Tianqi Chen
ffea531107
## Summary Lifts 10 host-toolchain / CLI / process / utility modules from `python/tvm/contrib/` to a new `python/tvm/support/` package, and deletes two dead contrib shims. `tvm.support` is the home for Python helpers that integrate TVM with external CLIs and host-side tools — compilers, archivers, subprocess pools, and build-info queries. These are load-bearing internal pieces that TVM's compile/link/run paths depend on. `tvm.contrib` is reserved for optional vendor SDK integrations and experimental features. The distinction is documented in the `tvm.support` package docstring. Moved (one commit each): - `tvm.contrib.cc` → `tvm.support.cc` - `tvm.contrib.nvcc` → `tvm.support.nvcc` - `tvm.contrib.rocm` → `tvm.support.rocm` - `tvm.contrib.ndk` → `tvm.support.ndk` - `tvm.contrib.xcode` → `tvm.support.xcode` - `tvm.contrib.clang` → `tvm.support.clang` - `tvm.contrib.emcc` → `tvm.support.emcc` - `tvm.contrib.popen_pool` → `tvm.support.popen_pool` - `tvm.contrib.utils` → `tvm.support.utils` - `tvm.contrib.tar` → `tvm.support.tar` Deleted: - `tvm.contrib.spirv` — single `optimize()` wrapping `spirv-opt`; zero importers. - `tvm.contrib.rpc` — self-deprecation shim with "removed in 0.5" banner; honoring it. Package conversion: - `python/tvm/support.py` → `python/tvm/support/__init__.py` with inclusion-rule docstring. - `libinfo()` extracted into `python/tvm/support/libinfo.py`. - `FrontendTestModule` dropped (audit confirmed zero callers outside its own definition). ## Compatibility Hard break — no `tvm.contrib.<mod>` re-export shims. All callers updated in this PR. C++-side FFI registry keys (`tvm.contrib.nvcc.*`, etc.) are unchanged — only the Python module path moves. Renaming the FFI keys is a separate follow-up.
72 lines
2.1 KiB
Python
72 lines
2.1 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# ruff: noqa: F401
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import ctypes
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import time
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import tvm
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from tvm import te
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from tvm.runtime.module import BenchmarkResult
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from tvm.support.utils import tempdir
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def test_min_repeat_ms():
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tmp = tempdir()
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filename = tmp.relpath("log")
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@tvm.register_global_func
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def my_debug(filename):
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"""one call lasts for 100 ms and writes one character to a file"""
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time.sleep(0.1)
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with open(filename, "a") as fout:
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fout.write("c")
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X = te.compute((), lambda: tvm.tirx.call_packed("my_debug", filename))
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func = tvm.tirx.build(te.create_prim_func([X]))
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x = tvm.runtime.empty((), dtype="int32")
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ftimer = func.time_evaluator(func.entry_name, tvm.cpu(), number=1, repeat=1)
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ftimer(x)
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with open(filename) as fin:
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ct = len(fin.readline())
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assert ct == 2
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ftimer = func.time_evaluator(func.entry_name, tvm.cpu(), number=1, repeat=1, min_repeat_ms=1000)
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ftimer(x)
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# make sure we get more than 10 calls
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with open(filename) as fin:
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ct = len(fin.readline())
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assert ct > 10 + 2
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def test_benchmark_result():
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r = BenchmarkResult([1, 2, 2, 5])
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assert r.mean == 2.5
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assert r.median == 2.0
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assert r.min == 1
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assert r.max == 5
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assert r.std == 1.5
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if __name__ == "__main__":
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test_min_repeat_ms()
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test_benchmark_result()
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