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fix link #110

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merged 2 commits into from
Jan 14, 2024
Merged

fix link #110

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41da283
fix link
kalhankoul96 Jan 14, 2024
dc39c76
fix link2
kalhankoul96 Jan 14, 2024
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15 changes: 8 additions & 7 deletions scripts/formatting/datastructure_tns.py
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Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@
taco_format_dirname = os.path.join(taco_format_dirname, "other-formatted-taco")
# elif args.tiles is not None:
# # FIXME: Change this to be 'tns' for frostt tensors
# outdir_name = os.path.join(args.tiles, args.bench, "mtx")
# outdir_name = os.path.join(args.tiles, args.bench, "mtx")
# taco_format_dirname = os.getenv('FROSTT_FORMATTED_TACO_PATH')
# if taco_format_dirname is None:
# print("Please set the FROSTT_FORMATTED_TACO_PATH environment variable")
Expand Down Expand Up @@ -117,14 +117,14 @@
for line in Lines:
shape[count] = int(line)
count += 1
# tensor =
# tensor =
# inputCache = InputCacheSuiteSparse()
# coo = inputCache.load(tensor, False)
tensorname = 'c'
# formatWriter.writeout_separate_sparse_only(coo, out_path, tensorname, format_str="ss10")
vec = scipy.sparse.random(shape[2], 1, density=args.density, data_rvs=np.ones)
vec = vec.toarray().flatten()
#need to uncomment if running without tiling**
# need to uncomment if running without tiling**
# formatWriter.writeout_separate_vec(vec, outdir_other_path, tensorname)

# vec = scipy.sparse.random(shape[2], 1, data_rvs=np.ones)
Expand All @@ -150,7 +150,7 @@
count += 1
# coo = inputCache.load(tensor, False)
print("SHAPE: ", shape)
if(min(shape) > 10):
if (min(shape) > 10):
dimension_k = random.randint(10, min(shape))
else:
dimension_k = random.randint(min(shape), 10)
Expand All @@ -159,7 +159,7 @@
# formatWriter.writeout_separate_sparse_only(coo, dirname, tensorname, format_str="ss10")
tensorname = 'C'
matrix = scipy.sparse.random(dimension_k, dimension_l, density=args.density, data_rvs=np.ones).toarray()
#NEED TO UNCOMMENT FOLLOWING LINE IF NOT RUNNING WITH TILING**
# NEED TO UNCOMMENT FOLLOWING LINE IF NOT RUNNING WITH TILING**
# formatWriter.writeout_separate_sparse_only(matrix, outdir_other_name, tensorname)

elif args.bench == "tensor3_mttkrp":
Expand Down Expand Up @@ -202,7 +202,7 @@
taco_format_orig_filename = os.getenv('FROSTT_FORMATTED_TACO_PATH') + "/" + args.name + "_" + levels + '.txt'
parse_taco_format(taco_format_orig_filename, outdir_orig_name, 'B', args.format, hw_filename=args.hw)

#COMMENTED OUT FOR TILING FLOW, WOULD NEED TO UNCOMMENT IF RUNNING WITHOUT TILING
# COMMENTED OUT FOR TILING FLOW, WOULD NEED TO UNCOMMENT IF RUNNING WITHOUT TILING
# # this code is used for: tensor3_elemadd, tensor3_innerprod
# taco_format_orig_filename = os.path.join(taco_format_dirname, args.name + "_" + levels + '.txt')
# taco_format_shift_filename = os.path.join(taco_format_dirname, args.name + '_shift_' + levels + '.txt')
Expand All @@ -216,6 +216,7 @@
# outdir_shift_name = os.path.join(outdir_name, args.name, args.bench, args.format)
# outdir_shift_path = Path(outdir_shift_name)
# outdir_shift_path.mkdir(parents=True, exist_ok=True)
# # taco_format_shift_filename = "/nobackup/jadivara/sam/FROST_FORMATTED_TACO/" + args.name + "_shift_" + levels + '.txt'
# taco_format_shift_filename =
# "/nobackup/jadivara/sam/FROST_FORMATTED_TACO/" + args.name + "_shift_" + levels + '.txt'
# taco_format_orig_filename = os.getenv('FROSTT_FORMATTED_TACO_PATH') + args.name + "_" + levels + '.txt'
# parse_taco_format(taco_format_shift_filename, outdir_shift_name, 'C', args.format, hw_filename=args.hw)