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copy_formatted.py
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copy_formatted.py
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import shutil
import glob
import os
import json
import sys
## copy_formatted, take
# test = "bcsstm26"
# test = "qiulp"
# test = "bcsstm26"
# test = "adder_dcop_30"
# test = "n4c6-b1"
# app_name = "mat_residual"
# app_name = "matmul_ijk"
# app_name = "matmul_ijk"
# app_name = "mat_mattransmul"
# app_name = "mat_vecmul_ij"
# app_name = "mat_elemadd"
app_name = sys.argv[1]
test = sys.argv[2]
# app_name = "mat_vecmul_ij"
# app_name = "mat_elemadd3"
# app_name = "mat_elemmul"
const_val = 2 # only for mat_mattransmul
mode_ns = False
tiles_accumulation = {}
b_tensors = glob.glob(f"/aha/garnet/tiles_{app_name}_{test}/{app_name}/formatted/tensor_B*")
c_tensors = glob.glob(f"/aha/garnet/tiles_{app_name}_{test}/{app_name}/formatted/tensor_C*")
d_tensors = glob.glob(f"/aha/garnet/tiles_{app_name}_{test}/{app_name}/formatted/tensor_D*")
e_tensors = glob.glob(f"/aha/garnet/tiles_{app_name}_{test}/{app_name}/formatted/tensor_E*")
b_ns_tensors = glob.glob(f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_B_mode_2*")
c_ns_tensors = glob.glob(f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_C_mode_2*")
print("b_tensors: ", b_tensors)
print("c_tensors: ", c_tensors)
print("d_tensors: ", d_tensors)
# b_tensors = glob.glob(f"/aha/garnet/tiles_{app_name}_{test}/formatted/tensor_B*")
# c_tensors = glob.glob(f"/aha/garnet/tiles_{app_name}_{test}/formatted/tensor_C*")
b_vec_tensors = glob.glob(f"/aha/garnet/tiles_{app_name}_{test}/{app_name}/formatted/tensor_b*")
c_vec_tensors = glob.glob(f"/aha/garnet/tiles_{app_name}_{test}/{app_name}/formatted/tensor_c*")
d_vec_tensors = glob.glob(f"/aha/garnet/tiles_{app_name}_{test}/{app_name}/formatted/tensor_d*")
f_vec_tensors = glob.glob(f"/aha/garnet/tiles_{app_name}_{test}/{app_name}/formatted/tensor_f*")
d_loc_paired = []
b_loc_paired = []
b_loc_seen = set()
c_loc_seen = set()
d_loc_seen = set()
exit_status = os.system(f"rm -rf /aha/garnet/SPARSE_TESTS/{app_name}*")
exit_status = os.system(f"rm -rf /aha/garnet/SPARSE_TESTS/{app_name}_crddrop*")
if os.WEXITSTATUS(exit_status) != 0:
raise RuntimeError(f"Command 'rm -rf /aha/garnet/SPARSE_TESTS/{app_name}*' returned non-zero exit status {os.WEXITSTATUS(exit_status)}.")
exit_status = os.system(f"rm -rf /aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/tile*")
if os.WEXITSTATUS(exit_status) != 0:
raise RuntimeError(f"Command 'rm -rf /aha/garnet/SPARSE_TESTS/{app_name}*' returned non-zero exit status {os.WEXITSTATUS(exit_status)}.")
