bleh still not work

tests/kernel/tensor/Makefile

@@ -0,0 +1,8 @@
+PROJECT = tensor
+
+SRCS = main.cpp
+DEPS = a_matrix.h
+DEPS += b_matrix.h
+DEPS += c_matrix.h
+
+include ../common.mk

tests/kernel/tensor/check_correctness.py

@@ -0,0 +1,94 @@
+import numpy as np
+import struct
+
+A_array = np.zeros((16, 8))
+B_array = np.zeros((8, 16))
+C_array = np.zeros((16, 16))
+
+file = input("simulator output filename: ")
+
+def hex2float(float_hex_str):
+    # print(float_hex_str.strip())
+    return struct.unpack(">f",struct.pack(">i",int(float_hex_str,16)))[0]
+
+def C_index(threadgroup, thread, register):
+    """
+    col = ((tg % 4) / 2) * 8;
+	row = (tg * 8) % 16;
+	row += (tg / 4) * 4;
+
+	asm volatile ("flw f16, %0" :: "m"(C[row+0][col+0])); 
+	asm volatile ("flw f17, %0" :: "m"(C[row+0][col+1])); 
+	asm volatile ("flw f18, %0" :: "m"(C[row+2][col+0])); 
+	asm volatile ("flw f19, %0" :: "m"(C[row+2][col+1])); 
+	asm volatile ("flw f20, %0" :: "m"(C[row+0][col+4])); 
+	asm volatile ("flw f21, %0" :: "m"(C[row+0][col+5])); 
+	asm volatile ("flw f22, %0" :: "m"(C[row+2][col+4])); 
+	asm volatile ("flw f23, %0" :: "m"(C[row+2][col+5])); 
+    """
+
+    col = ((threadgroup % 4) // 2) * 8
+    row = (threadgroup * 8) % 16
+    row += (threadgroup // 4) * 4
+    offsets = [(0, 0), (0, 1), (2, 0), (2, 1), (0, 4), (0, 5), (2, 4), (2, 5)]
+    offset = offsets[register-16]
+    row += offset[0]
+    col += offset[1]
+    thread_offsets = [(0, 0), (1, 0), (0, 2), (1, 2)]
+    thread_offset = thread_offsets[thread % 4]
+    row += thread_offset[0]
+    col += thread_offset[1]
+    if C_array[row, col] != 0:
+        print("bad")
+    return (row, col)
+
+
+with open(file) as f:
+    for line in f.readlines():
+        line = line.strip()
+        if "warp" in line:
+            a, b, c = line.split(',')
+            _, a = a.split(' ')
+            _, b = b.strip().split(' ')
+            c, d = c.strip().split(':')
+            _, c = c.split(' ')
+            warp = int(a)
+            thread = int(b)
+            register = int(c)
+            value = d.strip()
+
+            if warp != 0:
+                continue
+            if not (32 <= register < 32+24):
+                continue
+
+            register = register - 32
+            
+            # threadgroups 0, 4, 1, 5 have all elements of A
+            threadgroup = thread // 4
+            if threadgroup in [0, 4, 1, 5]:
+                row = [0, 4, 1, 5].index(threadgroup) * 4 + thread % 4
+                if 0 <= register < 8:
+                    A_array[row, register] = hex2float(value)
+            
+            if threadgroup in [0, 4, 2, 6]:
+                col = [0, 4, 2, 6].index(threadgroup) * 4 + thread % 4
+                if 8 <= register < 16:
+                    B_array[register-8, col] = hex2float(value)
+
+            if 16 <= register < 24:
+                # print(value)
+                C_array[C_index(threadgroup, thread, register)] = hex2float(value) 
+            
+
+expected = np.load("abc.npz")
+expected_A = expected['A_array']
+expected_B = expected['B_array']
+expected_C = expected['C_array']
+expected_C = expected_C + expected_A @ expected_B
+
+print(expected_C - C_array)
+
+assert np.allclose(expected_A, A_array)
+assert np.allclose(expected_B, B_array)
+assert np.allclose(expected_C, C_array)

tests/kernel/tensor/create_test_case.py

@@ -0,0 +1,29 @@
+import numpy as np
+# A_array = np.random.rand(16, 8)
+# B_array = np.random.rand(8, 16)
+A_array = np.zeros((16, 8))
+B_array = np.zeros((8, 16))
+A_array[0,:] = 1.0
+B_array[:,0] = 1.0
+C_array = np.random.rand(16, 16)
+
+
+with open('a_matrix.h', 'w') as f:
+    for i in range(A_array.shape[0]):
+        for j in range(A_array.shape[1]):
+            f.write(f'{A_array[i,j]}f, ')
+        f.write('\n')
+
+with open('b_matrix.h', 'w') as f:
+    for i in range(B_array.shape[0]):
+        for j in range(B_array.shape[1]):
+            f.write(f'{B_array[i,j]}f, ')
+        f.write('\n')
+
+with open('c_matrix.h', 'w') as f:
+    for i in range(C_array.shape[0]):
+        for j in range(C_array.shape[1]):
+            f.write(f'{C_array[i,j]}f, ')
+        f.write('\n')
+
+np.savez("abc", A_array=A_array, B_array=B_array, C_array=C_array)

