Files
TheRock/rocm-libraries/projects/rocsparse/scripts/performance/matrices/sparseMatrixGenerator.py
T
derek.holloway 7502bf64a4
CodeQL / Analyze (actions) (push) Canceled after 0s
CodeQL / Analyze (python) (push) Canceled after 0s
pre-commit / pre-commit (push) Canceled after 0s
Multi-Arch CI / setup (push) Canceled after 0s
Publish build_manylinux_x86_64 images / publish_build_manylinux_x86_64 (push) Canceled after 0s
Setup (Multi-Arch) / setup (push) Canceled after 0s
Multi-Arch CI / Linux::${{ fromJSON(needs.setup.outputs.linux_build_config || '{}').build_variant_label || 'skip' }} (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish no_rocm_image_ubi10 image / publish_no_rocm_image_ubi10 (push) Canceled after 0s
Multi-Arch CI / Windows::${{ fromJSON(needs.setup.outputs.windows_build_config || '{}').build_variant_label || 'skip' }} (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Multi-Arch CI / Manifest Diff (push) Canceled after 0s
TheRock Manifest Diff Report / Generate Manifest Diff Report (push) Canceled after 0s
Multi-Arch CI / CI Summary (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04 (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04_ocl_rt images / publish_no_rocm_image_ubuntu24_04_ocl_rt (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_rocgdb (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04_rocgdb images / publish_no_rocm_image_ubuntu24_04_rocgdb (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_ocl_rt (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Unit Tests / Unit Tests :: ubuntu-24.04 (push) Canceled after 0s
Unit Tests / Unit Tests :: windows-2022 (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_media (push) Canceled after 0s
Unit Tests / Unit Tests Summary (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_openmpi (push) Canceled after 0s
Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

91 lines
3.5 KiB
Python

# ########################################################################
# Copyright (C) 2025 Advanced Micro Devices, Inc. All rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
# ########################################################################
import numpy as np
import scipy.sparse as sp
from scipy.sparse import coo_matrix
from numpy.random import default_rng
from scipy.io import mmwrite
import subprocess
import os
import pathlib
rng = default_rng(42)
def samePatternPerRow(m, n, col_per_row):
row = np.repeat(np.arange(0, m), len(col_per_row))
col = np.tile(col_per_row, m)
data = np.ones((len(row),))
return coo_matrix((data, (row, col)), shape=(m, n))
def consecutiveCols(m, n, nnz_per_row, first_col):
if first_col + nnz_per_row >= n:
col_per_row = np.arange(n-nnz_per_row, n)
else:
col_per_row = np.arange(first_col, first_col+nnz_per_row)
return samePatternPerRow(m, n, col_per_row)
def sameRandomRow(m, n, nnz_per_row):
col_per_row = np.sort(rng.choice(n, size=nnz_per_row, replace=False))
return samePatternPerRow(m, n, col_per_row)
def sameNnzPerRow(m, n, nnz_per_row):
row = np.repeat(np.arange(0, m), nnz_per_row)
col = np.zeros((len(row),), dtype=int)
for i in range(0, m):
col[i*nnz_per_row:(i+1)*nnz_per_row] = np.sort(rng.choice(n, size=nnz_per_row, replace=False))
data = np.ones((len(row),))
return coo_matrix((data, (row, col)), shape=(m, n))
def fullyRandom(m, n, nnz):
oneDRand = np.sort(rng.choice(m*n, size=nnz, replace=False))
row = oneDRand/n
col = oneDRand%n
data = np.ones((nnz,))
return coo_matrix((data, (row, col)), shape=(m, n))
def writeToFile(filename, A):
mmwrite(filename, A, comment='\n Matrix generated with sparseMatrixGenerator.\n', precision=6)
def convert(filename, A, cleanFile=True):
current_work_dir = os.getcwd()
os.chdir(pathlib.Path(__file__).parent.resolve())
fileformat = ".mtx"
writeToFile(filename + fileformat, A)
subprocess.run("./convert "+ filename + fileformat + " " + filename + ".csr", shell=True, check=True)
if cleanFile:
os.remove(filename + fileformat)
else:
os.rename(str(pathlib.Path(__file__).parent.resolve()) + "/" + filename + fileformat, str(current_work_dir) + "/" + filename + fileformat)
os.rename(str(pathlib.Path(__file__).parent.resolve()) + "/" + filename + ".csr", str(current_work_dir) + "/" + filename + ".csr")
os.chdir(current_work_dir)