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Merge branch 'kernels' into tensor_core

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This commit is contained in:
Hansung Kim
2024-05-08 13:25:31 -07:00
parent 5821bfd10d a606a9ef42
commit 6ba6a1e2e5
55 changed files with 3384 additions and 31 deletions
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34
tests/regression/common.mk
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@@ -22,6 +22,7 @@ RISCV_SYSROOT ?= $(RISCV_TOOLCHAIN_PATH)/$(RISCV_PREFIX)
VORTEX_RT_PATH ?= $(realpath ../../../runtime)
VORTEX_KN_PATH ?= $(realpath ../../../kernel)
GEMMINI_SW_PATH ?= $(realpath ../../../third_party/gemmini-rocc-tests)
FPGA_BIN_DIR ?= $(VORTEX_RT_PATH)/opae
@@ -49,7 +50,7 @@ VX_CP = $(LLVM_VORTEX)/bin/llvm-objcopy
VX_CFLAGS += -v -O3 -std=c++17
VX_CFLAGS += -mcmodel=medany -fno-rtti -fno-exceptions -nostartfiles -fdata-sections -ffunction-sections
VX_CFLAGS += -I$(VORTEX_KN_PATH)/include -I$(VORTEX_KN_PATH)/../hw
VX_CFLAGS += -I$(VORTEX_KN_PATH)/include -I$(VORTEX_KN_PATH)/../hw -I$(GEMMINI_SW_PATH)
VX_CFLAGS += -DNDEBUG -DLLVM_VORTEX
VX_LDFLAGS += -Wl,-Bstatic,--gc-sections,-T,$(VORTEX_KN_PATH)/linker/vx_link$(XLEN).ld,--defsym=STARTUP_ADDR=$(STARTUP_ADDR) $(VORTEX_KN_PATH)/libvortexrt.a
@@ -78,17 +79,42 @@ endif
endif
endif
all: $(PROJECT) kernel.bin kernel.dump
# CONFIG is supplied from the command line to differentiate ELF files with custom suffixes
CONFIGEXT = $(if $(CONFIG),.$(CONFIG),)
all: $(PROJECT) kernel.bin kernel.dump kernel.radiance.dump kernel.radiance$(CONFIGEXT).dump
kernel.dump: kernel.elf
$(VX_DP) -D kernel.elf > kernel.dump
kernel.bin: kernel.elf
kernel.radiance.dump: kernel.radiance.elf
$(VX_DP) -D kernel.radiance.elf > kernel.radiance.dump
ifneq ($(CONFIG),)
kernel.radiance$(CONFIGEXT).dump: kernel.radiance$(CONFIGEXT).elf
$(VX_DP) -D kernel.radiance$(CONFIGEXT).elf > kernel.radiance$(CONFIGEXT).dump
endif
kernel.bin: kernel.elf kernel.radiance.elf
$(VX_CP) -O binary kernel.elf kernel.bin
kernel.elf: $(VX_SRCS)
$(VX_CXX) $(VX_CFLAGS) $(VX_SRCS) $(VX_LDFLAGS) -o kernel.elf
OBJCOPY ?= "riscv32-unknown-elf-objcopy"
OBJCOPY_FLAGS ?= "LOAD,ALLOC,DATA,CONTENTS"
kernel.radiance.elf: kernel.elf
$(VX_CXX) $(VX_CFLAGS) $(VX_SRCS) $(VX_LDFLAGS) -DRADIANCE -o kernel.radiance.elf
$(OBJCOPY) --set-section-flags .operand.a=$(OBJCOPY_FLAGS) kernel.radiance.elf
$(OBJCOPY) --set-section-flags .operand.b=$(OBJCOPY_FLAGS) kernel.radiance.elf
$(OBJCOPY) --update-section .operand.a=input.a.bin kernel.radiance.elf
$(OBJCOPY) --update-section .operand.b=input.b.bin kernel.radiance.elf
ifneq ($(CONFIG),)
kernel.radiance$(CONFIGEXT).elf: kernel.radiance.elf
cp $< $@
endif
$(PROJECT): $(SRCS)
$(CXX) $(CXXFLAGS) $^ $(LDFLAGS) -o $@
@@ -115,7 +141,7 @@ clean:
rm -rf $(PROJECT) *.o .depend
clean-all: clean
rm -rf *.elf *.bin *.dump
rm -rf kernel.elf kernel.dump
ifneq ($(MAKECMDGOALS),clean)
-include .depend

5
tests/regression/flops/.gitignore vendored Normal file
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@@ -0,0 +1,5 @@
*.bin
*.dump
*.elf
flops
.depend

9
tests/regression/flops/Makefile Normal file
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@@ -0,0 +1,9 @@
PROJECT = flops
SRCS = main.cpp common.h
VX_SRCS = kernel.cpp
OPTS ?= -n16
include ../common.mk

15
tests/regression/flops/common.h Normal file
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@@ -0,0 +1,15 @@
#ifndef _COMMON_H_
#define _COMMON_H_
#include <cstdint>
#define KERNEL_ARG_DEV_MEM_ADDR 0x7fff0000
#define DEV_SMEM_START_ADDR 0xff000000
typedef struct {
uint32_t size;
uint32_t addr_src;
uint32_t addr_dst;
} kernel_arg_t;
#endif

BIN
tests/regression/flops/flops Executable file
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41
tests/regression/flops/kernel.cpp Normal file
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@@ -0,0 +1,41 @@
#include <stdint.h>
#include <vx_intrinsics.h>
#include <vx_spawn.h>
#include "common.h"
void kernel_body(int task_id, kernel_arg_t *__UNIFORM__ arg) {
const float *A = (const float *)arg->addr_src;
float *C = (float *)arg->addr_dst;
int incr = A[task_id];
float sum = 0.0f;
float sum1 = 0.0f;
float sum2 = 0.0f;
float sum3 = 0.0f;
float sum4 = 0.0f;
float sum5 = 0.0f;
#pragma unroll 8
for (int i = 0; i < 5000; i++) {
sum1 = sum2 + 5.0f;
sum2 = sum3 + 5.0f;
sum3 = sum4 + 5.0f;
sum4 = sum5 + 5.0f;
sum5 = sum1 + 5.0f;
}
sum = sum1 + sum2 + sum3 + sum4 + sum5;
C[task_id] = static_cast<float>(sum);
}
int main() {
kernel_arg_t *arg = (kernel_arg_t *)KERNEL_ARG_DEV_MEM_ADDR;
const uint32_t grid_size = arg->size;
#ifdef RADIANCE
vx_spawn_tasks_cluster(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
#else
// NOTE: This kernel assumes contiguous thread scheduling for efficient shared
// memory allocation, and therefore does not work with original vx_spawn_tasks
vx_spawn_tasks_contiguous(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
#endif
return 0;
}

