvent is an event that specifies the kernel dependences
/// @param DepEvent is an event that specifies the kernel dependencies
/// @param KernelFunc is the Kernel functor or lambda
template <typename KernelName = detail::auto_name, typename KernelType,
int Dims>
Expand All @@ -355,7 +356,7 @@ class queue {
/// @param NumWorkItems is a range that specifies the work space of the kernel
/// @param WorkItemOffset specifies the offset for each work item id
/// @param DepEvents is a vector of events that specifies the kernel
/// dependences
/// dependencies
/// @param KernelFunc is the Kernel functor or lambda
template <typename KernelName = detail::auto_name, typename KernelType,
int Dims>
Expand Down Expand Up @@ -388,7 +389,7 @@ class queue {
///
/// @param ExecutionRange is a range that specifies the work space of the
/// kernel
/// @param DepEvent is an event that specifies the kernel dependences
/// @param DepEvent is an event that specifies the kernel dependencies
/// @param KernelFunc is the Kernel functor or lambda
template <typename KernelName = detail::auto_name, typename KernelType,
int Dims>
Expand All @@ -407,7 +408,7 @@ class queue {
/// @param ExecutionRange is a range that specifies the work space of the
/// kernel
/// @param DepEvents is a vector of events that specifies the kernel
/// dependences
/// dependencies
/// @param KernelFunc is the Kernel functor or lambda
template <typename KernelName = detail::auto_name, typename KernelType,
int Dims>
Expand Down