tile = 0
def find_tensor(tensor_list, tile_id):
for temp in tensor_list:
temp_loc = temp.split("_")
index = temp_loc.index("tile")
temp_loc = temp_loc[index+1:]
# breakpoint()
if temp_loc == tile_id:
return temp
return None
#os.chdir("SPARSE_TESTS")
if "matmul_ijk" in app_name and mode_ns == False:
for b in b_tensors:
for c in c_tensors:
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
# b_loc = b[-7:]
# c_loc = c[-7:]
b_loc = b.split("_")
c_loc = c.split("_")
index = b_loc.index("tile")
b_loc = b_loc[index+1:]
index = c_loc.index("tile")
c_loc = c_loc[index+1:]
if(b_loc[1] == c_loc[0] and b_loc[3] == c_loc[2]):
print(b, c)
if b_loc[2] not in tiles_accumulation:
tiles_accumulation[b_loc[2]] = []
tiles_accumulation[b_loc[2]].append(tile_str)
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
shutil.copy(f"{b}/B0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_crd")
shutil.copy(f"{b}/B0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_seg")
shutil.copy(f"{b}/B1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_crd")
shutil.copy(f"{b}/B1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_seg")
shutil.copy(f"{b}/B_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_vals")
shutil.copy(f"{b}/B_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_shape")
shutil.copy(f"{c}/C0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
shutil.copy(f"{c}/C0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
shutil.copy(f"{c}/C1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
shutil.copy(f"{c}/C1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
shutil.copy(f"{c}/C_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
shutil.copy(f"{c}/C_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape")
tile = tile + 1
if app_name == "matmul_ikj" and mode_ns == False:
for b in b_tensors:
for c in c_tensors:
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
# b_loc = b[-7:]
# c_loc = c[-7:]
b_loc = b.split("_")
c_loc = c.split("_")
index = b_loc.index("tile")
b_loc = b_loc[index+1:]
index = c_loc.index("tile")
c_loc = c_loc[index+1:]
if(b_loc[1] == c_loc[0] and b_loc[3] == c_loc[2]):
print(b, c)
if b_loc[2] not in tiles_accumulation:
tiles_accumulation[b_loc[2]] = []
tiles_accumulation[b_loc[2]].append(tile_str)
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
shutil.copy(f"{b}/B0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_crd")
shutil.copy(f"{b}/B0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_seg")
shutil.copy(f"{b}/B1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_crd")
shutil.copy(f"{b}/B1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_seg")
shutil.copy(f"{b}/B_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_vals")
shutil.copy(f"{b}/B_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_shape")
shutil.copy(f"{c}/C0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
shutil.copy(f"{c}/C0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
shutil.copy(f"{c}/C1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
shutil.copy(f"{c}/C1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
shutil.copy(f"{c}/C_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
shutil.copy(f"{c}/C_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape")
tile = tile + 1
if "matmul_ijk" in app_name and mode_ns == True:
for b in b_ns_tensors:
for c in c_ns_tensors:
# mode 2 == mode 0, mode 3 == mode 1
if "seg" in b or "seg" in c:
continue
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
b_loc = b.split("_")
c_loc = c.split("_")
b_loc = b_loc[-2:]
c_loc = c_loc[-2:]
# breakpoint()
if(b_loc[1] == c_loc[1]):
tiles_accumulation[tile] = [b_loc, c_loc]
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
#only crds, copy mode 0
shutil.copy(f"{b}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_crd")
shutil.copy(f"{c}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
b_seg_id = f"seg_{b_loc[0]}_{b_loc[1]}"
c_seg_id = f"seg_{c_loc[0]}_{c_loc[1]}"
b_seg_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_B_mode_2_{b_seg_id}"
c_seg_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_C_mode_2_{c_seg_id}"
shutil.copy(f"{b_seg_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_seg")
shutil.copy(f"{c_seg_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
# mode 1
b_crd_id = f"crd_{b_loc[0]}_{b_loc[1]}"
c_crd_id = f"crd_{c_loc[0]}_{c_loc[1]}"
b_crd_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_B_mode_3_{b_crd_id}"
c_crd_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_C_mode_3_{c_crd_id}"
shutil.copy(f"{b_crd_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_crd")
shutil.copy(f"{c_crd_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
b_seg_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_B_mode_3_{b_seg_id}"
c_seg_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_C_mode_3_{c_seg_id}"