252
tests/regression/flops/main.cpp Normal file
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@@ -0,0 +1,252 @@
#include <iostream>
#include <fstream>
#include <unistd.h>
#include <string.h>
#include <vortex.h>
#include <vector>
#include "common.h"
#define RT_CHECK(_expr) \
do { \
int _ret = _expr; \
if (0 == _ret) \
break; \
printf("Error: '%s' returned %d!\n", #_expr, (int)_ret); \
cleanup(); \
exit(-1); \
} while (false)
///////////////////////////////////////////////////////////////////////////////
const char* kernel_file = "kernel.bin";
uint32_t count = 0;
std::vector<float> src_data;
std::vector<float> ref_data;
vx_device_h device = nullptr;
std::vector<uint8_t> staging_buf;
kernel_arg_t kernel_arg = {};
static void show_usage() {
std::cout << "Vortex Test." << std::endl;
std::cout << "Usage: [-k: kernel] [-n words] [-h: help]" << std::endl;
}
static void parse_args(int argc, char **argv) {
int c;
while ((c = getopt(argc, argv, "n:k:h?")) != -1) {
switch (c) {
case 'n':
count = atoi(optarg);
break;
case 'k':
kernel_file = optarg;
break;
case 'h':
case '?': {
show_usage();
exit(0);
} break;
default:
show_usage();
exit(-1);
}
}
}
void cleanup() {
if (device) {
// vx_mem_free(device, kernel_arg.addr_a);
// vx_mem_free(device, kernel_arg.addr_b);
// vx_mem_free(device, kernel_arg.addr_c);
vx_dev_close(device);
}
}
void generate_source_data(size_t size) {
src_data.resize(size);
for (uint32_t i = 0; i < src_data.size(); ++i) {
src_data[i] = static_cast<float>(i);
}
}
void generate_reference_data(size_t size) {
ref_data.resize(size);
for (uint32_t i = 0; i < ref_data.size(); ++i) {
ref_data[i] = static_cast<float>(i) * 1000.0f;
}
}
int run_test(const kernel_arg_t& kernel_arg,
uint32_t buf_size,
uint32_t size) {
// start device
std::cout << "start device" << std::endl;
RT_CHECK(vx_start(device));
// wait for completion
std::cout << "wait for completion" << std::endl;
RT_CHECK(vx_ready_wait(device, VX_MAX_TIMEOUT));
// download destination buffer
std::cout << "download destination buffer" << std::endl;
RT_CHECK(vx_copy_from_dev(device, staging_buf.data(), kernel_arg.addr_dst, buf_size));
std::cout << "downloading result C matrix from device, device mem address="
<< std::hex << kernel_arg.addr_dst << ", size=" << std::dec
<< buf_size << " bytes\n";
std::ofstream file("output.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open output.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(staging_buf.data()), buf_size);
file.close();
std::ofstream ref_file("reference.bin", std::ios::binary | std::ios::out);
if (!ref_file) {
std::cerr << "error: failed to open reference.bin for writing\n";
exit(EXIT_FAILURE);
}
ref_file.write(reinterpret_cast<char *>(ref_data.data()), buf_size);
ref_file.close();
// verify result
std::cout << "verify result" << std::endl;
{
int errors = 0;
auto buf_ptr = (float*)staging_buf.data();
for (uint32_t i = 0; i < size; ++i) {
float ref = ref_data.at(i);
float cur = buf_ptr[i];
if (std::abs((cur - ref) / ref) > 1e-6) {
std::cout << "error at result #" << std::dec << i
<< std::hex << ": actual=" << cur << ", expected=" << ref << std::endl;
++errors;
}
}
if (errors != 0) {
std::cout << "Found " << std::dec << errors << " errors!" << std::endl;
std::cout << "FAILED!" << std::endl;
return 1;
}
}
return 0;
}
int main(int argc, char *argv[]) {
// parse command arguments
parse_args(argc, argv);
if (count == 0) {
count = 1;
}
std::srand(50);
// open device connection
std::cout << "open device connection" << std::endl;
RT_CHECK(vx_dev_open(&device));
size_t size = 64;
generate_source_data(size);
generate_reference_data(size);
uint32_t src_buf_size = src_data.size() * sizeof(src_data[0]);
uint32_t dst_buf_size = ref_data.size() * sizeof(ref_data[0]);
std::cout << "buffer size: " << dst_buf_size << " bytes" << std::endl;
// upload program
std::cout << "upload program" << std::endl;
RT_CHECK(vx_upload_kernel_file(device, kernel_file));
// allocate device memory
std::cout << "allocate device memory" << std::endl;
// RT_CHECK(vx_mem_alloc(device, src_buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.addr_src));
// RT_CHECK(vx_mem_alloc(device, dst_buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.addr_dst));
kernel_arg.addr_src = 0x20000UL;
kernel_arg.addr_dst = 0xc0000000UL;
kernel_arg.size = size;
std::cout << "dev_addr_src=0x" << std::hex << kernel_arg.addr_src << std::endl;
std::cout << "dev_addr_dst=0x" << std::hex << kernel_arg.addr_dst << std::endl;
// allocate staging buffer
{
std::cout << "allocate staging buffer" << std::endl;
uint32_t staging_buf_size = std::max<uint32_t>(
src_buf_size,
std::max<uint32_t>(
src_buf_size,
std::max<uint32_t>(dst_buf_size, sizeof(kernel_arg_t))));
staging_buf.resize(staging_buf_size);
}
// upload kernel argument
{
std::cout << "upload kernel argument" << std::endl;
auto buf_ptr = staging_buf.data();
memcpy(buf_ptr, &kernel_arg, sizeof(kernel_arg_t));
RT_CHECK(vx_copy_to_dev(device, KERNEL_ARG_DEV_MEM_ADDR, staging_buf.data(), sizeof(kernel_arg_t)));
std::cout << "uploading argument buffer to device, device mem address="
<< std::hex << KERNEL_ARG_DEV_MEM_ADDR << ", size=" << std::dec
<< sizeof(kernel_arg_t) << " bytes\n";
std::ofstream file("args.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open args.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(staging_buf.data()),
sizeof(kernel_arg_t));
file.close();
}
// upload source buffer
{
{
auto buf_ptr = staging_buf.data();
memcpy(buf_ptr, src_data.data(), src_data.size() * sizeof(float));
RT_CHECK(vx_copy_to_dev(device, kernel_arg.addr_src, staging_buf.data(),
src_buf_size));
std::cout << "uploading source data to device, device mem address="
<< std::hex << kernel_arg.addr_src << ", size=" << std::dec
<< src_buf_size << " bytes\n";
std::ofstream file("input.a.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open input.a.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(buf_ptr), src_buf_size);
file.close();
}
}
// clear destination buffer
{
std::cout << "clear destination buffer" << std::endl;
auto buf_ptr = (int32_t*)staging_buf.data();
for (uint32_t i = 0; i < ref_data.size(); ++i) {
buf_ptr[i] = 0xdeadbeef;
}
RT_CHECK(vx_copy_to_dev(device, kernel_arg.addr_dst, staging_buf.data(), dst_buf_size));
}
// run tests
std::cout << "run tests" << std::endl;
RT_CHECK(run_test(kernel_arg, dst_buf_size, kernel_arg.size));
std::cout << "PASSED!" << std::endl;
// cleanup
std::cout << "cleanup" << std::endl;
cleanup();
return 0;
}

5
tests/regression/sgemm_gemmini/.gitignore vendored Normal file
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@@ -0,0 +1,5 @@
*.bin
*.dump
*.elf
sgemm_wg
.depend

9
tests/regression/sgemm_gemmini/Makefile Normal file
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@@ -0,0 +1,9 @@
PROJECT = sgemm_gemmini
SRCS = main.cpp common.h
VX_SRCS = kernel.cpp
OPTS ?= -n16
include ../common.mk

18
tests/regression/sgemm_gemmini/common.h Normal file
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@@ -0,0 +1,18 @@
#ifndef _COMMON_H_
#define _COMMON_H_
#include <cstdint>
#define KERNEL_ARG_DEV_MEM_ADDR 0x7fff0000
#define DEV_SMEM_START_ADDR 0xff000000
typedef struct {
uint32_t dim_m;
uint32_t dim_n;
uint32_t dim_k;
uint64_t addr_a;
uint64_t addr_b;
uint64_t addr_c;
} kernel_arg_t;
#endif

