compute-runtime/shared/source/helpers/local_id_gen.cpp

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/*
* Copyright (C) 2017-2020 Intel Corporation
*
* SPDX-License-Identifier: MIT
*
*/
#include "shared/source/helpers/local_id_gen.h"
#include "shared/source/helpers/aligned_memory.h"
#include "shared/source/utilities/cpu_info.h"
#include <array>
namespace NEO {
struct uint16x8_t;
struct uint16x16_t;
// This is the initial value of SIMD for local ID
// computation. It correlates to the SIMD lane.
// Must be 32byte aligned for AVX2 usage
ALIGNAS(32)
const uint16_t initialLocalID[] = {
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31};
// Lookup table for generating LocalIDs based on the SIMD of the kernel
void (*LocalIDHelper::generateSimd8)(void *buffer, const std::array<uint16_t, 3> &localWorkgroupSize, uint16_t threadsPerWorkGroup, const std::array<uint8_t, 3> &dimensionsOrder, bool chooseMaxRowSize) = generateLocalIDsSimd<uint16x8_t, 8>;
void (*LocalIDHelper::generateSimd16)(void *buffer, const std::array<uint16_t, 3> &localWorkgroupSize, uint16_t threadsPerWorkGroup, const std::array<uint8_t, 3> &dimensionsOrder, bool chooseMaxRowSize) = generateLocalIDsSimd<uint16x8_t, 16>;
void (*LocalIDHelper::generateSimd32)(void *buffer, const std::array<uint16_t, 3> &localWorkgroupSize, uint16_t threadsPerWorkGroup, const std::array<uint8_t, 3> &dimensionsOrder, bool chooseMaxRowSize) = generateLocalIDsSimd<uint16x8_t, 32>;
// Initialize the lookup table based on CPU capabilities
LocalIDHelper::LocalIDHelper() {
bool supportsAVX2 = CpuInfo::getInstance().isFeatureSupported(CpuInfo::featureAvX2);
if (supportsAVX2) {
LocalIDHelper::generateSimd8 = generateLocalIDsSimd<uint16x8_t, 8>;
LocalIDHelper::generateSimd16 = generateLocalIDsSimd<uint16x16_t, 16>;
LocalIDHelper::generateSimd32 = generateLocalIDsSimd<uint16x16_t, 32>;
}
}
LocalIDHelper LocalIDHelper::initializer;
//traditional function to generate local IDs
void generateLocalIDs(void *buffer, uint16_t simd, const std::array<uint16_t, 3> &localWorkgroupSize, const std::array<uint8_t, 3> &dimensionsOrder, bool isImageOnlyKernel, uint32_t grfSize) {
auto threadsPerWorkGroup = static_cast<uint16_t>(getThreadsPerWG(simd, localWorkgroupSize[0] * localWorkgroupSize[1] * localWorkgroupSize[2]));
bool useLayoutForImages = isImageOnlyKernel && isCompatibleWithLayoutForImages(localWorkgroupSize, dimensionsOrder, simd);
if (useLayoutForImages) {
generateLocalIDsWithLayoutForImages(buffer, localWorkgroupSize, simd);
} else if (simd == 32) {
LocalIDHelper::generateSimd32(buffer, localWorkgroupSize, threadsPerWorkGroup, dimensionsOrder, grfSize != 32);
} else if (simd == 16) {
LocalIDHelper::generateSimd16(buffer, localWorkgroupSize, threadsPerWorkGroup, dimensionsOrder, grfSize != 32);
} else if (simd == 8) {
LocalIDHelper::generateSimd8(buffer, localWorkgroupSize, threadsPerWorkGroup, dimensionsOrder, grfSize != 32);
} else {
generateLocalIDsForSimdOne(buffer, localWorkgroupSize, dimensionsOrder, grfSize);
}
}
bool isCompatibleWithLayoutForImages(const std::array<uint16_t, 3> &localWorkgroupSize, const std::array<uint8_t, 3> &dimensionsOrder, uint16_t simd) {
uint8_t xMask = simd == 8u ? 0b1 : 0b11;
uint8_t yMask = 0b11;
return dimensionsOrder.at(0) == 0 &&
dimensionsOrder.at(1) == 1 &&
(localWorkgroupSize.at(0) & xMask) == 0 &&
(localWorkgroupSize.at(1) & yMask) == 0 &&
localWorkgroupSize.at(2) == 1u;
}
inline void generateLocalIDsWithLayoutForImages(void *b, const std::array<uint16_t, 3> &localWorkgroupSize, uint16_t simd) {
uint8_t rowWidth = simd == 32u ? 32u : 16u;
uint8_t xDelta = simd == 8u ? 2u : 4u; // difference between corresponding values in consecutive X rows
uint8_t yDelta = (simd == 8u || localWorkgroupSize.at(1) == 4u) ? 4u : rowWidth / xDelta; // difference between corresponding values in consecutive Y rows
auto buffer = reinterpret_cast<uint16_t *>(b);
uint16_t offset = 0u;
auto numGrfs = (localWorkgroupSize.at(0) * localWorkgroupSize.at(1) * localWorkgroupSize.at(2) + (simd - 1)) / simd;
uint8_t xMask = simd == 8u ? 0b1 : 0b11;
uint16_t x = 0u;
uint16_t y = 0u;
for (auto grfId = 0; grfId < numGrfs; grfId++) {
auto rowX = buffer + offset;
auto rowY = buffer + offset + rowWidth;
auto rowZ = buffer + offset + 2 * rowWidth;
uint16_t extraX = 0u;
uint16_t extraY = 0u;
for (uint8_t i = 0u; i < simd; i++) {
if (i > 0) {
extraX++;
if (extraX == xDelta) {
extraX = 0u;
}
if ((i & xMask) == 0) {
extraY++;
if (y + extraY == localWorkgroupSize.at(1)) {
extraY = 0;
x += xDelta;
}
}
}
if (x == localWorkgroupSize.at(0)) {
x = 0u;
y += yDelta;
if (y >= localWorkgroupSize.at(1)) {
y = 0u;
}
}
rowX[i] = x + extraX;
rowY[i] = y + extraY;
rowZ[i] = 0u;
}
x += xDelta;
offset += 3 * rowWidth;
}
}
void generateLocalIDsForSimdOne(void *b, const std::array<uint16_t, 3> &localWorkgroupSize,
const std::array<uint8_t, 3> &dimensionsOrder, uint32_t grfSize) {
uint32_t xDimNum = dimensionsOrder[0];
uint32_t yDimNum = dimensionsOrder[1];
uint32_t zDimNum = dimensionsOrder[2];
for (int i = 0; i < localWorkgroupSize[zDimNum]; i++) {
for (int j = 0; j < localWorkgroupSize[yDimNum]; j++) {
for (int k = 0; k < localWorkgroupSize[xDimNum]; k++) {
static_cast<uint16_t *>(b)[0] = k;
static_cast<uint16_t *>(b)[1] = j;
static_cast<uint16_t *>(b)[2] = i;
b = ptrOffset(b, grfSize);
}
}
}
}
} // namespace NEO