shutil.copy(f"{b_seg_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_seg")
shutil.copy(f"{c_seg_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
#vals
b_vals_id = f"vals_{b_loc[0]}_{b_loc[1]}"
c_vals_id = f"vals_{c_loc[0]}_{c_loc[1]}"
b_vals_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_B_{b_vals_id}"
c_vals_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_C_{c_vals_id}"
shutil.copy(f"{b_vals_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_vals")
shutil.copy(f"{c_vals_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
#shape
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_shape", "w") as f:
f.write("120\n30\n")
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape", "w") as f:
f.write("30\n120\n")
tile = tile + 1
if app_name == "matmul_ikj" and mode_ns == True:
for b in b_ns_tensors:
for c in c_ns_tensors:
# mode 2 == mode 0, mode 3 == mode 1
if "seg" in b or "seg" in c:
continue
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
b_loc = b.split("_")
c_loc = c.split("_")
b_loc = b_loc[-2:]
c_loc = c_loc[-2:]
# breakpoint()
if(b_loc[1] == c_loc[1]):
tiles_accumulation[tile] = [b_loc, c_loc]
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
#only crds, copy mode 0
shutil.copy(f"{b}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_crd")
shutil.copy(f"{c}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
b_seg_id = f"seg_{b_loc[0]}_{b_loc[1]}"
c_seg_id = f"seg_{c_loc[0]}_{c_loc[1]}"
b_seg_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_B_mode_2_{b_seg_id}"
c_seg_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_C_mode_2_{c_seg_id}"
shutil.copy(f"{b_seg_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_seg")
shutil.copy(f"{c_seg_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
# mode 1
b_crd_id = f"crd_{b_loc[0]}_{b_loc[1]}"
c_crd_id = f"crd_{c_loc[0]}_{c_loc[1]}"
b_crd_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_B_mode_3_{b_crd_id}"
c_crd_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_C_mode_3_{c_crd_id}"
shutil.copy(f"{b_crd_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_crd")
shutil.copy(f"{c_crd_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
b_seg_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_B_mode_3_{b_seg_id}"
c_seg_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_C_mode_3_{c_seg_id}"
shutil.copy(f"{b_seg_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_seg")
shutil.copy(f"{c_seg_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
#vals
b_vals_id = f"vals_{b_loc[0]}_{b_loc[1]}"
c_vals_id = f"vals_{c_loc[0]}_{c_loc[1]}"
b_vals_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_B_{b_vals_id}"
c_vals_file = f"/aha/garnet/tiles_{app_name}_{test}_ns/tensor_C_{c_vals_id}"
shutil.copy(f"{b_vals_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_vals")
shutil.copy(f"{c_vals_file}", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
#shape
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_shape", "w") as f:
f.write("120\n30\n")
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape", "w") as f:
f.write("30\n120\n")
tile = tile + 1
elif app_name == "mat_elemadd" or app_name == "mat_elemmul":
for b in b_tensors:
for c in c_tensors:
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
# b_loc = b[-7:]
# c_loc = c[-7:]
# b_loc = b_loc.split("_")
# c_loc = c_loc.split("_")
b_loc = b.split("_")
c_loc = c.split("_")
index = b_loc.index("tile")
b_loc = b_loc[index+1:]
index = c_loc.index("tile")
c_loc = c_loc[index+1:]
if(b_loc == c_loc):
print(b, c)
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
shutil.copy(f"{b}/B0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_crd")
shutil.copy(f"{b}/B0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_seg")
shutil.copy(f"{b}/B1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_crd")
shutil.copy(f"{b}/B1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_seg")
shutil.copy(f"{b}/B_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_vals")
shutil.copy(f"{b}/B_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_shape")
shutil.copy(f"{c}/C0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
shutil.copy(f"{c}/C0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
shutil.copy(f"{c}/C1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
shutil.copy(f"{c}/C1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
shutil.copy(f"{c}/C_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
shutil.copy(f"{c}/C_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape")
# subprocess.call(["aha",
# "regress",
# "fast"],
# text=True)
# shutil.copy("/aha/garnet//aha/garnet/SPARSE_TESTS/GLB_DIR/matmul_ijk_combined_seed_tile1/output_gold.npy", "/aha/garnet//aha/garnet/SPARSE_TESTS/GLB_DIR/matmul_ijk_combined_seed_tile1/bin")
# shutil.copytree("/aha/garnet//aha/garnet/SPARSE_TESTS/GLB_DIR/matmul_ijk_combined_seed_tile1/bin", f"/aha/garnet//aha/garnet/SPARSE_TESTS/{tile_str}")
tile = tile + 1
