| import subprocess | |
| import json | |
| import re | |
| import argparse | |
| from datetime import datetime, timedelta | |
| from pathlib import Path | |
| def sh(cmd): | |
| print(cmd) |
The TVM community has worked since the v0.8 release to deliver many exciting features and improvements. This is the first release with the new quarterly release schedule and includes highlights such as:
These RFCs have been merged in apache/tvm-rfcs since the last release.
| #!/usr/bin/env python3 | |
| import argparse | |
| import subprocess | |
| import textwrap | |
| import json | |
| import junitparser | |
| from pathlib import Path | |
| REPO_ROOT = Path(__file__).resolve().parent.parent.parent |
| #!/bin/bash | |
| set -euxo pipefail | |
| curl -L "$1" > main_report.xml | |
| curl -L "$2" > shard_report.xml | |
| python list_tests.py --no-details --file main_report.xml | sort > main.log | |
| python list_tests.py --no-details --file shard_report.xml | sort > shard.log | |
| git add main.log -f |
| runtime (s) | file | test | |
|---|---|---|---|
| 1044.31 | tests/python/frontend/tensorflow/test_forward.py | test_forward_broadcast_args | |
| 697.41 | tests/python/frontend/tensorflow/test_forward.py | test_forward_broadcast_to | |
| 624.77 | tests/python/frontend/tensorflow/test_forward.py | test_forward_ssd | |
| 567.74 | tests/python/frontend/tflite/test_forward.py | test_all_elemwise | |
| 433.44 | tests/python/topi/python/test_topi_upsampling.py | test_upsampling3d | |
| 329.4 | tests/python/topi/python/test_topi_conv2d_int8.py | test_conv2d_nchw | |
| 326.02 | tests/python/frontend/pytorch/test_object_detection.py | test_detection_models | |
| 282.74 | tests/python/frontend/tflite/test_forward.py | test_forward_transpose_conv | |
| 280.26 | tests/python/topi/python/test_topi_conv2d_hwnc_tensorcore.py | test_conv2d_hwnc_tensorcore |
| # download CI logs to a folder with this file and run | |
| # for i in (seq 10 10 100) (base) [ 12:30:34 ] | |
| # python slow_test_times.py $i | |
| # end | |
| import subprocess | |
| import sys | |
| from pathlib import Path | |
| p = Path(".").glob("*.ai") |
| import textwrap | |
| import importlib | |
| from types import ModuleType | |
| import tvm | |
| from pathlib import Path | |
| def has_init(p: Path) -> bool: | |
| return len(list(p.glob("__init__.py"))) == 1 |
| import re | |
| import sys | |
| import random | |
| content = open(sys.argv[1]).read() | |
| def gen_meow(word): | |
| chars_to_add = len(word) - len("meow") | |
| if chars_to_add <= 0: | |
| return "meow" |
| // run in the console | |
| const x = document.querySelector("iframe"); | |
| document.body.innerHTML = ""; | |
| document.body.appendChild(x); | |
| x.style.height = "100vh"; | |
| // then select the iframe #document in the element window and run | |
| $0.querySelector("#graphiql").style.height = "85vh"; |
| # The ideal usage is to create an index of all the files | |
| # from the current dir for describing in some .md file: | |
| # find . | grep -v .git | python nested_list_to_md_bullets.py | |
| import sys | |
| import argparse | |
| import pprint | |
| parser = argparse.ArgumentParser(description='') | |
| parser.add_argument('--file', default='-') |