wehub-resource-sync
64 lines
2.5 KiB
Python
64 lines
2.5 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: E741
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"""Instrument test cases."""
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import tvm
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from tvm import relax
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from tvm.ir.instrument import PrintAfterAll, PrintBeforeAll
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from tvm.script import ir as I
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from tvm.script import relax as R
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from tvm.script import tirx as T
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# pylint: disable=invalid-name,missing-function-docstring,no-value-for-parameter
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def test_tir_print_all_passes(capsys):
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@T.prim_func(s_tir=True)
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def func(a: T.handle, b: T.handle) -> None:
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A = T.match_buffer(a, (128, 128, 128, 128))
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B = T.match_buffer(b, (128, 128, 128, 128))
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for i, j, k, l in T.grid(128, 128, 128, 128):
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with T.sblock("B"):
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vi, vj, vk, vl = T.axis.remap("SSSS", [i, j, k, l])
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B[vi, vj, vk, vl] = A[vi, vj, vk, vl] * 2.0
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with tvm.transform.PassContext(opt_level=3, instruments=[PrintBeforeAll(), PrintAfterAll()]):
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tvm.compile(func)
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all_passes_output = capsys.readouterr().out
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assert "Before Running Pass:" in all_passes_output
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assert "After Running Pass:" in all_passes_output
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assert 'name="tirx.' in all_passes_output
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def test_relax_print_all_passes(capsys):
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@I.ir_module(s_tir=True)
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class Module:
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@R.function
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def func(x: R.Tensor((16,), "float32"), y: R.Tensor((16,), "float32")):
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z = R.add(x, y)
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y = z
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return y
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pipeline = relax.get_pipeline("default_build")
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with tvm.transform.PassContext(opt_level=3, instruments=[PrintBeforeAll(), PrintAfterAll()]):
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pipeline(Module)
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all_passes_output = capsys.readouterr().out
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assert "Before Running Pass:" in all_passes_output
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assert "After Running Pass:" in all_passes_output
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assert 'name="_pipeline"' in all_passes_output
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