dma and demo kernels
This commit is contained in:
6
tests/regression/rickroll/.gitignore
vendored
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6
tests/regression/rickroll/.gitignore
vendored
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@@ -0,0 +1,6 @@
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*.bin
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*.dump
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*.elf
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sgemm_wg
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.depend
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kernel.radiance.elf
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9
tests/regression/rickroll/Makefile
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9
tests/regression/rickroll/Makefile
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@@ -0,0 +1,9 @@
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PROJECT = rickroll
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SRCS = main.cpp common.h
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VX_SRCS = kernel.cpp
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OPTS ?= -n16
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include ../common.mk
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18
tests/regression/rickroll/common.h
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18
tests/regression/rickroll/common.h
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#ifndef _COMMON_H_
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#define _COMMON_H_
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#include <cstdint>
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#define KERNEL_ARG_DEV_MEM_ADDR 0x7fff0000
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#define DEV_SMEM_START_ADDR 0xff000000
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typedef struct {
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uint32_t dim_m;
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uint32_t dim_n;
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uint32_t dim_k;
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uint64_t addr_a;
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uint64_t addr_b;
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uint64_t addr_c;
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} kernel_arg_t;
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#endif
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128
tests/regression/rickroll/display_color.py
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128
tests/regression/rickroll/display_color.py
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@@ -0,0 +1,128 @@
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import time
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import os
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import struct
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from PIL import Image
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from io import BytesIO
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import subprocess
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import numpy as np
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import base64
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import cv2
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use_fpga = False
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buffer_width = 16
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# buffer_depth = 0x152
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# frame_width = 240
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# frame_height = 180
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# upscale = 6
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buffer_depth = 1800
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frame_width = 160
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frame_height = 120
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upscale = 1
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buffer_size = int(buffer_depth * buffer_width * 1.5)
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truncate = 0 # 300 if use_fpga else 0
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def follow(filename):
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frame_count = 0
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with open(filename, "r") as file:
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while True:
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current_position = file.tell()
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line = file.readline()
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if not line:
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time.sleep(0.001)
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continue
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if "fb0" in line and len(line) < (61 if use_fpga else 41):
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file.seek(current_position)
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time.sleep(0.001)
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continue
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if truncate and (" 0151 " in line):
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frame_count += 1
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if frame_count == truncate:
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with open(filename, "w") as f:
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f.truncate(0)
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frame_count = 0
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yield line
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def process_frame(frame_data):
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bits = np.unpackbits(np.frombuffer(frame_data, dtype=np.uint8))
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bits = bits[:frame_width * frame_height]
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image_array = bits.reshape((frame_height, frame_width))
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# image_array = np.flipud(np.fliplr(image_array))
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image_array = (image_array * 255).astype(np.uint8)
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raw_array = np.frombuffer(frame_data, dtype=np.uint8)
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y_size = frame_width * frame_height
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c_size = y_size // 4
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y_array = raw_array[:y_size].reshape((frame_height, frame_width))
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cr_array, cb_array = raw_array[y_size : y_size + c_size].reshape((frame_height // 2, frame_width // 2)), raw_array[y_size + c_size : y_size + 2 * c_size].reshape((frame_height // 2, frame_width // 2))
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cb_upscaled = cv2.resize(cb_array, (frame_width, frame_height), interpolation=cv2.INTER_LINEAR)
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cr_upscaled = cv2.resize(cr_array, (frame_width, frame_height), interpolation=cv2.INTER_LINEAR)
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# Merge the channels back to YCrCb format
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ycrcb_frame = cv2.merge((y_array, cb_upscaled, cr_upscaled))
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bgr_frame = cv2.cvtColor(ycrcb_frame, cv2.COLOR_YCrCb2BGR)
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is_success, buffer = cv2.imencode(".png", bgr_frame)
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io_buf = BytesIO(buffer)
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# filtered_image_array = image_array
