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adding opencl convolution benchmark

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This commit is contained in:
Blaise Tine
2023-11-14 22:31:30 -08:00
parent 4e7a536918
commit 61e3442ef8
16 changed files with 490 additions and 170 deletions
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46
tests/regression/demo/main.cpp
View File

@@ -19,16 +19,6 @@
///////////////////////////////////////////////////////////////////////////////
union Float_t {
float f;
int i;
struct {
uint32_t man : 23;
uint32_t exp : 8;
uint32_t sign : 1;
} parts;
};
template <typename Type>
class Comparator {};
@@ -38,22 +28,41 @@ public:
static const char* type_str() {
return "integer";
}
static bool compare(int a, int b) {
return a == b;
static int generate() {
return rand();
}
static bool compare(int a, int b, int index, int errors) {
if (a != b) {
if (errors < 100) {
printf("*** error: [%d] expected=%d, actual=%d\n", index, a, b);
}
return false;
}
return true;
}
};
template <>
class Comparator<float> {
private:
union Float_t { float f; int i; };
public:
static const char* type_str() {
return "float";
}
static bool compare(float a, float b) {
Float_t fa{a}, fb{b};
static int generate() {
return static_cast<float>(rand()) / RAND_MAX;
}
static bool compare(float a, float b, int index, int errors) {
union fi_t { float f; int32_t i; };
fi_t fa, fb;
fa.f = a;
fb.f = b;
auto d = std::abs(fa.i - fb.i);
if (d > FLOAT_ULP) {
std::cout << "*** almost_equal_ulp: a=" << a << ", b=" << b << ", ulp=" << d << ", ia=" << std::hex << fa.i << ", ib=" << fb.i << std::endl;
if (errors < 100) {
printf("*** error: [%d] expected=%f, actual=%f\n", index, a, b);
}
return false;
}
return true;
@@ -127,9 +136,7 @@ int run_test(const kernel_arg_t& kernel_arg,
for (uint32_t i = 0; i < num_points; ++i) {
auto ref = source_data[2 * i + 0] + source_data[2 * i + 1];
auto cur = buf_ptr[i];
if (!Comparator<TYPE>::compare(cur, ref)) {
std::cout << "error at result #" << std::dec << i
<< std::hex << ": actual 0x" << cur << ", expected 0x" << ref << std::endl;
if (!Comparator<TYPE>::compare(cur, ref, i, errors)) {
++errors;
}
}
@@ -196,8 +203,7 @@ int main(int argc, char *argv[]) {
// generate source data
source_data.resize(2 * num_points);
for (uint32_t i = 0; i < source_data.size(); ++i) {
auto r = static_cast<float>(std::rand()) / RAND_MAX;
source_data[i] = static_cast<TYPE>(r * 2 * num_points);
source_data[i] = Comparator<TYPE>::generate();
}
// upload source buffer0

2
tests/regression/tensor/Makefile
View File

@@ -4,6 +4,6 @@ SRCS = main.cpp
VX_SRCS = kernel.cpp
OPTS ?= -s16
OPTS ?= -n32
include ../common.mk

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

@@ -12,10 +12,10 @@ inline uint32_t log2_fast(uint32_t x) {
}
void kernel_body(uint32_t task_id, kernel_arg_t* __UNIFORM__ arg) {
auto size = arg->size;
auto A = reinterpret_cast<TYPE*>(arg->A_addr);
auto A = reinterpret_cast<TYPE*>(arg->A_addr);
auto B = reinterpret_cast<TYPE*>(arg->B_addr);
auto C = reinterpret_cast<TYPE*>(arg->C_addr);
auto size = arg->size;
uint32_t row, col;
if (is_log2(size)) {

53
tests/regression/tensor/main.cpp
View File

@@ -19,16 +19,6 @@
///////////////////////////////////////////////////////////////////////////////
union Float_t {
float f;
int i;
struct {
uint32_t man : 23;
uint32_t exp : 8;
uint32_t sign : 1;
} parts;
};
template <typename Type>
class Comparator {};
@@ -38,8 +28,17 @@ public:
static const char* type_str() {
return "integer";
}
static bool compare(int a, int b) {
return a == b;
static int generate() {
return rand();
}
static bool compare(int a, int b, int index, int errors) {
if (a != b) {
if (errors < 100) {
printf("*** error: [%d] expected=%d, actual=%d\n", index, a, b);
}
return false;
}
return true;
}
};
@@ -49,18 +48,26 @@ public:
static const char* type_str() {
return "float";
}
static bool compare(float a, float b) {
Float_t fa{a}, fb{b};
static int generate() {
return static_cast<float>(rand()) / RAND_MAX;
}
static bool compare(float a, float b, int index, int errors) {
union fi_t { float f; int32_t i; };
fi_t fa, fb;
fa.f = a;
fb.f = b;
auto d = std::abs(fa.i - fb.i);
if (d > FLOAT_ULP) {
std::cout << "*** almost_equal_ulp: a=" << a << ", b=" << b << ", ulp=" << d << ", ia=" << std::hex << fa.i << ", ib=" << fb.i << std::endl;
if (errors < 100) {
printf("*** error: [%d] expected=%f, actual=%f\n", index, a, b);
}
return false;
}
return true;
}
};
static void cpuMatrixMultiply(TYPE* out, const TYPE* A, const TYPE* B, uint32_t width, uint32_t height) {
static void matmul_cpu(TYPE* out, const TYPE* A, const TYPE* B, uint32_t width, uint32_t height) {
for (uint32_t row = 0; row < height; ++row) {
for (uint32_t col = 0; col < width; ++col) {
TYPE sum(0);
@@ -73,7 +80,7 @@ static void cpuMatrixMultiply(TYPE* out, const TYPE* A, const TYPE* B, uint32_t
}
const char* kernel_file = "kernel.bin";
uint32_t size = 16;
uint32_t size = 32;
vx_device_h device = nullptr;
std::vector<uint8_t> staging_buf;
@@ -81,14 +88,14 @@ kernel_arg_t kernel_arg = {};
static void show_usage() {
std::cout << "Vortex Test." << std::endl;
std::cout << "Usage: [-k: kernel] [-s size] [-h: help]" << std::endl;
std::cout << "Usage: [-k: kernel] [-n size] [-h: help]" << std::endl;
}
static void parse_args(int argc, char **argv) {
int c;
while ((c = getopt(argc, argv, "s:k:h?")) != -1) {
while ((c = getopt(argc, argv, "n:k:h?")) != -1) {
switch (c) {
case 's':
case 'n':
size = atoi(optarg);
break;
case 'k':
@@ -138,9 +145,7 @@ int run_test(const kernel_arg_t& kernel_arg,
for (uint32_t i = 0; i < refs.size(); ++i) {
auto ref = refs[i];
auto cur = buf_ptr[i];
if (!Comparator<TYPE>::compare(cur, ref)) {
std::cout << "error at result #" << std::dec << i
<< std::hex << ": actual 0x" << cur << ", expected 0x" << ref << std::endl;
if (!Comparator<TYPE>::compare(cur, ref, i, errors)) {
++errors;
}
}
@@ -208,7 +213,7 @@ int main(int argc, char *argv[]) {
src_A[i] = static_cast<TYPE>(a * size);
src_B[i] = static_cast<TYPE>(b * size);
}
cpuMatrixMultiply(refs.data(), src_A.data(), src_B.data(), size, size);
matmul_cpu(refs.data(), src_A.data(), src_B.data(), size, size);
// upload source buffer0
{