# print("we are on tile ", tile)
elif app_name == "mat_mattransmul":
for b in b_tensors:
for c in c_vec_tensors:
for d in d_vec_tensors:
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
b_loc = b[-7:]
c_loc = c[-3:]
d_loc = d[-3:]
b_loc = b_loc.split("_")
c_loc = c_loc.split("_")
d_loc = d_loc.split("_")
if(b_loc[1] == c_loc[0] and b_loc[3] == c_loc[1] and b_loc[0] == d_loc[0] and b_loc[2] == d_loc[1]):
# if(b_loc[1] == d_loc[0] and b_loc[3] == d_loc[1] and b_loc[0] == c_loc[0] and b_loc[2] == c_loc[1]):
d_loc_paired.append(d_loc)
print(f"\n ----- TILE {tile} ----- \n")
print("B is: ", b) #in build_tb, B == C, c == d, d == f. (#FIXME: change build_tb)
print("C is: ", c)
print("d is: ", d)
print(f"\n ----- TILE {tile} ----- \n")
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
shutil.copy(f"{b}/B0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
shutil.copy(f"{b}/B0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
shutil.copy(f"{b}/B1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
shutil.copy(f"{b}/B1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
shutil.copy(f"{b}/B_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
shutil.copy(f"{b}/B_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape")
shutil.copy(f"{c}/c1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_1_crd")
shutil.copy(f"{c}/c1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_1_seg")
shutil.copy(f"{c}/c0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_0_crd")
shutil.copy(f"{c}/c0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_0_seg")
shutil.copy(f"{d}/d1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_1_crd")
shutil.copy(f"{d}/d1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_1_seg")
shutil.copy(f"{d}/d0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_0_crd")
shutil.copy(f"{d}/d0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_0_seg")
shutil.copy(f"{c}/c_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_vals")
shutil.copy(f"{c}/c_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_shape")
shutil.copy(f"{d}/d_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_vals")
shutil.copy(f"{d}/d_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_shape")
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_vals", 'w') as file:
file.write(str(const_val))
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_e_mode_vals", 'w') as file:
file.write(str(const_val))
tile = tile + 1
elif d_loc not in d_loc_paired:
# case: B and c tiles are zero but d is nonzero. We have all d tiles. Just take a B and c tile, copy it and make it zero.'
d_loc_paired.append(d_loc)
print(f"\n ----- TILE D-unpaired {tile} ----- \n")
print("B (zero tile) is: ", b) #in build_tb, B == C, c == d, d == f. (#FIXME: change build_tb)
print("C (zero tile) is: ", c)
print("d is: ", d)
print(f"\n ----- TILE D-unpaired {tile} ----- \n")
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
shutil.copy(f"{b}/B0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
shutil.copy(f"{b}/B0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
shutil.copy(f"{b}/B1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
shutil.copy(f"{b}/B1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
shutil.copy(f"{b}/B_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
# clear out C vals
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals", 'r+') as file:
contents = file.read()
contents = contents.replace(contents, str(0))
file.seek(0)
file.write(contents)
shutil.copy(f"{b}/B_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape")
shutil.copy(f"{c}/c1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_1_crd")
shutil.copy(f"{c}/c1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_1_seg")
shutil.copy(f"{c}/c0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_0_crd")
shutil.copy(f"{c}/c0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_0_seg")
shutil.copy(f"{d}/d1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_1_crd")
shutil.copy(f"{d}/d1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_1_seg")
shutil.copy(f"{d}/d0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_0_crd")
shutil.copy(f"{d}/d0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_0_seg")
shutil.copy(f"{c}/c_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_vals")
# clear out d vals
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_vals", 'r+') as file:
contents = file.read()
contents = contents.replace(contents, str(0))
file.seek(0)
file.write(contents)
shutil.copy(f"{c}/c_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_shape")
shutil.copy(f"{d}/d_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_vals")