504
tests/regression/sgemm_gemmini/kernel.cpp Normal file
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@@ -0,0 +1,504 @@
#include <stdint.h>
#include <vx_intrinsics.h>
#include <vx_print.h>
#include <vx_spawn.h>
#include "common.h"
#include "include/gemmini.h"
#include "gemmini_mmio.h"
#define TILE_M 32
#define TILE_N 32
#define TILE_K 32
#define TILE_MN 1024
#define TILE_MK 1024
#define TILE_NK 1024
#define NUM_CLUSTERS 1
#define NUM_THREADS_IN_CLUSTER 128
#define SMEM_ADDR_0K ((float * const) 0xff000000)
#define SMEM_ADDR_4K ((float * const) 0xff001000)
#define SMEM_ADDR_8K ((float * const) 0xff002000)
#define SMEM_ADDR_12K ((float * const) 0xff003000)
#define SPAD_ADDR_0K 0x0
#define SPAD_ADDR_4K 0x80
#define SPAD_ADDR_8K 0x100
#define SPAD_ADDR_12K 0x180
// #define DEBUG_PRINT
// #define EXT_ACCUMULATE
#define HARDCODE
#define DBUF
// #define DETAILED_PERF
#define rd_cycles_force(x) asm volatile ("csrr %0, mcycle" : "=r" (x))
#ifdef DETAILED_PERF
#define rd_cycles(x) rd_cycles_force(x)
#else
#define rd_cycles(x)
#endif
#define HW_TID() ({uint32_t gtid; asm volatile ("csrr %0, mhartid" : "=r" (gtid)); gtid;})
#define PRINTF(...) sprintf(PRINT_BUF, __VA_ARGS__)
// #define PRINTF(...) vx_printf(__VA_ARGS__)
inline void threadblock_barrier(unsigned int barrier_id, unsigned int count) {
vx_fence();
vx_barrier(barrier_id, count);
}
void thread_block_matmul_gemmini(kernel_arg_t *__UNIFORM__ arg,
const uint32_t threadblock_id,
const uint32_t tid_in_threadblock) {
__asm__("matmul_start:");
const float * const A = (const float * const) arg->addr_a;
const float * const B = (const float * const) arg->addr_b;
float * const C = (float * const) arg->addr_c;
if (HW_TID() == 0) {
gemmini_config_ld(0);
gemmini_extended_config_ex(WEIGHT_STATIONARY, 0, 0, 1, 0, 0);
gemmini_config_st(0);
PRINTF("start\n");
}
vx_fence();
uint32_t marker0, marker1, marker2, marker3, marker4;
uint32_t marker5, marker6, marker7, marker8, marker9;
rd_cycles_force(marker0);
const uint32_t dim_m = arg->dim_m;
const uint32_t dim_n = arg->dim_n;
const uint32_t dim_k = arg->dim_k;
const uint32_t num_tiles_m = dim_m / TILE_M;
const uint32_t num_tiles_n = dim_n / TILE_N;
const uint32_t num_tiles_k = dim_k / TILE_K;
constexpr uint32_t num_threads_in_cluster = NUM_THREADS_IN_CLUSTER;
constexpr uint32_t a_elems_per_thread = TILE_MK / num_threads_in_cluster;
constexpr uint32_t b_elems_per_thread = TILE_NK / num_threads_in_cluster;
constexpr uint32_t c_elems_per_thread = TILE_MN / num_threads_in_cluster;
const uint32_t hw_tid = tid_in_threadblock % num_threads_in_cluster;
// the dram coordinates are (i1 + i0, j1 + j0). i0 and j0 are both spatially mapped only.
const uint32_t j0 = HW_TID() % DIM;
const uint32_t i0 = (HW_TID() / DIM) % DIM;
// j1 is both spatially and temporally mapped. j1 increases every iteration.
const uint32_t j1_idx = (HW_TID() / DIM / DIM) * DIM; // A: % TILE_K, B: % TILE_N, C: % TILE_N
// every iteratioon, j1 increases by j1_stride
constexpr uint32_t j1_stride = (num_threads_in_cluster / DIM / DIM) * DIM; // mod TILE_W after stride
// i1 is only temporally mapped. i1 increments every one or more iterations
constexpr uint32_t i1_stride = DIM; // step per increment (increment doesnt happen every iteration)
constexpr uint32_t i1_iters = (DIM * DIM * (TILE_K / DIM)) / num_threads_in_cluster; // num of iters before striding
const uint32_t num_tile_rows_per_tb = num_tiles_m / NUM_CLUSTERS;
for (uint32_t tile_i = num_tile_rows_per_tb * threadblock_id;
tile_i < num_tile_rows_per_tb * (threadblock_id + 1);
tile_i += 1) {
__asm__("i_loop:");
for (int tile_j = 0; tile_j < num_tiles_n; tile_j += 1) {
__asm__("j_loop:");
float * const smem_c_tile_start = SMEM_ADDR_4K;
#ifndef EXT_ACCUMULATE
float * const smem_acc_tile_start = SMEM_ADDR_0K + HW_TID();
#else
float * const smem_acc_tile_start = SMEM_ADDR_8K + hw_tid;
#endif
__asm__("k_loop:");
for (int tile_k = 0; tile_k < num_tiles_k; tile_k += 1) {
// TODO: double buffer
rd_cycles(marker1);
#ifdef HARDCODE
#if (TILE_MK / NUM_THREADS / NUM_WARPS / CORES_PER_CLUSTER) != 8
#error CANNOT UNROLL
#endif
constexpr uint32_t every_iter = j1_stride;
const uint32_t every_2iters_a = i1_stride * dim_k;
const uint32_t runtime_const_a = i0 * dim_k + j1_idx + j0;
const uint32_t every_2iters_b = i1_stride * dim_n;
const uint32_t runtime_const_b = i0 * dim_n + j1_idx + j0;
const float * const dram_a_tile_start = A + tile_i * TILE_M * dim_k + tile_k * TILE_K + runtime_const_a;
const float * const dram_b_tile_start = B + tile_k * TILE_K * dim_n + tile_j * TILE_N + runtime_const_b;
#ifdef DBUF
float * const smem_a_tile_start = ((tile_k & 1) ? SMEM_ADDR_4K : SMEM_ADDR_0K) + HW_TID();
float * const smem_b_tile_start = ((tile_k & 1) ? SMEM_ADDR_12K : SMEM_ADDR_8K) + HW_TID();
#else
float * const smem_a_tile_start = SMEM_ADDR_0K + HW_TID();
float * const smem_b_tile_start = SMEM_ADDR_12K + HW_TID();
#endif
{
__asm__("load_ab:");
float v0 = dram_a_tile_start[every_iter * 0 + every_2iters_a * 0];
float v1 = dram_a_tile_start[every_iter * 1 + every_2iters_a * 0];
float v2 = dram_a_tile_start[every_iter * 0 + every_2iters_a * 1];
float v3 = dram_a_tile_start[every_iter * 1 + every_2iters_a * 1];
smem_a_tile_start[0 * num_threads_in_cluster] = v0;
smem_a_tile_start[1 * num_threads_in_cluster] = v1;
smem_a_tile_start[2 * num_threads_in_cluster] = v2;
smem_a_tile_start[3 * num_threads_in_cluster] = v3;
__asm__("load_ab1:");
v0 = dram_b_tile_start[every_iter * 0 + every_2iters_b * 0];
v1 = dram_b_tile_start[every_iter * 1 + every_2iters_b * 0];
v2 = dram_b_tile_start[every_iter * 0 + every_2iters_b * 1];
v3 = dram_b_tile_start[every_iter * 1 + every_2iters_b * 1];
smem_b_tile_start[0 * num_threads_in_cluster] = v0;
smem_b_tile_start[1 * num_threads_in_cluster] = v1;
smem_b_tile_start[2 * num_threads_in_cluster] = v2;
smem_b_tile_start[3 * num_threads_in_cluster] = v3;
__asm__("load_ab2:");
v0 = dram_a_tile_start[every_iter * 0 + every_2iters_a * 2];
v1 = dram_a_tile_start[every_iter * 1 + every_2iters_a * 2];
v2 = dram_a_tile_start[every_iter * 0 + every_2iters_a * 3];
v3 = dram_a_tile_start[every_iter * 1 + every_2iters_a * 3];
smem_a_tile_start[4 * num_threads_in_cluster] = v0;
smem_a_tile_start[5 * num_threads_in_cluster] = v1;
smem_a_tile_start[6 * num_threads_in_cluster] = v2;
smem_a_tile_start[7 * num_threads_in_cluster] = v3;
__asm__("load_ab3:");
v0 = dram_b_tile_start[every_iter * 0 + every_2iters_b * 2];