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# filtered_image_array = cv2.fastNlMeansDenoising(image_array, None, h=72, templateWindowSize=8, searchWindowSize=8)
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# filtered_image_array = cv2.GaussianBlur(image_array, (3, 3), 0)
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# filtered_image_array = cv2.blur(image_array, (2, 2))
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# filtered_image_array = cv2.fastNlMeansDenoising(filtered_image_array, None, h=72, templateWindowSize=4, searchWindowSize=4)
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# filtered_image_array = np.kron(filtered_image_array, np.ones((upscale, upscale), dtype=np.uint8))
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# image = Image.fromarray(filtered_image_array, mode='L')
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return io_buf
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def display_image(img):
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# img = img.resize((frame_width * upscale, frame_height * upscale), Image.NEAREST)
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# img.save(output, format='PNG')
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output = img
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output.seek(0)
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# subprocess.run(["/home/eecs/yrh/.iterm2/imgcat"], input=output.read())
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image_data = output.getvalue()
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b64_image_data = base64.b64encode(image_data).decode('utf-8')
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print("\033]", end='')
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print(f"1337;File=inline=1", end='')
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print(f";size={len(image_data)}", end='')
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print(f";name={base64.b64encode('tmp.png'.encode()).decode('utf-8')}", end='')
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# print(f";width={frame_width * upscale * 4};height={frame_height * upscale * 4}", end='')
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print(f":{b64_image_data}", end='')
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print("\a", end='')
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print('\n')
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def main():
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if not use_fpga:
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filename = "/scratch/yrh/chipyard/sims/vcs/output/chipyard.harness.TestHarness.RadianceClusterConfig/kernel.radiance.out"
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else:
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filename = "/scratch/yrh/firesim-rundir/sim_slot_0/synthesized-prints.out0"
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# frame_data = {}
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frame_data0 = bytearray(buffer_size)
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for line in follow(filename):
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if not "fb0" in line:
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continue
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tokens = line.split()
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if not len(tokens) == (5 if use_fpga else 3):
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continue
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offset, data = tokens[3 if use_fpga else 1:]
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offset0 = int(offset, 16)
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frame_data0[offset0 * buffer_width : (offset0 + 1) * buffer_width] = bytes.fromhex(data)[::-1]
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if offset0 == buffer_depth - 1:
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img = process_frame(frame_data0)
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display_image(img)
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frame_data0 = bytearray(buffer_size)
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if __name__ == "__main__":
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main()
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92
tests/regression/rickroll/kernel.cpp
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92
tests/regression/rickroll/kernel.cpp
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@@ -0,0 +1,92 @@
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#include <stdint.h>
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#include <vx_intrinsics.h>
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#include <vx_print.h>
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#include <vx_spawn.h>
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#include "common.h"
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#define rd_cycles(x) asm volatile ("csrr %0, mcycle" : "=r" (x))
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#define HW_TID() ({uint32_t gtid; asm volatile ("csrr %0, mhartid" : "=r" (gtid)); gtid;})
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#define PRINTF(...) sprintf((char *) (0xff010000UL), __VA_ARGS__)
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inline void threadblock_barrier(unsigned int barrier_id, unsigned int count) {
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vx_fence();
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vx_barrier(barrier_id, count);
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}
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void kernel_body(int task_id, kernel_arg_t *__UNIFORM__ arg) {
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vx_tmc(0xff);
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const volatile uint32_t *const A = (const volatile uint32_t *const) arg->addr_a;
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#define WORKERS 128
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// #define WORDS 1350
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// #define LINES 338
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// #define ITERS 11 // = 1350 / 128
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#define WORDS 7200
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#define LINES 1800
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#define T_ITERS 57
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#define mark_fb0() \
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vx_tmc(0x80); if (task_id == 127) *(((volatile uint32_t *) 0xff011000UL)) = LINES; \
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vx_fence(); vx_barrier(0, 8); vx_tmc(0xff)
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#define mark_fb1() \
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vx_tmc(0x80); if (task_id == 127) *(((volatile uint32_t *) 0xff011004UL)) = LINES; \
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vx_fence(); vx_barrier(1, 8); vx_tmc(0xff)
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#define write_fb0(addr, value) *(((volatile uint32_t *) 0xff018000UL) + addr) = (value)
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#define write_fb1(addr, value) *(((volatile uint32_t *) 0xff020000UL) + addr) = (value)
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#define CYCLES_TO_WAIT 240000
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uint64_t cycles0, cycles1;
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cycles0 = 0;
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while (true) {
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volatile uint32_t v0, v1;
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for (int i = 0; i < 5301; i += 1) {
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v0 = A[i * WORDS + task_id];