shutil.copy(f"{d}/d_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_shape")
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_vals", 'w') as file:
file.write(str(const_val))
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_e_mode_vals", 'w') as file:
file.write(str(const_val))
tile = tile + 1
print("d_loc_paired: ", d_loc_paired)
elif app_name == "mat_vecmul_ij":
for b in b_tensors:
for c in c_vec_tensors:
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
# b_loc = b[-7:]
# c_loc = c[-3:]
# b_loc = b_loc.split("_")
# c_loc = c_loc.split("_")
b_loc = b.split("_")
c_loc = c.split("_")
index = b_loc.index("tile")
b_loc = b_loc[index+1:]
index = c_loc.index("tile")
c_loc = c_loc[index+1:]
# if(b_loc[1] == c_loc[0] and b_loc[3] == c_loc[1] and b_loc[0] == d_loc[0] and b_loc[2] == d_loc[1]):
if(b_loc[1] == c_loc[0] and b_loc[3] == c_loc[1]):
print(b,c)
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
shutil.copy(f"{b}/B0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_crd")
shutil.copy(f"{b}/B0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_seg")
shutil.copy(f"{b}/B1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_crd")
shutil.copy(f"{b}/B1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_seg")
shutil.copy(f"{b}/B_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_vals")
shutil.copy(f"{b}/B_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_shape")
# shutil.copy(f"{c}/c1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_c_mode_1_crd")
# shutil.copy(f"{c}/c1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_c_mode_1_seg")
shutil.copy(f"{c}/c1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_c_mode_0_crd")
shutil.copy(f"{c}/c1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_c_mode_0_seg")
shutil.copy(f"{c}/c_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_c_mode_vals")
shutil.copy(f"{c}/c_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_c_mode_shape")
tile = tile + 1
elif app_name == "mat_residual":
for b in b_vec_tensors:
for c in c_tensors:
for d in d_vec_tensors:
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
b_loc = b[-3:]
c_loc = c[-7:]
d_loc = d[-3:]
b_loc = b_loc.split("_")
c_loc = c_loc.split("_")
d_loc = d_loc.split("_")
# if(b_loc[1] == c_loc[0] and b_loc[3] == c_loc[1] and b_loc[0] == d_loc[0] and b_loc[2] == d_loc[1]):
if(c_loc[0] == b_loc[0] and c_loc[2] == b_loc[1] and c_loc[1] == d_loc[0] and c_loc[3] == d_loc[1]):
print(b, c, d)
b_loc_paired.append(b_loc)
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
shutil.copy(f"{c}/C0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
shutil.copy(f"{c}/C0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
shutil.copy(f"{c}/C1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
shutil.copy(f"{c}/C1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
shutil.copy(f"{c}/C_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
shutil.copy(f"{c}/C_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape")
shutil.copy(f"{b}/b1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_1_crd")
shutil.copy(f"{b}/b1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_1_seg")
shutil.copy(f"{b}/b0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_0_crd")
shutil.copy(f"{b}/b0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_0_seg")
shutil.copy(f"{d}/d1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_1_crd")
shutil.copy(f"{d}/d1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_1_seg")
shutil.copy(f"{d}/d0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_0_crd")
shutil.copy(f"{d}/d0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_0_seg")
shutil.copy(f"{b}/b_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_vals")
shutil.copy(f"{b}/b_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_shape")
shutil.copy(f"{d}/d_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_vals")
shutil.copy(f"{d}/d_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_shape")
tile = tile + 1
elif b_loc not in b_loc_paired:
b_loc_paired.append(b_loc)
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
shutil.copy(f"{c}/C0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
shutil.copy(f"{c}/C0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
shutil.copy(f"{c}/C1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
shutil.copy(f"{c}/C1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
shutil.copy(f"{c}/C_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
# clear out C vals
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals", 'r+') as file:
contents = file.read()
contents = contents.replace(contents, str(0))
file.seek(0)
file.write(contents)
shutil.copy(f"{c}/C_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape")
shutil.copy(f"{b}/b1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_1_crd")
