Tianqi Chen
bbfdab79d9
## Summary - Keep the Python test launcher close to plain `pytest -n auto`, move nightly tests under `tests/nightly/python`, remove obsolete launchers and collection bookkeeping, and partition CPU/GPU jobs with explicit `gpu` marker expressions. - Repair exact-pointer regressions at their owning boundaries: packed raw-string ABI values, CUDA/Metal matrix intrinsic pointers, internal TE extern offsets, MetaSchedule scalar annotations, localized auto-tensorization scope matching, and typed DLTensor fixture fields. - Preserve typed workspace calls in TIR and cast pointer-returning external calls in CodeGenC, covered by a plain-TIRx 1024-byte global workspace that is compiled as C++. - Finish phasing out value-bearing Relax `R.Prim` annotations by requiring an explicit dtype, removing obsolete value-based contracts, and expressing the DISCO rank-dependent slices as explicit scalar `call_tir` inputs. - Gate the distributed callback on the optional DISCO runtime, NCCL, and at least two GPUs so capability-limited jobs skip instead of failing. - Remove the non-demonstrating pointer probe, use direct TVMScript comparison for packed strings, and remove the four designated legacy testing modules. The seven repaired CPU categories cover packed raw strings (7 failures), CUDA/Metal matrix access-pointer types (7), internal TE extern offsets (1), a typed DLTensor fixture (1), MetaSchedule scalar annotations (1), CodeGenC workspace return casts (12), and localized auto-tensorization storage-scope matching (19). ## Validation - Base: `ded6ad8dd212869c881efb5590f8a33fc972728e` - Head: `a7277e86dbcfe0638c8c252d36760859c4ab4297` - All 35 locally available original failing node IDs pass across the focused runs. - The full focused TE, TIR builtin-lowering, and CodeGenC files pass: 61 tests. - The complete touched Relax/TVMScript set plus PlanAndUpdateBufferAllocationLocation passes with 784 passed, 20 skipped, and 1 expected failure. - The DISCO callback collects and skips when its runtime or two-GPU environment is unavailable. - Six direct mapping tests, twelve tensor-core sketches, and the dp4a sketch pass unchanged. - The compiler rebuild, branch-wide pre-commit hooks, and full-range whitespace checks pass. - The 13 broad CBLAS/TFLite nodes remain dependency-gated; their owning TE and generated-C regressions compile. No merge is included in this change.
57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
#!/usr/bin/env bash
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# 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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import logging
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import urllib.request
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LOGGER = None
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URL_MAP = {}
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class TvmRequestHook(urllib.request.Request):
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def __init__(self, url, *args, **kwargs):
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LOGGER.info(f"Caught access to {url}")
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url = url.strip()
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if url not in URL_MAP:
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# Disallow network accesses without an explicitly maintained mirror.
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msg = (
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f"Uncaught URL found in CI: {url}. "
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"Avoid network access or arrange a stable project-managed mirror, "
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"then add it to URL_MAP in tests/python/request_hook.py."
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)
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raise RuntimeError(msg)
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new_url = URL_MAP[url]
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LOGGER.info(f"Mapped URL {url} to {new_url}")
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super().__init__(new_url, *args, **kwargs)
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def init():
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global LOGGER
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if urllib.request.Request is TvmRequestHook:
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return
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urllib.request.Request = TvmRequestHook
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LOGGER = logging.getLogger("tvm_request_hook")
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LOGGER.setLevel(logging.DEBUG)
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fh = logging.FileHandler("redirected_urls.log")
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fh.setLevel(logging.DEBUG)
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LOGGER.addHandler(fh)
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