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rocm-systems/rocclr/runtime/platform/ndrange.hpp
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2014-07-04 16:17:05 -04:00

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//
// Copyright (c) 2008 Advanced Micro Devices, Inc. All rights reserved.
//
#ifndef NDRANGE_HPP_
#define NDRANGE_HPP_
#include "top.hpp"
#include <valarray>
#ifdef DEBUG
# include <cstdio>
#endif // DEBUG
namespace amd {
/*! \addtogroup Runtime
* @{
*
* \addtogroup Program Programs and Kernel functions
* @{
*/
//! An N-dimensions index space.
class NDRange : public EmbeddedObject
{
private:
const size_t dimensions_ : 2; //!< Number of dimensions [0-3]
size_t data_[3]; //!< indexes array
private:
//! Construct a new index space for an array of elements (no-copy)
NDRange(size_t dimensions, size_t* elements)
: dimensions_(dimensions)
{
for (uint i = 0; i < dimensions_; ++i) {
data_[i] = elements[i];
}
}
public:
//! Construct a new index space of the given dimensions.
explicit NDRange(size_t dimensions);
//! Copy constructor.
NDRange(const NDRange& space);
//! Destroy the index space.
~NDRange();
//! Copy operator
inline NDRange& operator = (const NDRange& space);
//! Make all elements of this space equal to x.
NDRange& operator = (size_t x);
//! Return the number of dimensions.
size_t dimensions() const { return dimensions_; }
//! Return the element at the given \a index.
size_t& operator [] (size_t index)
{
assert(index < dimensions_ && "index is out of bounds");
return data_[index];
}
//! Return the element at the given \a index.
size_t operator [] (size_t index) const
{
assert(index < dimensions_ && "index is out of bounds");
return data_[index];
}
//! Return the sum of this index space elements.
inline size_t sum() const;
//! Return the product of this index space elements (size)
inline size_t product() const;
// Binary operators:
inline friend NDRange operator + (const NDRange& x, const NDRange& y);
inline friend NDRange operator - (const NDRange& x, const NDRange& y);
inline friend NDRange operator * (const NDRange& x, const NDRange& y);
inline friend NDRange operator / (const NDRange& x, const NDRange& y);
inline friend NDRange operator % (const NDRange& x, const NDRange& y);
//! Return true if this index space is identical to \a x.
bool operator == (const NDRange& x) const;
//! Return true if this index space and \a x are different.
bool operator != (const NDRange& x) const { return !(*this == x); }
//! Return true if all elements are equal to \a x.
bool operator == (size_t x) const;
//! Return true if one element of this space is not equal to \a x.
bool operator != (size_t x) const { return !(*this == x); }
#ifdef DEBUG
//! Print this index space on the given stream.
void printOn(FILE* file) const;
#endif // DEBUG
};
//! A container for the local and global worksizes.
class NDRangeContainer : public HeapObject
{
private:
const size_t dimensions_; //!< Number of dimensions.
NDRange offset_; //!< Global work-item offset.
NDRange global_; //!< Total number of work-items in N-dims
NDRange local_; //!< Number of work-items in N-dims in a workgroup.
public:
/*! \brief Construct a new nd-range container with the given local
* and global worksizes in \a nDimensions dimensions.
*/
NDRangeContainer(
size_t dimensions,
const size_t* globalWorkOffset,
const size_t* globalWorkSize,
const size_t* localWorkSize
) : dimensions_(dimensions),
offset_(dimensions), global_(dimensions), local_(dimensions)
{
for (size_t i = 0; i < dimensions; ++i) {
offset_[i] = globalWorkOffset != NULL ? globalWorkOffset[i] : 0;
global_[i] = globalWorkSize[i];
local_[i] = localWorkSize[i];
}
}
//! Return the number of dimensions.
size_t dimensions() const { return dimensions_; }
//! Return the global workoffset.
const NDRange& offset() const { return offset_; }
NDRange& offset() { return offset_; }
//! Return the global worksize.
const NDRange& global() const { return global_; }
NDRange& global() { return global_; }
//! Return the local worksize.
const NDRange& local() const { return local_; }
NDRange& local() { return local_; }
};
/*! @}\
* @}
*/
inline size_t
NDRange::sum() const
{
size_t result = data_[0];
for (size_t i = 1; i < dimensions_; ++i) {
result += data_[i];
}
return result;
}
inline size_t
NDRange::product() const
{
size_t result = data_[0];
for (size_t i = 1; i < dimensions_; ++i) {
result *= data_[i];
}
return result;
}
// This function is in this header file for performance improvements:
inline NDRange&
NDRange::operator = (const NDRange& space)
{
assert(dimensions_ == space.dimensions_ && "dimensions mismatch");
for (size_t i = 0; i < sizeof(data_)/sizeof(*data_); ++i) {
data_[i] = space.data_[i];
}
return *this;
}
#define DEFINE_NDRANGE_BINARY_OP(op) \
inline NDRange \
operator op (const NDRange& x, const NDRange& y) \
{ \
assert(x.dimensions_ == y.dimensions_ && "dimensions mismatch"); \
\
size_t dimensions = x.dimensions_; \
size_t result[3] = {0}; \
for (size_t i = 0; i < dimensions; ++i) { \
result[i] = x.data_[i] op y.data_[i]; \
} \
\
return NDRange(dimensions, &result[0]); \
}
DEFINE_NDRANGE_BINARY_OP(+);
DEFINE_NDRANGE_BINARY_OP(-);
DEFINE_NDRANGE_BINARY_OP(*);
DEFINE_NDRANGE_BINARY_OP(/);
DEFINE_NDRANGE_BINARY_OP(%);
#undef DEFINE_NDRANGE_BINARY_OP
} // namespace amd
#endif /*NDRANGE_HPP_*/