v1 = dram_b_tile_start[every_iter * 1 + every_2iters_b * 2];
v2 = dram_b_tile_start[every_iter * 0 + every_2iters_b * 3];
v3 = dram_b_tile_start[every_iter * 1 + every_2iters_b * 3];
smem_b_tile_start[4 * num_threads_in_cluster] = v0;
smem_b_tile_start[5 * num_threads_in_cluster] = v1;
smem_b_tile_start[6 * num_threads_in_cluster] = v2;
smem_b_tile_start[7 * num_threads_in_cluster] = v3;
__asm__("end_loadab:");
}
#else
/* smem_a_tile_start[0 * num_threads_in_cluster + hw_tid] = \
dram_a_tile_start[runtime_const + every_iter * 0 + every_2iters * 0];
smem_a_tile_start[1 * num_threads_in_cluster + hw_tid] = \
dram_a_tile_start[runtime_const + every_iter * 1 + every_2iters * 0];
smem_a_tile_start[2 * num_threads_in_cluster + hw_tid] = \
dram_a_tile_start[runtime_const + every_iter * 0 + every_2iters * 1];
smem_a_tile_start[3 * num_threads_in_cluster + hw_tid] = \
dram_a_tile_start[runtime_const + every_iter * 1 + every_2iters * 1];
smem_a_tile_start[4 * num_threads_in_cluster + hw_tid] = \
dram_a_tile_start[runtime_const + every_iter * 0 + every_2iters * 2];
smem_a_tile_start[5 * num_threads_in_cluster + hw_tid] = \
dram_a_tile_start[runtime_const + every_iter * 1 + every_2iters * 2];
smem_a_tile_start[6 * num_threads_in_cluster + hw_tid] = \
dram_a_tile_start[runtime_const + every_iter * 0 + every_2iters * 3];
smem_a_tile_start[7 * num_threads_in_cluster + hw_tid] = \
dram_a_tile_start[runtime_const + every_iter * 1 + every_2iters * 3];
smem_b_tile_start[0 * num_threads_in_cluster + hw_tid] = \
dram_b_tile_start[runtime_const + every_iter * 0 + every_2iters * 0];
smem_b_tile_start[1 * num_threads_in_cluster + hw_tid] = \
dram_b_tile_start[runtime_const + every_iter * 1 + every_2iters * 0];
smem_b_tile_start[2 * num_threads_in_cluster + hw_tid] = \
dram_b_tile_start[runtime_const + every_iter * 0 + every_2iters * 1];
smem_b_tile_start[3 * num_threads_in_cluster + hw_tid] = \
dram_b_tile_start[runtime_const + every_iter * 1 + every_2iters * 1];
smem_b_tile_start[4 * num_threads_in_cluster + hw_tid] = \
dram_b_tile_start[runtime_const + every_iter * 0 + every_2iters * 2];
smem_b_tile_start[5 * num_threads_in_cluster + hw_tid] = \
dram_b_tile_start[runtime_const + every_iter * 1 + every_2iters * 2];
smem_b_tile_start[6 * num_threads_in_cluster + hw_tid] = \
dram_b_tile_start[runtime_const + every_iter * 0 + every_2iters * 3];
smem_b_tile_start[7 * num_threads_in_cluster + hw_tid] = \
dram_b_tile_start[runtime_const + every_iter * 1 + every_2iters * 3]; */
const float * const dram_a_tile_start = A + tile_i * TILE_M * dim_k + tile_k * TILE_K;
const float * const dram_b_tile_start = B + tile_k * TILE_K * dim_n + tile_j * TILE_N;
float * const smem_a_tile_start = SMEM_ADDR_0K;
float * const smem_b_tile_start = SMEM_ADDR_12K;
#pragma GCC unroll 8 // TODO: macro computed
for (uint32_t thread_i = 0, j1 = 0, i1 = 0;
thread_i < a_elems_per_thread;
thread_i += 1,
j1 = (j1 + j1_stride) % TILE_K,
i1 = (thread_i % i1_iters == 0) ? i1 + i1_stride : i1) {
smem_a_tile_start[thread_i * num_threads_in_cluster + hw_tid] = \
dram_a_tile_start[(0 + i0) * dim_k + j1 + j1_idx + j0];
}
// for (int thread_i = 0; thread_i < a_elems_per_thread; thread_i++) {
// uint32_t elem_offset = thread_load_offset + thread_load_stride * thread_i;
// smem_a_tile_start[SMEM_MAT_OFFSET(elem_offset / TILE_K, elem_offset % TILE_K, TILE_K)] = \
// dram_a_tile_start[elem_offset / TILE_K * dim_k + elem_offset % TILE_K];
// }
#pragma GCC unroll 8
for (int thread_i = 0; thread_i < b_elems_per_thread; thread_i++) {
uint32_t elem_offset = thread_load_offset + thread_load_stride * thread_i;
smem_b_tile_start[SMEM_MAT_OFFSET(elem_offset / TILE_N, elem_offset % TILE_N, TILE_N)] = \
dram_b_tile_start[elem_offset / TILE_N * dim_n + elem_offset % TILE_N];
}
#endif
#ifdef DEBUG_PRINT
if (hw_tid == 0) {
PRINTF("\nA %d %d\n", tile_i, tile_k);
for (int i = 0; i < TILE_M; i += 8) {
for (int j = 0; j < TILE_K; j += 8) {
uint32_t mat_offset = SMEM_MAT_OFFSET(i, j, TILE_K);
PRINTF("%x %x ",
(int) (smem_a_tile_start[mat_offset]),
(int) (smem_a_tile_start[mat_offset + 4])
);
}
PRINTF("\n");
}
PRINTF("\nB %d %d\n", tile_k, tile_j);
for (int i = 0; i < TILE_K; i += 8) {
for (int j = 0; j < TILE_N; j += 8) {
uint32_t mat_offset = SMEM_MAT_OFFSET(i, j, TILE_N);
PRINTF("%x %x ",
(int) (smem_b_tile_start[mat_offset]),
(int) (smem_b_tile_start[mat_offset + 4])
);
}
PRINTF("\n");
}
}
#endif
rd_cycles(marker2);
// cluster wide barrier to wait for A and B loads to complete
threadblock_barrier(/*barrier_id=*/0, /*count=*/NUM_WARPS);
rd_cycles(marker3);
__asm__("gemmini:");
if (HW_TID() == 0) {
#ifdef DBUF
gemmini_fence();
#endif
sp_tiled_matmul_full_spad_ws(
#ifdef DBUF
(tile_k & 1) ? SPAD_ADDR_4K : SPAD_ADDR_0K, (tile_k & 1) ? SPAD_ADDR_12K : SPAD_ADDR_8K,
#else
SPAD_ADDR_0K, SPAD_ADDR_12K,
#endif
/*spad_D=*/0, /*spad_C=*/SPAD_ADDR_4K,
/*I=*/TILE_M / DIM, /*J=*/TILE_N / DIM, /*K=*/TILE_K / DIM, /*pad_I=*/0, /*pad_J=*/0, /*pad_K=*/0,
/*a_transpose=*/0, /*b_transpose=*/0, /*full_C=*/0, /*low_D=*/0,
#ifdef EXT_ACCUMULATE
/*acc=*/0, /*act=*/NO_ACTIVATION, /*skips=*/0x38U);
#else
/*acc=*/tile_k != 0, /*act=*/NO_ACTIVATION, /*skips=*/0xB8U);
#endif
#ifndef DBUF
gemmini_fence();
#endif
}
__asm__("end_gemmini:");
rd_cycles(marker4);
threadblock_barrier(/*barrier_id=*/0, /*count=*/NUM_WARPS);
rd_cycles(marker5);
// accumulate C matrix
#ifdef EXT_ACCUMULATE
__asm__("accumulate:");
if (tile_k == 0) {
#pragma GCC ivdep
#pragma GCC unroll 8
for (int thread_i = 0; thread_i < c_elems_per_thread; thread_i++) {
constexpr uint32_t s = num_threads_in_cluster;
smem_acc_tile_start[thread_i * s] = smem_c_tile_start[hw_tid + s * thread_i];
}
} else {
#if (TILE_NK / NUM_THREADS / NUM_WARPS / CORES_PER_CLUSTER) != 8
#error CANNOT UNROLL
#endif
for (int thread_i = 0; thread_i < c_elems_per_thread; thread_i += 8) {
constexpr uint32_t s = num_threads_in_cluster;
smem_acc_tile_start[s * 0] += smem_c_tile_start[hw_tid + s * 0];
smem_acc_tile_start[s * 1] += smem_c_tile_start[hw_tid + s * 1];
smem_acc_tile_start[s * 2] += smem_c_tile_start[hw_tid + s * 2];
smem_acc_tile_start[s * 3] += smem_c_tile_start[hw_tid + s * 3];
smem_acc_tile_start[s * 4] += smem_c_tile_start[hw_tid + s * 4];
smem_acc_tile_start[s * 5] += smem_c_tile_start[hw_tid + s * 5];
smem_acc_tile_start[s * 6] += smem_c_tile_start[hw_tid + s * 6];
smem_acc_tile_start[s * 7] += smem_c_tile_start[hw_tid + s * 7];