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v1 = A[i * WORDS + WORKERS + task_id];
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int offset0 = 0 * WORKERS + task_id;
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int offset1 = 1 * WORKERS + task_id;
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for (int j = 1; j < T_ITERS; j += 2) {
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write_fb0(offset0, v0);
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offset0 += 2 * WORKERS;
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v0 = A[(i + 0) * WORDS + offset0];
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write_fb0(offset1, v1);
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offset1 += 2 * WORKERS;
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v1 = A[(i + 0) * WORDS + offset1];
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}
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write_fb0(offset0, v0);
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write_fb0(offset1, v1);
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/*offset0 += 2 * WORKERS;
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v0 = A[(i + 0) * WORDS + offset0];
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write_fb0(offset0, v0);*/
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if (task_id == 0) {
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rd_cycles(cycles1);
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while (cycles1 - cycles0 < CYCLES_TO_WAIT) {
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rd_cycles(cycles1);
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}
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cycles0 = cycles1;
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}
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threadblock_barrier(0, 8);
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mark_fb0();
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}
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}
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}
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int main() {
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kernel_arg_t *arg = (kernel_arg_t *)KERNEL_ARG_DEV_MEM_ADDR;
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#ifdef RADIANCE
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vx_spawn_tasks_cluster(128, (vx_spawn_tasks_cb)kernel_body, arg);
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#else
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// NOTE: This kernel assumes contiguous thread scheduling for efficient shared
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// memory allocation, and therefore does not work with original vx_spawn_tasks
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vx_spawn_tasks_contiguous(8, (vx_spawn_tasks_cb)kernel_body, arg);
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#endif
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return 0;
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}
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274
tests/regression/rickroll/main.cpp
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274
tests/regression/rickroll/main.cpp
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@@ -0,0 +1,274 @@
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#include <iostream>
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#include <fstream>
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#include <unistd.h>
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#include <string.h>
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#include <vortex.h>
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#include <vector>
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#include "common.h"
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#define RT_CHECK(_expr) \
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do { \
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int _ret = _expr; \
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if (0 == _ret) \
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break; \
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printf("Error: '%s' returned %d!\n", #_expr, (int)_ret); \
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cleanup(); \
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exit(-1); \
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} while (false)
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///////////////////////////////////////////////////////////////////////////////
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const char* kernel_file = "kernel.bin";
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uint32_t count = 0;
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std::vector<float> src_a_data;
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std::vector<float> src_b_data;
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std::vector<float> ref_data;
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vx_device_h device = nullptr;
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std::vector<uint8_t> staging_buf;
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kernel_arg_t kernel_arg = {};
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static void show_usage() {
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std::cout << "Vortex Test." << std::endl;
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std::cout << "Usage: [-k: kernel] [-n words] [-h: help]" << std::endl;
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}
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static void parse_args(int argc, char **argv) {
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int c;
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while ((c = getopt(argc, argv, "n:k:h?")) != -1) {
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switch (c) {
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case 'n':
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count = atoi(optarg);
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break;
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case 'k':
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kernel_file = optarg;
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break;
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case 'h':
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case '?': {
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show_usage();
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exit(0);
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} break;
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default:
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show_usage();
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exit(-1);
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}
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}
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}
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void cleanup() {
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if (device) {
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vx_mem_free(device, kernel_arg.addr_a);
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vx_mem_free(device, kernel_arg.addr_b);
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vx_mem_free(device, kernel_arg.addr_c);
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vx_dev_close(device);
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}
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}
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void generate_source_matrix(uint32_t dim_m, uint32_t dim_n, uint32_t dim_k) {
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src_a_data.resize(dim_m * dim_k);