tests/kernel/tensor/main.cpp

@@ -0,0 +1,96 @@
+#define RISCV_CUSTOM3   0x7B
+
+#include <vx_intrinsics.h>
+#include <stdio.h>
+#include <vx_print.h>
+
+inline void vx_wmma() {
+	asm volatile (".insn r %0, 0, 0, x0, x0, x0" :: "i"(RISCV_CUSTOM3));
+}
+
+#include "test_data.h"
+
+void vx_wmma_load() {
+	int tid = vx_thread_id();
+	int tg = tid / 4;
+
+	// load A
+	int row = tid % 4;
+	row += (tg * 8) % 16;
+	row += (tg / 4) * 4;
+
+	asm volatile ("flw f0, %0" :: "m"(A[row][0])); 
+	asm volatile ("flw f1, %0" :: "m"(A[row][1])); 
+	asm volatile ("flw f2, %0" :: "m"(A[row][2])); 
+	asm volatile ("flw f3, %0" :: "m"(A[row][3])); 
+	asm volatile ("flw f4, %0" :: "m"(A[row][4])); 
+	asm volatile ("flw f5, %0" :: "m"(A[row][5])); 
+	asm volatile ("flw f6, %0" :: "m"(A[row][6])); 
+	asm volatile ("flw f7, %0" :: "m"(A[row][7])); 
+
+	// load B
+	int col = tid % 4;
+	col += ((tg % 4) / 2) * 8;
+	col += (tg / 4) * 4;
+
+	asm volatile ("flw f8 , %0" :: "m"(B[0][col])); 
+	asm volatile ("flw f9 , %0" :: "m"(B[1][col])); 
+	asm volatile ("flw f10, %0" :: "m"(B[2][col])); 
+	asm volatile ("flw f11, %0" :: "m"(B[3][col])); 
+	asm volatile ("flw f12, %0" :: "m"(B[4][col])); 
+	asm volatile ("flw f13, %0" :: "m"(B[5][col])); 
+	asm volatile ("flw f14, %0" :: "m"(B[6][col])); 
+	asm volatile ("flw f15, %0" :: "m"(B[7][col])); 
+
+	// load C
+	col = ((tg % 4) / 2) * 8;
+	row = (tg * 8) % 16;
+	row += (tg / 4) * 4;
+
+	row += (tid % 4) % 2;
+    col += ((tid % 4) / 2) * 2;
+
+	asm volatile ("flw f16, %0" :: "m"(C[row+0][col+0])); 
+	asm volatile ("flw f17, %0" :: "m"(C[row+0][col+1])); 
+	asm volatile ("flw f18, %0" :: "m"(C[row+2][col+0])); 
+	asm volatile ("flw f19, %0" :: "m"(C[row+2][col+1])); 
+	asm volatile ("flw f20, %0" :: "m"(C[row+0][col+4])); 
+	asm volatile ("flw f21, %0" :: "m"(C[row+0][col+5])); 
+	asm volatile ("flw f22, %0" :: "m"(C[row+2][col+4])); 
+	asm volatile ("flw f23, %0" :: "m"(C[row+2][col+5])); 
+}
+
+float results[32*8];
+
+void store_wmma_result() {
+	int tid = vx_thread_id();
+	
+	asm volatile ("fsw f16, %0" :: "m"(results[tid*8+0])); 
+	asm volatile ("fsw f17, %0" :: "m"(results[tid*8+1])); 
+	asm volatile ("fsw f18, %0" :: "m"(results[tid*8+2])); 
+	asm volatile ("fsw f19, %0" :: "m"(results[tid*8+3])); 
+	asm volatile ("fsw f20, %0" :: "m"(results[tid*8+4])); 
+	asm volatile ("fsw f21, %0" :: "m"(results[tid*8+5])); 
+	asm volatile ("fsw f22, %0" :: "m"(results[tid*8+6])); 
+	asm volatile ("fsw f23, %0" :: "m"(results[tid*8+7])); 
+}
+
+void print_wmma_result() {
+	for (int tid = 0; tid < 32; tid += 1) {
+		for (int reg = 0; reg < 8; reg += 1) {
+			vx_printf("thread %d, f%d: %x\n", tid, 16+reg, *((int*) &results[tid*8+reg]));
+		}
+	}
+}
+
+int main()
+{
+	vx_tmc(-1);
+	vx_wmma_load();
+	vx_wmma();
+	store_wmma_result();
+	vx_tmc(1);
+	print_wmma_result();
+	
+	return 0;
+}

tests/kernel/tensor/test_data.h

@@ -0,0 +1,11 @@
+float A[16][8] = {
+    #include "a_matrix.h"
+};
+
+float B[8][16] = {
+    #include "b_matrix.h"
+};
+
+float C[16][16] = {
+    #include "c_matrix.h"
+};