}
}
__asm__("end_accumulate:");
#endif
#ifdef DEBUG_PRINT
if (hw_tid == 0) {
PRINTF("\nC %d %d %d\n", tile_i, tile_j, tile_k);
for (int i = 0; i < TILE_M; i += 8) {
for (int j = 0; j < TILE_N; j += 8) {
uint32_t mat_offset = SMEM_MAT_OFFSET(i, j, TILE_N);
PRINTF("%d %d ",
(int) (smem_c_tile_start[mat_offset]),
(int) (smem_c_tile_start[mat_offset + 4])
);
}
PRINTF("\n");
}
}
#endif
rd_cycles(marker6);
/* if (HW_TID() == 0) {
PRINTF("\ntile start: %d\n", marker1);
PRINTF("single tile cycles: %d\n", marker6 - marker1);
PRINTF("A/B tile load cycles: %d\n", marker2 - marker1);
PRINTF("first barrier: %d\n", marker3 - marker2);
PRINTF("gemmini cycles: %d\n", marker4 - marker3);
PRINTF("second barrier: %d\n", marker5 - marker4);
} */
}
#ifndef EXT_ACCUMULATE
threadblock_barrier(/*barrier_id=*/0, /*count=*/NUM_WARPS);
rd_cycles(marker6);
__asm__("mvout_spad_ser:");
// mvout to scratchpad for activation
if (HW_TID() == 0) {
__asm__("mvout_spad:");
#ifdef DBUF
gemmini_fence();
#endif
ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC, 0, (4ULL << 32) | (4ULL << 16) | 4ULL, k_LOOP_WS_CONFIG_BOUNDS)
ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC, 0, 0x278U, k_LOOP_WS)
/* #pragma gcc unroll 16
for (int i = 0; i < TILE_MN / DIM; i += DIM) {
gemmini_mvout_spad(i, 0x80000000ULL + i); // FIXME: C is not necessarily at 0
} */
__asm__("mvout_spad_fence:");
gemmini_fence();
}
__asm__("mvout_spad_bar:");
threadblock_barrier(/*barrier_id=*/0, /*count=*/NUM_WARPS);
__asm__("end_mvout_spad:");
#endif
rd_cycles(marker7);
// move out to dram
__asm__("mvout_dram:");
#ifdef HARDCODE
#if (TILE_MN / NUM_THREADS / NUM_WARPS / CORES_PER_CLUSTER) != 8
#error CANNOT UNROLL
#endif
constexpr uint32_t every_iter = j1_stride;
const uint32_t every_2iters = i1_stride * dim_n;
const uint32_t runtime_const = i0 * dim_n + j1_idx + j0;
float * const dram_c_tile_start = C + tile_i * TILE_M * dim_n + tile_j * TILE_N + runtime_const;
float v0 = smem_acc_tile_start[0 * num_threads_in_cluster];
float v1 = smem_acc_tile_start[1 * num_threads_in_cluster];
float v2 = smem_acc_tile_start[2 * num_threads_in_cluster];
float v3 = smem_acc_tile_start[3 * num_threads_in_cluster];
dram_c_tile_start[every_iter * 0 + every_2iters * 0] = v0;
dram_c_tile_start[every_iter * 1 + every_2iters * 0] = v1;
dram_c_tile_start[every_iter * 0 + every_2iters * 1] = v2;
dram_c_tile_start[every_iter * 1 + every_2iters * 1] = v3;
v0 = smem_acc_tile_start[4 * num_threads_in_cluster];
v1 = smem_acc_tile_start[5 * num_threads_in_cluster];
v2 = smem_acc_tile_start[6 * num_threads_in_cluster];
v3 = smem_acc_tile_start[7 * num_threads_in_cluster];
dram_c_tile_start[every_iter * 0 + every_2iters * 2] = v0;
dram_c_tile_start[every_iter * 1 + every_2iters * 2] = v1;
dram_c_tile_start[every_iter * 0 + every_2iters * 3] = v2;
dram_c_tile_start[every_iter * 1 + every_2iters * 3] = v3;
#else
/*dram_c_tile_start[runtime_const + every_iter * 0 + every_2iters * 0] = \
smem_acc_tile_start[0 * num_threads_in_cluster];
dram_c_tile_start[runtime_const + every_iter * 1 + every_2iters * 0] = \
smem_acc_tile_start[1 * num_threads_in_cluster];
dram_c_tile_start[runtime_const + every_iter * 0 + every_2iters * 1] = \
smem_acc_tile_start[2 * num_threads_in_cluster];
dram_c_tile_start[runtime_const + every_iter * 1 + every_2iters * 1] = \
smem_acc_tile_start[3 * num_threads_in_cluster];
dram_c_tile_start[runtime_const + every_iter * 0 + every_2iters * 2] = \
smem_acc_tile_start[4 * num_threads_in_cluster];
dram_c_tile_start[runtime_const + every_iter * 1 + every_2iters * 2] = \
smem_acc_tile_start[5 * num_threads_in_cluster];
dram_c_tile_start[runtime_const + every_iter * 0 + every_2iters * 3] = \
smem_acc_tile_start[6 * num_threads_in_cluster];
dram_c_tile_start[runtime_const + every_iter * 1 + every_2iters * 3] = \
smem_acc_tile_start[7 * num_threads_in_cluster];*/
#pragma GCC unroll 8
for (int thread_i = 0; thread_i < c_elems_per_thread; thread_i++) {
uint32_t elem_offset = thread_load_offset + thread_load_stride * thread_i;
dram_c_tile_start[elem_offset / TILE_N * dim_n + elem_offset % TILE_N] = \
*(SMEM_ADDR_8K + SMEM_MAT_OFFSET(elem_offset / TILE_N, elem_offset % TILE_N, TILE_N));
}
#endif
__asm__("end_mvout_dram:");
rd_cycles(marker8);
}
}
// last thread block complete
if (threadblock_id == NUM_CLUSTERS - 1) {
threadblock_barrier(/*barrier_id=*/0, /*count=*/NUM_WARPS);
rd_cycles_force(marker9);
if (HW_TID() == 0) {
PRINTF("\ncomplete\n");
PRINTF("total cycles: %d\n", marker9 - marker0);
}
#ifdef DETAILED_PERF
vx_tmc(0x81);
for (int x = 0; x < num_threads_in_cluster; x += num_threads_in_cluster - 1) {
if (HW_TID() == x) {
PRINTF("\ntile start: %d\n", marker1);
PRINTF("single tile cycles: %d\n", marker6 - marker1);
PRINTF("A/B tile load cycles: %d\n", marker2 - marker1);
PRINTF("first barrier: %d\n", marker3 - marker2);
PRINTF("gemmini cycles: %d\n", marker4 - marker3);
PRINTF("second barrier: %d\n", marker5 - marker4);
#ifdef EXT_ACCUMULATE
PRINTF("accumulation cycles: %d\n", marker6 - marker5);
#else
PRINTF("smem mvout cycles: %d %d-%d\n", marker7 - marker6, marker7, marker6);
#endif
PRINTF("dram mvout cycles: %d\n", marker8 - marker7);
}
threadblock_barrier(/*barrier_id=*/1, /*count=*/NUM_WARPS);
}
#endif
if (HW_TID() == 0) {
for (int i = 0; i < dim_m; i += 8) {
for (int j = 0; j < dim_n; j += 8) {
PRINTF("%d %d ", (int) (C[i * dim_n + j]), (int) (C[i * dim_n + j + 4]));
}
PRINTF("\n");
}
}
}
vx_tmc(0);
}
void kernel_body(int task_id, kernel_arg_t *__UNIFORM__ arg) {
// @perf: All threads are running these compute whose result is mostly same
// across the threadblock
const int threadblock_id = task_id / NUM_THREADS_IN_CLUSTER;
const int tid_in_threadblock = task_id % NUM_THREADS_IN_CLUSTER;
thread_block_matmul_gemmini(arg, threadblock_id, tid_in_threadblock);
}
int main() {
kernel_arg_t *arg = (kernel_arg_t *)KERNEL_ARG_DEV_MEM_ADDR;
const uint32_t num_threads_in_cluster = vx_num_threads() * vx_num_warps() * CORES_PER_CLUSTER;
const uint32_t grid_size = num_threads_in_cluster * NUM_CLUSTERS;
#ifdef RADIANCE
vx_spawn_tasks_cluster(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
#else
// NOTE: This kernel assumes contiguous thread scheduling for efficient shared
// memory allocation, and therefore does not work with original vx_spawn_tasks
vx_spawn_tasks_contiguous(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
#endif
return 0;
}

