Fix typos found using codespell

This commit is contained in:
Gael Guennebaud
2018-06-07 14:43:02 +02:00
parent 405859f18d
commit b3fd93207b
54 changed files with 84 additions and 84 deletions

View File

@@ -286,7 +286,7 @@ m_queue(cl::sycl::queue(s, [&](cl::sycl::exception_list l) {
tileSize =static_cast<Index>(m_queue.get_device(). template get_info<cl::sycl::info::device::max_work_group_size>());
auto s= m_queue.get_device().template get_info<cl::sycl::info::device::vendor>();
std::transform(s.begin(), s.end(), s.begin(), ::tolower);
if(m_queue.get_device().is_cpu()){ // intel doesnot allow to use max workgroup size
if(m_queue.get_device().is_cpu()){ // intel doesn't allow to use max workgroup size
tileSize=std::min(static_cast<Index>(256), static_cast<Index>(tileSize));
}
rng = n;
@@ -303,7 +303,7 @@ m_queue(cl::sycl::queue(s, [&](cl::sycl::exception_list l) {
template<typename Index>
EIGEN_STRONG_INLINE void parallel_for_setup(Index dim0, Index dim1, Index &tileSize0, Index &tileSize1, Index &rng0, Index &rng1, Index &GRange0, Index &GRange1) const {
Index max_workgroup_Size = static_cast<Index>(maxSyclThreadsPerBlock());
if(m_queue.get_device().is_cpu()){ // intel doesnot allow to use max workgroup size
if(m_queue.get_device().is_cpu()){ // intel doesn't allow to use max workgroup size
max_workgroup_Size=std::min(static_cast<Index>(256), static_cast<Index>(max_workgroup_Size));
}
Index pow_of_2 = static_cast<Index>(std::log2(max_workgroup_Size));
@@ -331,7 +331,7 @@ m_queue(cl::sycl::queue(s, [&](cl::sycl::exception_list l) {
template<typename Index>
EIGEN_STRONG_INLINE void parallel_for_setup(Index dim0, Index dim1,Index dim2, Index &tileSize0, Index &tileSize1, Index &tileSize2, Index &rng0, Index &rng1, Index &rng2, Index &GRange0, Index &GRange1, Index &GRange2) const {
Index max_workgroup_Size = static_cast<Index>(maxSyclThreadsPerBlock());
if(m_queue.get_device().is_cpu()){ // intel doesnot allow to use max workgroup size
if(m_queue.get_device().is_cpu()){ // intel doesn't allow to use max workgroup size
max_workgroup_Size=std::min(static_cast<Index>(256), static_cast<Index>(max_workgroup_Size));
}
Index pow_of_2 = static_cast<Index>(std::log2(max_workgroup_Size));
@@ -377,7 +377,7 @@ m_queue(cl::sycl::queue(s, [&](cl::sycl::exception_list l) {
EIGEN_STRONG_INLINE int majorDeviceVersion() const { return 1; }
EIGEN_STRONG_INLINE unsigned long maxSyclThreadsPerMultiProcessor() const {
// OpenCL doesnot have such concept
// OpenCL doesn't have such concept
return 2;
}
@@ -519,7 +519,7 @@ struct SyclDevice {
return m_queue_stream->maxSyclThreadsPerBlock();
}
EIGEN_STRONG_INLINE unsigned long maxSyclThreadsPerMultiProcessor() const {
// OpenCL doesnot have such concept
// OpenCL doesn't have such concept
return m_queue_stream->maxSyclThreadsPerMultiProcessor();
// return stream_->deviceProperties().maxThreadsPerMultiProcessor;
}
@@ -544,7 +544,7 @@ struct SyclDevice {
};
// This is used as a distingushable device inside the kernel as the sycl device class is not Standard layout.
// This is internal and must not be used by user. This dummy device allow us to specialise the tensor evaluator
// inside the kenrel. So we can have two types of eval for host and device. This is required for TensorArgMax operation
// inside the kernel. So we can have two types of eval for host and device. This is required for TensorArgMax operation
struct SyclKernelDevice:DefaultDevice{};
} // end namespace Eigen