shutil.copy(f"{b}/b1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_1_seg")
shutil.copy(f"{b}/b0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_0_crd")
shutil.copy(f"{b}/b0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_0_seg")
shutil.copy(f"{d}/d1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_1_crd")
shutil.copy(f"{d}/d1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_1_seg")
shutil.copy(f"{d}/d0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_0_crd")
shutil.copy(f"{d}/d0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_0_seg")
shutil.copy(f"{b}/b_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_vals")
shutil.copy(f"{b}/b_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_b_mode_shape")
shutil.copy(f"{d}/d_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_vals")
shutil.copy(f"{d}/d_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_shape")
# clear out d vals
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_d_mode_vals", 'r+') as file:
contents = file.read()
contents = contents.replace(contents, str(0))
file.seek(0)
file.write(contents)
tile = tile + 1
elif app_name == "mat_mask_tri":
for b in b_tensors:
for c in c_tensors:
# b_loc = b[-7:]
# c_loc = c[-7:]
b_loc = b.split("_")
c_loc = c.split("_")
index = b_loc.index("tile")
b_loc = b_loc[index+1:]
index = c_loc.index("tile")
c_loc = c_loc[index+1:]
if not (b_loc[0] == c_loc[0] and b_loc[2] == c_loc[2]):
continue
for d in d_tensors:
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
d_loc = d.split("_")
index = d_loc.index("tile")
d_loc = d_loc[index+1:]
if(c_loc[1] == d_loc[0] and c_loc[3] == d_loc[2] and b_loc[1] == d_loc[1] and b_loc[3] == d_loc[3] and b_loc[0] == c_loc[0] and b_loc[2] == c_loc[2]):
print(b, c, d)
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
shutil.copy(f"{b}/B0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_crd")
shutil.copy(f"{b}/B0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_seg")
shutil.copy(f"{b}/B1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_crd")
shutil.copy(f"{b}/B1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_seg")
shutil.copy(f"{b}/B_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_vals")
shutil.copy(f"{b}/B_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_shape")
shutil.copy(f"{c}/C0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
shutil.copy(f"{c}/C0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
shutil.copy(f"{c}/C1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
shutil.copy(f"{c}/C1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
shutil.copy(f"{c}/C_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
shutil.copy(f"{c}/C_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape")
shutil.copy(f"{d}/D0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_1_crd")
shutil.copy(f"{d}/D0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_1_seg")
shutil.copy(f"{d}/D1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_0_crd")
shutil.copy(f"{d}/D1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_0_seg")
shutil.copy(f"{d}/D_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_vals")
shutil.copy(f"{d}/D_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_shape")
# subprocess.call(["aha",
# "regress",
# "fast"],
# text=True)
# shutil.copy("/aha/garnet//aha/garnet/SPARSE_TESTS/GLB_DIR/matmul_ijk_combined_seed_tile1/output_gold.npy", "/aha/garnet//aha/garnet/SPARSE_TESTS/GLB_DIR/matmul_ijk_combined_seed_tile1/bin")
# shutil.copytree("/aha/garnet//aha/garnet/SPARSE_TESTS/GLB_DIR/matmul_ijk_combined_seed_tile1/bin", f"/aha/garnet//aha/garnet/SPARSE_TESTS/{tile_str}")
tile = tile + 1
elif app_name == "mat_vecmul_iter":
for b in b_tensors:
for c in c_tensors:
# b_loc = b[-7:]
# c_loc = c[-7:]
b_loc = b.split("_")
c_loc = c.split("_")
index = b_loc.index("tile")
b_loc = b_loc[index+1:]
index = c_loc.index("tile")
c_loc = c_loc[index+1:]
# check j coord
if not (b_loc[1] == c_loc[0] and b_loc[3] == c_loc[2]):
continue
for d in d_tensors:
d_loc = d.split("_")
index = d_loc.index("tile")
d_loc = d_loc[index+1:]
# check k coord
if not (c_loc[1] == d_loc[0] and c_loc[3] == d_loc[2]):
continue
for e in e_tensors:
e_loc = e.split("_")
index = e_loc.index("tile")
e_loc = e_loc[index+1:]
# check l coord
if not (d_loc[1] == e_loc[0] and d_loc[3] == e_loc[2]):
continue
for f in f_vec_tensors:
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
f_loc = f.split("_")
index = f_loc.index("tile")
f_loc = f_loc[index+1:]
# check m coord
if (d_loc[1] == e_loc[0] and d_loc[3] == e_loc[2] and c_loc[1] == d_loc[0] and c_loc[3] == d_loc[2] and b_loc[1] == c_loc[0] and b_loc[3] == c_loc[2] and e_loc[1] == f_loc[0] and e_loc[3] == f_loc[1]):
print(b, c, d, e, f)
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
shutil.copy(f"{b}/B0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_crd")