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tests/regression/sgemm_gemmini/main.cpp Normal file
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#include <iostream>
#include <fstream>
#include <unistd.h>
#include <string.h>
#include <vortex.h>
#include <vector>
#include "common.h"
#define RT_CHECK(_expr) \
do { \
int _ret = _expr; \
if (0 == _ret) \
break; \
printf("Error: '%s' returned %d!\n", #_expr, (int)_ret); \
cleanup(); \
exit(-1); \
} while (false)
///////////////////////////////////////////////////////////////////////////////
const char* kernel_file = "kernel.bin";
uint32_t count = 0;
std::vector<float> src_a_data;
std::vector<float> src_b_data;
std::vector<float> ref_data;
vx_device_h device = nullptr;
std::vector<uint8_t> staging_buf;
kernel_arg_t kernel_arg = {};
static void show_usage() {
std::cout << "Vortex Test." << std::endl;
std::cout << "Usage: [-k: kernel] [-n words] [-h: help]" << std::endl;
}
static void parse_args(int argc, char **argv) {
int c;
while ((c = getopt(argc, argv, "n:k:h?")) != -1) {
switch (c) {
case 'n':
count = atoi(optarg);
break;
case 'k':
kernel_file = optarg;
break;
case 'h':
case '?': {
show_usage();
exit(0);
} break;
default:
show_usage();
exit(-1);
}
}
}
void cleanup() {
if (device) {
vx_mem_free(device, kernel_arg.addr_a);
vx_mem_free(device, kernel_arg.addr_b);
vx_mem_free(device, kernel_arg.addr_c);
vx_dev_close(device);
}
}
void generate_source_matrix(uint32_t dim_m, uint32_t dim_n, uint32_t dim_k) {
src_a_data.resize(dim_m * dim_k);
src_b_data.resize(dim_k * dim_n);
for (uint32_t i = 0; i < src_a_data.size(); ++i) {
src_a_data[i] = static_cast<float>(i);
std::cout << "A: " << i << ": value=" << src_a_data[i] << std::endl;
}
for (uint32_t i = 0; i < src_b_data.size(); ++i) {
src_b_data[i] = static_cast<float>(i);
std::cout << "B: " << i << ": value=" << src_b_data[i] << std::endl;
}
}
void generate_reference_matmul(uint32_t dim_m, uint32_t dim_n, uint32_t dim_k) {
ref_data.resize(dim_m * dim_n);
for (uint32_t i = 0; i < dim_m; ++i) {
for (uint32_t j = 0; j < dim_n; ++j) {
float ref = 0.0f;
for (uint32_t k = 0; k < dim_k; ++k) {
ref += src_a_data[dim_k * i + k] * src_b_data[dim_n * k + j];
}
ref_data.at(dim_n * i + j) = ref;
}
}
}
int run_test(const kernel_arg_t& kernel_arg,
uint32_t buf_size,
uint32_t dim_m, uint32_t dim_n) {
// start device
std::cout << "start device" << std::endl;
RT_CHECK(vx_start(device));
// wait for completion
std::cout << "wait for completion" << std::endl;
RT_CHECK(vx_ready_wait(device, VX_MAX_TIMEOUT));
// download destination buffer
std::cout << "download destination buffer" << std::endl;
RT_CHECK(vx_copy_from_dev(device, staging_buf.data(), kernel_arg.addr_c, buf_size));
// verify result
std::cout << "verify result" << std::endl;
{
int errors = 0;
auto buf_ptr = (float*)staging_buf.data();
for (uint32_t i = 0; i < dim_m * dim_n; ++i) {
float ref = ref_data.at(i);
float cur = buf_ptr[i];
if (std::abs((cur - ref) / ref) > 1e-6) {
std::cout << "error at result #" << std::dec << i
<< std::hex << ": actual=" << cur << ", expected=" << ref << std::endl;
++errors;
}
}
if (errors != 0) {
std::cout << "Found " << std::dec << errors << " errors!" << std::endl;
std::cout << "FAILED!" << std::endl;
return 1;
}
}
return 0;
}
int main(int argc, char *argv[]) {
// parse command arguments
parse_args(argc, argv);
if (count == 0) {
count = 1;
}
std::srand(50);
// open device connection
std::cout << "open device connection" << std::endl;
RT_CHECK(vx_dev_open(&device));
// FIXME: hardcoded
uint32_t dim_m = 64;
uint32_t dim_n = 64;
uint32_t dim_k = 64;
generate_source_matrix(dim_m, dim_n, dim_k);
generate_reference_matmul(dim_m, dim_n, dim_k);
uint32_t src_a_buf_size = src_a_data.size() * sizeof(src_a_data[0]);
uint32_t src_b_buf_size = src_b_data.size() * sizeof(src_b_data[0]);
uint32_t dst_buf_size = ref_data.size() * sizeof(src_a_data[0]);
std::cout << "buffer size: " << dst_buf_size << " bytes" << std::endl;
// upload program
std::cout << "upload program" << std::endl;
RT_CHECK(vx_upload_kernel_file(device, kernel_file));
// allocate device memory
std::cout << "allocate device memory" << std::endl;
RT_CHECK(vx_mem_alloc(device, src_a_buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.addr_a));
RT_CHECK(vx_mem_alloc(device, src_b_buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.addr_b));
RT_CHECK(vx_mem_alloc(device, dst_buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.addr_c));
kernel_arg.dim_m = dim_m;
kernel_arg.dim_n = dim_n;
kernel_arg.dim_k = dim_k;
std::cout << "dev_addr_a=0x" << std::hex << kernel_arg.addr_a << std::endl;
std::cout << "dev_addr_b=0x" << std::hex << kernel_arg.addr_b << std::endl;
std::cout << "dev_addr_c=0x" << std::hex << kernel_arg.addr_c << std::endl;
// allocate staging buffer
{
std::cout << "allocate staging buffer" << std::endl;
uint32_t staging_buf_size = std::max<uint32_t>(
src_a_buf_size,
std::max<uint32_t>(
src_b_buf_size,
std::max<uint32_t>(dst_buf_size, sizeof(kernel_arg_t))));
staging_buf.resize(staging_buf_size);
}
// upload kernel argument
{
std::cout << "upload kernel argument" << std::endl;
auto buf_ptr = staging_buf.data();
kernel_arg.addr_a = (uint64_t) 0x20000;
kernel_arg.addr_b = (uint64_t) 0x28000;
kernel_arg.addr_c = (uint64_t) 0xc0000000ULL;
memcpy(buf_ptr, &kernel_arg, sizeof(kernel_arg_t));
std::cout << "uploading argument buffer to device, device mem address="
<< std::hex << KERNEL_ARG_DEV_MEM_ADDR << ", size=" << std::dec
<< sizeof(kernel_arg_t) << " bytes\n";
std::ofstream file("args.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open args.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(staging_buf.data()),
sizeof(kernel_arg_t));
file.close();
RT_CHECK(vx_copy_to_dev(device, KERNEL_ARG_DEV_MEM_ADDR, staging_buf.data(), sizeof(kernel_arg_t)));
}
// upload source buffer
{
{
auto buf_ptr = staging_buf.data();
memcpy(buf_ptr, src_a_data.data(), src_a_data.size() * sizeof(float));
RT_CHECK(vx_copy_to_dev(device, kernel_arg.addr_a, staging_buf.data(),
src_a_buf_size));
std::cout << "uploading source A matrix to device, device mem address="
<< std::hex << kernel_arg.addr_a << ", size=" << std::dec
<< src_a_buf_size << " bytes\n";
std::ofstream file("input.a.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open args.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(buf_ptr), src_a_buf_size);
file.close();
}
{
auto buf_ptr = staging_buf.data();
memcpy(buf_ptr, src_b_data.data(), src_b_data.size() * sizeof(float));
RT_CHECK(vx_copy_to_dev(device, kernel_arg.addr_b, staging_buf.data(),
src_b_buf_size));
std::cout << "uploading source B matrix to device, device mem address="
<< std::hex << kernel_arg.addr_b << ", size=" << std::dec
<< src_b_buf_size << " bytes\n";
std::ofstream file("input.b.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open args.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(buf_ptr), src_b_buf_size);
file.close();
}
}
// clear destination buffer
{
std::cout << "clear destination buffer" << std::endl;
auto buf_ptr = (int32_t*)staging_buf.data();
for (uint32_t i = 0; i < ref_data.size(); ++i) {
buf_ptr[i] = 0xdeadbeef;
}
RT_CHECK(vx_copy_to_dev(device, kernel_arg.addr_c, staging_buf.data(), dst_buf_size));
}
// run tests
std::cout << "run tests" << std::endl;
RT_CHECK(run_test(kernel_arg, dst_buf_size, kernel_arg.dim_m, kernel_arg.dim_n));
std::cout << "PASSED!" << std::endl;
// cleanup
std::cout << "cleanup" << std::endl;
cleanup();
return 0;
}