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src_b_data.resize(dim_k * dim_n);
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for (uint32_t i = 0; i < src_a_data.size(); ++i) {
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src_a_data[i] = static_cast<float>(i);
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std::cout << "A: " << i << ": value=" << src_a_data[i] << std::endl;
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}
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for (uint32_t i = 0; i < src_b_data.size(); ++i) {
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src_b_data[i] = static_cast<float>(i);
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std::cout << "B: " << i << ": value=" << src_b_data[i] << std::endl;
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}
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}
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void generate_reference_matmul(uint32_t dim_m, uint32_t dim_n, uint32_t dim_k) {
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ref_data.resize(dim_m * dim_n);
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for (uint32_t i = 0; i < dim_m; ++i) {
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for (uint32_t j = 0; j < dim_n; ++j) {
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float ref = 0.0f;
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for (uint32_t k = 0; k < dim_k; ++k) {
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ref += src_a_data[dim_k * i + k] * src_b_data[dim_n * k + j];
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}
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ref_data.at(dim_n * i + j) = ref;
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}
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}
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}
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int run_test(const kernel_arg_t& kernel_arg,
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uint32_t buf_size,
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uint32_t dim_m, uint32_t dim_n) {
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// start device
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std::cout << "start device" << std::endl;
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RT_CHECK(vx_start(device));
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// wait for completion
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std::cout << "wait for completion" << std::endl;
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RT_CHECK(vx_ready_wait(device, VX_MAX_TIMEOUT));
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// download destination buffer
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std::cout << "download destination buffer" << std::endl;
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RT_CHECK(vx_copy_from_dev(device, staging_buf.data(), kernel_arg.addr_c, buf_size));
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// verify result
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std::cout << "verify result" << std::endl;
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{
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int errors = 0;
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auto buf_ptr = (float*)staging_buf.data();
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for (uint32_t i = 0; i < dim_m * dim_n; ++i) {
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float ref = ref_data.at(i);
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float cur = buf_ptr[i];
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if (std::abs((cur - ref) / ref) > 1e-6) {
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std::cout << "error at result #" << std::dec << i
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<< std::hex << ": actual=" << cur << ", expected=" << ref << std::endl;
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++errors;
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}
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}
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if (errors != 0) {
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std::cout << "Found " << std::dec << errors << " errors!" << std::endl;
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std::cout << "FAILED!" << std::endl;
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return 1;
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}
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}
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return 0;
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}
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int main(int argc, char *argv[]) {
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// parse command arguments
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parse_args(argc, argv);
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if (count == 0) {
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count = 1;
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}
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std::srand(50);
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// open device connection
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std::cout << "open device connection" << std::endl;
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RT_CHECK(vx_dev_open(&device));
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// FIXME: hardcoded
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uint32_t dim_m = 64;
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uint32_t dim_n = 64;
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uint32_t dim_k = 64;
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generate_source_matrix(dim_m, dim_n, dim_k);
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generate_reference_matmul(dim_m, dim_n, dim_k);
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uint32_t src_a_buf_size = src_a_data.size() * sizeof(src_a_data[0]);
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uint32_t src_b_buf_size = src_b_data.size() * sizeof(src_b_data[0]);
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uint32_t dst_buf_size = ref_data.size() * sizeof(src_a_data[0]);
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std::cout << "buffer size: " << dst_buf_size << " bytes" << std::endl;
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// upload program
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std::cout << "upload program" << std::endl;
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RT_CHECK(vx_upload_kernel_file(device, kernel_file));
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||||
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// allocate device memory
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std::cout << "allocate device memory" << std::endl;
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RT_CHECK(vx_mem_alloc(device, src_a_buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.addr_a));
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||||
RT_CHECK(vx_mem_alloc(device, src_b_buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.addr_b));
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||||
RT_CHECK(vx_mem_alloc(device, dst_buf_size, VX_MEM_TYPE_GLOBAL, &kernel_arg.addr_c));
|
||||
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||||
kernel_arg.dim_m = dim_m;
|
||||
kernel_arg.dim_n = dim_n;
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||||
kernel_arg.dim_k = dim_k;
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||||
|
||||
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/rickroll/rickroll
Executable file
BIN
tests/regression/rickroll/rickroll
Executable file
Binary file not shown.
Reference in New Issue
Block a user