shutil.copy(f"{b}/B0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_seg")
shutil.copy(f"{b}/B1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_crd")
shutil.copy(f"{b}/B1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_seg")
shutil.copy(f"{b}/B_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_vals")
shutil.copy(f"{b}/B_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_shape")
shutil.copy(f"{c}/C0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
shutil.copy(f"{c}/C0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
shutil.copy(f"{c}/C1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
shutil.copy(f"{c}/C1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
shutil.copy(f"{c}/C_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
shutil.copy(f"{c}/C_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape")
shutil.copy(f"{d}/D0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_0_crd")
shutil.copy(f"{d}/D0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_0_seg")
shutil.copy(f"{d}/D1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_1_crd")
shutil.copy(f"{d}/D1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_1_seg")
shutil.copy(f"{d}/D_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_vals")
shutil.copy(f"{d}/D_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_shape")
shutil.copy(f"{e}/E0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_E_mode_0_crd")
shutil.copy(f"{e}/E0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_E_mode_0_seg")
shutil.copy(f"{e}/E1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_E_mode_1_crd")
shutil.copy(f"{e}/E1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_E_mode_1_seg")
shutil.copy(f"{e}/E_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_E_mode_vals")
shutil.copy(f"{e}/E_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_E_mode_shape")
shutil.copy(f"{f}/f1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_0_crd")
shutil.copy(f"{f}/f1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_0_seg")
shutil.copy(f"{f}/f_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_vals")
shutil.copy(f"{f}/f_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_f_mode_shape")
tile = tile + 1
elif app_name == "mat_sddmm":
for b in b_tensors:
for c in c_tensors:
for d in d_tensors:
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
b_loc = b[-7:]
c_loc = c[-7:]
d_loc = d[-7:]
b_loc = b_loc.split("_")
c_loc = c_loc.split("_")
d_loc = d_loc.split("_")
# first j, then i (k is a free coordinate)
# if(b_loc[0] == d_loc[1] and b_loc[2] == d_loc[3] and b_loc[1] == c_loc[0] and b_loc[3] == c_loc[2]):
#matmul rule for C and D, elemmul rule for B and CD
if(c_loc[1] == d_loc[1] and c_loc[3] == d_loc[3] and b_loc[0] == c_loc[0] and b_loc[2] == c_loc[2] and b_loc[1] == d_loc[0] and b_loc[3] == d_loc[2]):
print(b, c, d)
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
shutil.copy(f"{b}/B0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_crd")
shutil.copy(f"{b}/B0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_seg")
shutil.copy(f"{b}/B1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_crd")
shutil.copy(f"{b}/B1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_seg")
shutil.copy(f"{b}/B_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_vals")
shutil.copy(f"{b}/B_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_shape")
shutil.copy(f"{c}/C0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
shutil.copy(f"{c}/C0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
shutil.copy(f"{c}/C1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
shutil.copy(f"{c}/C1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
shutil.copy(f"{c}/C_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
shutil.copy(f"{c}/C_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape")
shutil.copy(f"{d}/D0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_1_crd")
shutil.copy(f"{d}/D0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_1_seg")
shutil.copy(f"{d}/D1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_0_crd")
shutil.copy(f"{d}/D1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_0_seg")
shutil.copy(f"{d}/D_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_vals")
shutil.copy(f"{d}/D_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_shape")
tile = tile + 1
elif app_name == "mat_elemadd3":
for b in b_tensors:
for c in c_tensors:
b_loc = b.split("_")
c_loc = c.split("_")
index = b_loc.index("tile")
b_loc = b_loc[index+1:]
index = c_loc.index("tile")
c_loc = c_loc[index+1:]
b_loc_seen.add(tuple(b_loc))
c_loc_seen.add(tuple(c_loc))
if (b_loc != c_loc):
continue
for d in d_tensors:
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
d_loc = d.split("_")
index = d_loc.index("tile")
d_loc = d_loc[index+1:]
d_loc_seen.add(tuple(d_loc))