BIN
tests/regression/sgemm_gemmini/sgemm_gemmini Executable file
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5
tests/regression/sgemm_wg/.gitignore vendored Normal file
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@@ -0,0 +1,5 @@
*.bin
*.dump
*.elf
sgemm_wg
.depend

9
tests/regression/sgemm_wg/Makefile Normal file
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@@ -0,0 +1,9 @@
PROJECT = sgemm_wg
SRCS = main.cpp common.h
VX_SRCS = kernel.cpp
OPTS ?= -n16
include ../common.mk

18
tests/regression/sgemm_wg/common.h Normal file
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@@ -0,0 +1,18 @@
#ifndef _COMMON_H_
#define _COMMON_H_
#include <cstdint>
#define KERNEL_ARG_DEV_MEM_ADDR 0x7fff0000
#define DEV_SMEM_START_ADDR 0xff000000
typedef struct {
uint32_t dim_m;
uint32_t dim_n;
uint32_t dim_k;
uint64_t addr_a;
uint64_t addr_b;
uint64_t addr_c;
} kernel_arg_t;
#endif

192
tests/regression/sgemm_wg/kernel.cpp Normal file
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#include <stdint.h>
#include <vx_intrinsics.h>
#include <vx_print.h>
#include <vx_spawn.h>
#include "common.h"
// Constraints on parameters:
// * Memory:
// (BM + BN) * BK * sizeof(float) <= sharedmem size.
// BM * BK == BN * BK >= threadblock size >= NT * CORES_PER_CLUSTER
// When larger, the kernel runs a sequential loop to read into sharedmem;
// but smaller case is not handled.
// * Compute:
// ( M* N) / (TM*TN) == grid size >= NC*NW*NT
// (BM*BN) / (TM*TN) == threadblock size < NT * NW * CORES_PER_CLUSTER
// (BM*BN) / (TM*TN) == threadblock size >= NT * CORES_PER_CLUSTER
// * Combining BM * BK >= (BM*BN) / (TM*TN) == threadblock yields
// BM <= BK*TM*TN
#define BM 32
#define BN BM
#define BK 8
#define TM 4
#define TN 4
void threadblock_barrier(unsigned int tid_in_threadblock, unsigned int barrier_id, unsigned int count) {
vx_fence();
vx_barrier(barrier_id, count);
}
void thread_block_gemm(kernel_arg_t *__UNIFORM__ arg,
const uint32_t tid_in_threadblock,
const uint32_t threadblock_dim_x,
const uint32_t threadblock_dim_y,
const uint32_t threadblock_id_x,
const uint32_t threadblock_id_y,
const uint32_t threadblock_id_in_cluster,
float *sharedmem_per_threadblock) {
const float *A = (const float *)arg->addr_a;
const float *B = (const float *)arg->addr_b;
float *C = (float *)arg->addr_c;
// assumes NT == NW == matrix_dim
const uint32_t dim_m = arg->dim_m;
const uint32_t dim_n = arg->dim_n;
const uint32_t dim_k = arg->dim_k;
// FIXME: Output block size is assumed to be square, i.e. BM == BN
// const uint32_t BM = threadblock_dim_y;
// const uint32_t BN = threadblock_dim_y;
// const uint32_t BK = threadblock_dim_x;
// constexpr uint32_t BM = 8;
// constexpr uint32_t BN = 8;
// constexpr uint32_t BK = 2;
const uint32_t local_a_row = tid_in_threadblock / BK;
const uint32_t local_a_col = tid_in_threadblock % BK;
const uint32_t local_b_row = tid_in_threadblock / BN;
const uint32_t local_b_col = tid_in_threadblock % BN;
const uint32_t global_a_row = BM * threadblock_id_y + local_a_row;
const uint32_t global_b_col = BN * threadblock_id_x + local_b_col;
const uint32_t local_c_row = tid_in_threadblock / (BN / TN);
const uint32_t local_c_col = tid_in_threadblock % (BN / TN);
// each thread generates TM output element
float reg_c[TM * TN] = { 0.0f };
float reg_a[TM] = { 0.0f };
float reg_b[TN] = { 0.0f };
volatile float *local_a = sharedmem_per_threadblock;
// const size_t local_a_elems = threadblock_dim_x * threadblock_dim_y;
const size_t local_a_elems = (BM * BK);
volatile float *local_b = sharedmem_per_threadblock + local_a_elems;
constexpr uint32_t stride_a = (BM * BN) / BK / (TM * TN);
constexpr uint32_t stride_b = (BM * BN) / BN / (TM * TN);
for (uint32_t k = 0; k < dim_k; k += BK) {
// Data move from GMEM to SMEM
//
// Make sure global offset values for A and B are contiguous between
// neighboring threads to ensure GMEM coalescing.
#pragma GCC unroll 2
for (uint32_t load_offset = 0; load_offset < BM; load_offset += stride_a) {
const uint32_t global_a_offset =
dim_k * (global_a_row + load_offset) + (k + local_a_col);
local_a[BK * (local_a_row + load_offset) + local_a_col] =
A[global_a_offset];
}
#pragma GCC unroll 2
for (uint32_t load_offset = 0; load_offset < BK; load_offset += stride_b) {
const uint32_t global_b_offset =
dim_n * (k + local_b_row + load_offset) + global_b_col;
local_b[BN * (local_b_row + load_offset) + local_b_col] =
B[global_b_offset];
}
threadblock_barrier(tid_in_threadblock, threadblock_id_in_cluster,
threadblock_dim_y);
// Compute single tile*tile matmul
#pragma GCC unroll 4
for (uint32_t local_k = 0; local_k < BK; local_k++) {
// First, pump data from SMEM->RF
#pragma GCC unroll TM
for (uint32_t res_idx_m = 0; res_idx_m < TM; res_idx_m++) {
reg_a[res_idx_m] =
local_a[BK * (TM * local_c_row + res_idx_m) + local_k];
}
#pragma GCC unroll TN
for (uint32_t res_idx_n = 0; res_idx_n < TN; res_idx_n++) {
reg_b[res_idx_n] =
local_b[BN * local_k + (TN * local_c_col + res_idx_n)];
}
// Next, compute multiple result elements (TM*TN) by reusing data in RF
#pragma GCC unroll TM
for (uint32_t res_idx_m = 0; res_idx_m < TM; res_idx_m++) {
#pragma GCC unroll TN
for (uint32_t res_idx_n = 0; res_idx_n < TN; res_idx_n++) {
// NOTE use of local_b_row
reg_c[TN * res_idx_m + res_idx_n] +=
reg_a[res_idx_m] * reg_b[res_idx_n];
// reg_c[TN * res_idx_m + res_idx_n] +=
// local_a[BK * (TM * local_c_row + res_idx_m) + local_k] *
// local_b[BN * local_k + (TN * local_c_col + res_idx_n)];
}
}
}
threadblock_barrier(tid_in_threadblock, threadblock_id_in_cluster,
threadblock_dim_y);
}
// Store result data from RF to GMEM
#pragma GCC unroll TM
for (uint32_t res_idx_m = 0; res_idx_m < TM; res_idx_m++) {
#pragma GCC unroll TN
for (uint32_t res_idx_n = 0; res_idx_n < TN; res_idx_n++) {
C[dim_n * (BM * threadblock_id_y + TM * local_c_row + res_idx_m) +
(BN * threadblock_id_x + TN * local_c_col + res_idx_n)] =
reg_c[TN * res_idx_m + res_idx_n];
}
}
}
void kernel_body(int task_id, kernel_arg_t *__UNIFORM__ arg) {
// @perf: All threads are running these compute whose result is mostly same
// across the threadblock
const uint32_t threads_per_threadblock = (BM * BN) / (TM * TN);
#ifdef RADIANCE
const uint32_t threadblocks_per_core = vx_num_threads() * vx_num_warps() /
threads_per_threadblock *
CORES_PER_CLUSTER;
#else
const uint32_t threadblocks_per_core =
vx_num_threads() * vx_num_warps() / threads_per_threadblock;
#endif
const uint32_t threadblock_dim_x = vx_num_threads();
const uint32_t threadblock_dim_y = vx_num_warps() / threadblocks_per_core;
const int threadblock_id = task_id / threads_per_threadblock;
const int threadblock_id_in_cluster = threadblock_id % threadblocks_per_core;
const int tid_in_threadblock = task_id % threads_per_threadblock;
const uint32_t dim_m = arg->dim_m;
const uint32_t dim_n = arg->dim_n;
const uint32_t dim_n_in_blocks = dim_n / BN;
const int threadblock_id_x = threadblock_id % dim_n_in_blocks;
const int threadblock_id_y = threadblock_id / dim_n_in_blocks;
// "static" shared memory allocation. This would determine threadblock
// occupancy of a single cluster
float *sharedmem_per_threadblock =
(float *)DEV_SMEM_START_ADDR + (2 * BM * BK) * threadblock_id_in_cluster;
thread_block_gemm(arg, tid_in_threadblock, threadblock_dim_x,
threadblock_dim_y, threadblock_id_x, threadblock_id_y,
threadblock_id_in_cluster, sharedmem_per_threadblock);
}
int main() {
kernel_arg_t *arg = (kernel_arg_t *)KERNEL_ARG_DEV_MEM_ADDR;
const uint32_t grid_size = arg->dim_m * arg->dim_n / (TM * TN);
#ifdef RADIANCE
vx_spawn_tasks_cluster(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
#else
// NOTE: This kernel assumes contiguous thread scheduling for efficient shared
// memory allocation, and therefore does not work with original vx_spawn_tasks
vx_spawn_tasks_contiguous(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
#endif
return 0;
}

292
tests/regression/sgemm_wg/main.cpp Normal file
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@@ -0,0 +1,292 @@
#include <iostream>
#include <fstream>
#include <unistd.h>
#include <string.h>
#include <vortex.h>
#include <vector>
#include "common.h"
#define RT_CHECK(_expr) \
do { \
int _ret = _expr; \
if (0 == _ret) \
break; \
printf("Error: '%s' returned %d!\n", #_expr, (int)_ret); \
cleanup(); \
exit(-1); \
} while (false)
///////////////////////////////////////////////////////////////////////////////
const char* kernel_file = "kernel.bin";
uint32_t count = 0;
std::vector<float> src_a_data;
std::vector<float> src_b_data;
std::vector<float> ref_data;
vx_device_h device = nullptr;
std::vector<uint8_t> staging_buf;
kernel_arg_t kernel_arg = {};
static void show_usage() {
std::cout << "Vortex Test." << std::endl;
std::cout << "Usage: [-k: kernel] [-n words] [-h: help]" << std::endl;
}
static void parse_args(int argc, char **argv) {
int c;
while ((c = getopt(argc, argv, "n:k:h?")) != -1) {
switch (c) {
case 'n':
count = atoi(optarg);
break;
case 'k':
kernel_file = optarg;
break;
case 'h':
case '?': {
show_usage();
exit(0);
} break;
default:
show_usage();
exit(-1);
}
}
}
void cleanup() {
if (device) {
// vx_mem_free(device, kernel_arg.addr_a);
// vx_mem_free(device, kernel_arg.addr_b);
// vx_mem_free(device, kernel_arg.addr_c);
vx_dev_close(device);
}
}
void generate_source_matrix(uint32_t dim_m, uint32_t dim_n, uint32_t dim_k) {
src_a_data.resize(dim_m * dim_k);
src_b_data.resize(dim_k * dim_n);
for (uint32_t i = 0; i < src_a_data.size(); ++i) {
src_a_data[i] = static_cast<float>(i);
std::cout << "A: " << i << ": value=" << src_a_data[i] << std::endl;
}
for (uint32_t i = 0; i < src_b_data.size(); ++i) {
src_b_data[i] = static_cast<float>(i);
std::cout << "B: " << i << ": value=" << src_b_data[i] << std::endl;
}
}
void generate_reference_matmul(uint32_t dim_m, uint32_t dim_n, uint32_t dim_k) {
ref_data.resize(dim_m * dim_n);
for (uint32_t i = 0; i < dim_m; ++i) {
for (uint32_t j = 0; j < dim_n; ++j) {
float ref = 0.0f;
for (uint32_t k = 0; k < dim_k; ++k) {
ref += src_a_data[dim_k * i + k] * src_b_data[dim_n * k + j];
}
ref_data.at(dim_n * i + j) = ref;
}
}
}
int run_test(const kernel_arg_t& kernel_arg,
uint32_t buf_size,
uint32_t dim_m, uint32_t dim_n) {
// start device
std::cout << "start device" << std::endl;
RT_CHECK(vx_start(device));
// wait for completion
std::cout << "wait for completion" << std::endl;
RT_CHECK(vx_ready_wait(device, VX_MAX_TIMEOUT));
// download destination buffer
std::cout << "download destination buffer" << std::endl;
RT_CHECK(vx_copy_from_dev(device, staging_buf.data(), kernel_arg.addr_c, buf_size));
std::cout << "downloading result C matrix from device, device mem address="
<< std::hex << kernel_arg.addr_c << ", size=" << std::dec
<< buf_size << " bytes\n";
std::ofstream file("output.c.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open output.c.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(staging_buf.data()), buf_size);
file.close();
std::ofstream ref_file("reference.c.bin", std::ios::binary | std::ios::out);
if (!ref_file) {
std::cerr << "error: failed to open reference.c.bin for writing\n";
exit(EXIT_FAILURE);
}
ref_file.write(reinterpret_cast<char *>(ref_data.data()), buf_size);
ref_file.close();
// verify result
std::cout << "verify result" << std::endl;
{
int errors = 0;
auto buf_ptr = (float*)staging_buf.data();
for (uint32_t i = 0; i < dim_m * dim_n; ++i) {
float ref = ref_data.at(i);
float cur = buf_ptr[i];
if (std::abs((cur - ref) / ref) > 1e-6) {
std::cout << "error at result #" << std::dec << i
<< std::hex << ": actual=" << cur << ", expected=" << ref << std::endl;
++errors;
}
}
if (errors != 0) {
std::cout << "Found " << std::dec << errors << " errors!" << std::endl;
std::cout << "FAILED!" << std::endl;
return 1;
}
}
return 0;
}
int main(int argc, char *argv[]) {
// parse command arguments
parse_args(argc, argv);
if (count == 0) {
count = 1;
}
std::srand(50);
// open device connection
std::cout << "open device connection" << std::endl;
RT_CHECK(vx_dev_open(&device));
// FIXME: hardcoded
uint32_t dim_m = 128;
uint32_t dim_n = 128;
uint32_t dim_k = 128;
generate_source_matrix(dim_m, dim_n, dim_k);
generate_reference_matmul(dim_m, dim_n, dim_k);
uint32_t src_a_buf_size = src_a_data.size() * sizeof(src_a_data[0]);
uint32_t src_b_buf_size = src_b_data.size() * sizeof(src_b_data[0]);
uint32_t dst_buf_size = ref_data.size() * sizeof(src_a_data[0]);
std::cout << "buffer size: " << dst_buf_size << " bytes" << std::endl;
// upload program
std::cout << "upload program" << std::endl;
RT_CHECK(vx_upload_kernel_file(device, kernel_file));
// allocate device memory
std::cout << "allocate device memory" << std::endl;
// RT_CHECK(vx_mem_alloc(device, src_a_buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.addr_a));
// RT_CHECK(vx_mem_alloc(device, src_b_buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.addr_b));
// RT_CHECK(vx_mem_alloc(device, dst_buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.addr_c));
kernel_arg.addr_a = 0x20000UL;
kernel_arg.addr_b = 0x28000UL;
kernel_arg.addr_c = 0xc0000000UL;
kernel_arg.dim_m = dim_m;
kernel_arg.dim_n = dim_n;
kernel_arg.dim_k = dim_k;
std::cout << "dev_addr_a=0x" << std::hex << kernel_arg.addr_a << std::endl;
std::cout << "dev_addr_b=0x" << std::hex << kernel_arg.addr_b << std::endl;
std::cout << "dev_addr_c=0x" << std::hex << kernel_arg.addr_c << std::endl;
// allocate staging buffer
{
std::cout << "allocate staging buffer" << std::endl;
uint32_t staging_buf_size = std::max<uint32_t>(
src_a_buf_size,
std::max<uint32_t>(
src_b_buf_size,
std::max<uint32_t>(dst_buf_size, sizeof(kernel_arg_t))));
staging_buf.resize(staging_buf_size);
}
// upload kernel argument
{
std::cout << "upload kernel argument" << std::endl;
auto buf_ptr = staging_buf.data();
memcpy(buf_ptr, &kernel_arg, sizeof(kernel_arg_t));
RT_CHECK(vx_copy_to_dev(device, KERNEL_ARG_DEV_MEM_ADDR, staging_buf.data(), sizeof(kernel_arg_t)));
std::cout << "uploading argument buffer to device, device mem address="
<< std::hex << KERNEL_ARG_DEV_MEM_ADDR << ", size=" << std::dec
<< sizeof(kernel_arg_t) << " bytes\n";
std::ofstream file("args.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open args.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(staging_buf.data()),
sizeof(kernel_arg_t));
file.close();
}
// upload source buffer
{
{
auto buf_ptr = staging_buf.data();
memcpy(buf_ptr, src_a_data.data(), src_a_data.size() * sizeof(float));
RT_CHECK(vx_copy_to_dev(device, kernel_arg.addr_a, staging_buf.data(),
src_a_buf_size));
std::cout << "uploading source A matrix to device, device mem address="
<< std::hex << kernel_arg.addr_a << ", size=" << std::dec
<< src_a_buf_size << " bytes\n";
std::ofstream file("input.a.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open input.a.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(buf_ptr), src_a_buf_size);
file.close();
}
{
auto buf_ptr = staging_buf.data();
memcpy(buf_ptr, src_b_data.data(), src_b_data.size() * sizeof(float));
RT_CHECK(vx_copy_to_dev(device, kernel_arg.addr_b, staging_buf.data(),
src_b_buf_size));
std::cout << "uploading source B matrix to device, device mem address="
<< std::hex << kernel_arg.addr_b << ", size=" << std::dec
<< src_b_buf_size << " bytes\n";
std::ofstream file("input.b.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open input.b.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(buf_ptr), src_b_buf_size);
file.close();
}
}
// clear destination buffer
{
std::cout << "clear destination buffer" << std::endl;
auto buf_ptr = (int32_t*)staging_buf.data();
for (uint32_t i = 0; i < ref_data.size(); ++i) {
buf_ptr[i] = 0xdeadbeef;
}
RT_CHECK(vx_copy_to_dev(device, kernel_arg.addr_c, staging_buf.data(), dst_buf_size));
}
// run tests
std::cout << "run tests" << std::endl;
RT_CHECK(run_test(kernel_arg, dst_buf_size, kernel_arg.dim_m, kernel_arg.dim_n));
std::cout << "PASSED!" << std::endl;
// cleanup
std::cout << "cleanup" << std::endl;
cleanup();
return 0;
}

2
tests/regression/vecaddx/common.h
View File

@@ -1,7 +1,7 @@
#ifndef _COMMON_H_
#define _COMMON_H_
#define KERNEL_ARG_DEV_MEM_ADDR 0x7ffff000
#define KERNEL_ARG_DEV_MEM_ADDR 0x7fff0000
#ifndef TYPE
#define TYPE float

4
tests/regression/vecaddx/kernel.cpp
View File

@@ -13,6 +13,10 @@ void kernel_body(int task_id, kernel_arg_t* __UNIFORM__ arg) {
int main() {
kernel_arg_t* arg = (kernel_arg_t*)KERNEL_ARG_DEV_MEM_ADDR;
#ifdef RADIANCE
vx_spawn_tasks_cluster(arg->num_points, (vx_spawn_tasks_cb)kernel_body, arg);
#else
vx_spawn_tasks(arg->num_points, (vx_spawn_tasks_cb)kernel_body, arg);
#endif
return 0;
}

45
tests/regression/vecaddx/main.cpp
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@@ -1,4 +1,5 @@
#include <iostream>
#include <fstream>
#include <unistd.h>
#include <string.h>
#include <vector>
@@ -106,9 +107,9 @@ static void parse_args(int argc, char **argv) {
void cleanup() {
if (device) {
vx_mem_free(device, kernel_arg.src0_addr);
vx_mem_free(device, kernel_arg.src1_addr);
vx_mem_free(device, kernel_arg.dst_addr);
// vx_mem_free(device, kernel_arg.src0_addr);
// vx_mem_free(device, kernel_arg.src1_addr);
// vx_mem_free(device, kernel_arg.dst_addr);
vx_dev_close(device);
}
}
@@ -181,9 +182,12 @@ int main(int argc, char *argv[]) {
// allocate device memory
std::cout << "allocate device memory" << std::endl;
RT_CHECK(vx_mem_alloc(device, buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.src0_addr));
RT_CHECK(vx_mem_alloc(device, buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.src1_addr));
RT_CHECK(vx_mem_alloc(device, buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.dst_addr));
// RT_CHECK(vx_mem_alloc(device, buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.src0_addr));
// RT_CHECK(vx_mem_alloc(device, buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.src1_addr));
// RT_CHECK(vx_mem_alloc(device, buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.dst_addr));
kernel_arg.src0_addr = 0x20000UL;
kernel_arg.src1_addr = 0x28000UL;
kernel_arg.dst_addr = 0xc0000000UL;
kernel_arg.num_points = num_points;
@@ -201,10 +205,19 @@ int main(int argc, char *argv[]) {
memcpy(staging_buf.data(), &kernel_arg, sizeof(kernel_arg_t));
RT_CHECK(vx_copy_to_dev(device, KERNEL_ARG_DEV_MEM_ADDR, staging_buf.data(), sizeof(kernel_arg_t)));
std::ofstream file("args.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open args.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(staging_buf.data()), sizeof(kernel_arg_t));
file.close();
// generate source data
source_data.resize(2 * num_points);
for (uint32_t i = 0; i < source_data.size(); ++i) {
source_data[i] = Comparator<TYPE>::generate();
// source_data[i] = Comparator<TYPE>::generate();
source_data[i] = static_cast<float>(i);
}
// upload source buffer0
@@ -215,6 +228,14 @@ int main(int argc, char *argv[]) {
buf_ptr[i] = source_data[2 * i + 0];
}
RT_CHECK(vx_copy_to_dev(device, kernel_arg.src0_addr, staging_buf.data(), buf_size));
std::ofstream file("input.a.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open input.a.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(buf_ptr), buf_size);
file.close();
}
// upload source buffer1
@@ -225,6 +246,14 @@ int main(int argc, char *argv[]) {
buf_ptr[i] = source_data[2 * i + 1];
}
RT_CHECK(vx_copy_to_dev(device, kernel_arg.src1_addr, staging_buf.data(), buf_size));
std::ofstream file("input.b.bin", std::ios::binary | std::ios::out);
if (!file) {
std::cerr << "error: failed to open input.b.bin for writing\n";
exit(EXIT_FAILURE);
}
file.write(reinterpret_cast<char *>(buf_ptr), buf_size);
file.close();
}
// clear destination buffer
@@ -243,4 +272,4 @@ int main(int argc, char *argv[]) {
std::cout << "PASSED!" << std::endl;
return 0;
}
}