if(b_loc == c_loc and b_loc == d_loc):
print(b, c, d)
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
shutil.copy(f"{b}/B0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_crd")
shutil.copy(f"{b}/B0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_seg")
shutil.copy(f"{b}/B1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_crd")
shutil.copy(f"{b}/B1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_seg")
shutil.copy(f"{b}/B_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_vals")
shutil.copy(f"{b}/B_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_shape")
shutil.copy(f"{c}/C0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
shutil.copy(f"{c}/C0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
shutil.copy(f"{c}/C1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
shutil.copy(f"{c}/C1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
shutil.copy(f"{c}/C_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
shutil.copy(f"{c}/C_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape")
shutil.copy(f"{d}/D0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_0_crd")
shutil.copy(f"{d}/D0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_0_seg")
shutil.copy(f"{d}/D1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_1_crd")
shutil.copy(f"{d}/D1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_1_seg")
shutil.copy(f"{d}/D_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_vals")
shutil.copy(f"{d}/D_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_shape")
# subprocess.call(["aha",
# "regress",
# "fast"],
# text=True)
# shutil.copy("/aha/garnet//aha/garnet/SPARSE_TESTS/GLB_DIR/matmul_ijk_combined_seed_tile1/output_gold.npy", "/aha/garnet//aha/garnet/SPARSE_TESTS/GLB_DIR/matmul_ijk_combined_seed_tile1/bin")
# shutil.copytree("/aha/garnet//aha/garnet/SPARSE_TESTS/GLB_DIR/matmul_ijk_combined_seed_tile1/bin", f"/aha/garnet//aha/garnet/SPARSE_TESTS/{tile_str}")
tile = tile + 1
# print("we are on tile ", tile)
print("tiles_accumulation: ", tiles_accumulation)
with open("../tiles_accumulation.json", "w") as file:
json.dump(tiles_accumulation, file)
if app_name == "mat_elemadd3":
shared_BC_not_D = (b_loc_seen & c_loc_seen) - d_loc_seen
shared_BD_not_C = (b_loc_seen & d_loc_seen) - c_loc_seen
shared_CD_not_B = (c_loc_seen & d_loc_seen) - b_loc_seen
print("shared BC not D: ", shared_BC_not_D)
print("shared BD not C: ", shared_BD_not_C)
print("shared CD not B: ", shared_CD_not_B)
for tile_id in shared_BD_not_C:
b = find_tensor(b_tensors, list(tile_id))
if b == None:
raise Exception
d = find_tensor(d_tensors, list(tile_id))
if d == None:
raise Exception
# go to tile file in MAT_TMP_DIR. create empty D
tile_str = str(app_name) + "-" + str(test) + "_tile" + str(tile)
if not os.path.exists(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}"):
os.mkdir(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}")
c = c_tensors[0]
shutil.copy(f"{b}/B0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_crd")
shutil.copy(f"{b}/B0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_0_seg")
shutil.copy(f"{b}/B1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_crd")
shutil.copy(f"{b}/B1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_1_seg")
shutil.copy(f"{b}/B_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_vals")
shutil.copy(f"{b}/B_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_B_mode_shape")
shutil.copy(f"{c}/C0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_crd")
shutil.copy(f"{c}/C0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_0_seg")
shutil.copy(f"{c}/C1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_crd")
shutil.copy(f"{c}/C1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_1_seg")
shutil.copy(f"{c}/C_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals")
shutil.copy(f"{c}/C_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_shape")
shutil.copy(f"{d}/D0_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_0_crd")
shutil.copy(f"{d}/D0_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_0_seg")
shutil.copy(f"{d}/D1_crd.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_1_crd")
shutil.copy(f"{d}/D1_seg.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_1_seg")
shutil.copy(f"{d}/D_vals.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_vals")
shutil.copy(f"{d}/D_shape.txt", f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_D_mode_shape")
#write ones to vals
lines = []
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals", 'r') as file:
lines = file.readlines()
with open(f"/aha/garnet/SPARSE_TESTS/MAT_TMP_DIR/{tile_str}/tensor_C_mode_vals", 'w') as file:
file.writelines(['0\n']*len(lines))
tile = tile+1
for tile_id in shared_CD_not_B:
c = find_tensor(c_tensors, list(tile_id))
if c == None:
raise Exception
d = find_tensor(d_tensors, list(tile_id))