| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| # ruff: noqa: F401 |
| """Unittests for tvm.script.parser.core""" |
| |
| import inspect |
| |
| import pytest |
| import tvm_ffi |
| |
| import tvm |
| import tvm.testing |
| from tvm.ir import Call, SequentialSpan, assert_structural_equal |
| from tvm.script import tirx as T |
| from tvm.script.parser.core import doc_core as doc |
| from tvm.script.parser.core.diagnostics import Source |
| from tvm.script.tirx import tile as Tx |
| from tvm.tirx.stmt import TilePrimitiveCall |
| from tvm.tirx.stmt_functor import post_order_visit |
| |
| |
| def _tirx_source(func): |
| """Leave a function intact while marking its source as TIRx.""" |
| return func |
| |
| |
| _tirx_source.dispatch_token = "tirx" |
| |
| |
| def matmul(a: T.handle, b: T.handle, c: T.handle) -> None: |
| A = T.match_buffer(a, [128, 128]) |
| B = T.match_buffer(b, [128, 128]) |
| C = T.match_buffer(c, [128, 128]) |
| for i, j, k in T.grid(128, 128, 128): |
| with T.sblock("update"): |
| vi, vj, vk = T.axis.remap("SSR", [i, j, k]) |
| C[vi, vj] = C[vi, vj] + A[vi, vk] * B[vj, vk] |
| |
| |
| def test_source_base(): |
| source = Source(matmul) |
| assert ( |
| source.source_name == inspect.getsourcefile(matmul) |
| and source.start_line is not None |
| and source.start_column == 0 |
| and source.source == inspect.getsource(matmul) |
| and source.full_source == inspect.getsource(inspect.getmodule(matmul)) |
| ) |
| |
| |
| def test_source_ast(): |
| source = Source(matmul) |
| mod = source.as_ast() |
| assert isinstance(mod, doc.Module) |
| func_def = mod.body[0] |
| assert isinstance(func_def, doc.FunctionDef) |
| assert func_def.name == "matmul" |
| func_args = func_def.args |
| assert ( |
| len(func_args.args) == 3 |
| and func_args.args[0].arg == "a" |
| and func_args.args[1].arg == "b" |
| and func_args.args[2].arg == "c" |
| ) |
| func_body = func_def.body |
| assert len(func_body) == 4 |
| func_assigns = func_body[:3] |
| assert ( |
| isinstance(func_assigns[0], doc.Assign) |
| and func_assigns[0].targets[0].id == "A" |
| and isinstance(func_assigns[1], doc.Assign) |
| and func_assigns[1].targets[0].id == "B" |
| and isinstance(func_assigns[2], doc.Assign) |
| and func_assigns[2].targets[0].id == "C" |
| ) |
| func_for = func_body[3] |
| assert ( |
| len(func_for.target.elts) == 3 |
| and func_for.target.elts[0].id == "i" |
| and func_for.target.elts[1].id == "j" |
| and func_for.target.elts[2].id == "k" |
| ) |
| for_body = func_for.body |
| assert len(for_body) == 1 |
| for_block = for_body[0] |
| assert isinstance(for_block, doc.With) and len(for_block.body) == 2 |
| |
| |
| def _span_range(span): |
| return ( |
| span.source_name.name, |
| span.line, |
| span.column, |
| span.end_line, |
| span.end_column, |
| ) |
| |
| |
| def _find_ir_node(func, predicate): |
| nodes = [] |
| post_order_visit(func.body, nodes.append) |
| matches = [node for node in nodes if predicate(node)] |
| assert len(matches) == 1 |
| return matches[0] |
| |
| |
| def test_source_to_span_matches_parser_diagnostic_coordinates(): |
| source = Source(matmul) |
| assign = source.as_ast().body[0].body[0] |
| span = source.to_span(assign) |
| expected_location = ( |
| source.start_line + 1, |
| 5, |
| source.start_line + 1, |
| 38, |
| ) |
| |
| assert source.location(assign) == expected_location |
| assert _span_range(span) == (source.source_name, *expected_location) |
| |
| |
| def test_parser_attaches_span_to_direct_call(): |
| @_tirx_source |
| def direct_call(): |
| T.device_entry() |
| barriers = T.alloc_buffer((1,), "uint64", scope="shared") |
| T.ptx.mbarrier.try_wait( |
| T.address_of(barriers[0]), |
| 0, |
| ) |
| |
| source = Source(direct_call) |
| call_ast = source.as_ast().body[0].body[-1].value |
| func = T.prim_func(direct_call) |
| call = _find_ir_node( |
| func, |
| lambda node: isinstance(node, Call) |
| and getattr(node.op, "name", None) == "tirx.ptx.mbarrier_try_wait", |
| ) |
| |
| assert _span_range(call.span) == _span_range(source.to_span(call_ast)) |
| |
| |
| def test_parser_retains_inline_call_site_and_definition_spans(): |
| def wait_impl(barrier): |
| T.ptx.mbarrier.try_wait(barrier, 0) |
| |
| wait_source = Source(wait_impl) |
| wait_call_ast = wait_source.as_ast().body[0].body[0].value |
| wait = T.inline(wait_impl) |
| |
| @_tirx_source |
| def inline_call(): |
| T.device_entry() |
| barriers = T.alloc_buffer((1,), "uint64", scope="shared") |
| wait(T.address_of(barriers[0])) |
| |
| caller_source = Source(inline_call) |
| caller_call_ast = caller_source.as_ast().body[0].body[-1].value |
| func = T.prim_func(inline_call) |
| call = _find_ir_node( |
| func, |
| lambda node: isinstance(node, Call) |
| and getattr(node.op, "name", None) == "tirx.ptx.mbarrier_try_wait", |
| ) |
| |
| assert isinstance(call.span, SequentialSpan) |
| assert [_span_range(span) for span in call.span.spans] == [ |
| _span_range(caller_source.to_span(caller_call_ast)), |
| _span_range(wait_source.to_span(wait_call_ast)), |
| ] |
| |
| |
| def test_parser_attaches_span_to_tile_primitive_call(): |
| @_tirx_source |
| def tile_call(): |
| A = T.alloc_buffer((16,), "float32") |
| Tx.memset(A[0:16], T.float32(0)) |
| |
| source = Source(tile_call) |
| call_ast = source.as_ast().body[0].body[-1].value |
| func = T.prim_func(tile_call) |
| call = _find_ir_node(func, lambda node: isinstance(node, TilePrimitiveCall)) |
| |
| assert _span_range(call.span) == _span_range(source.to_span(call_ast)) |
| |
| |
| def test_parser_spans_do_not_affect_structural_identity(): |
| source_a = """@T.prim_func\ndef f():\n T.evaluate(1)\n""" |
| source_b = """\n\n@T.prim_func\ndef f():\n T.evaluate(1)\n""" |
| |
| func_a = tvm.script.from_source(source_a) |
| func_b = tvm.script.from_source(source_b) |
| |
| assert _span_range(func_a.body.span) == ("<str>", 3, 5, 3, 18) |
| assert _span_range(func_b.body.span) == ("<str>", 5, 5, 5, 18) |
| assert tvm_ffi.structural_hash(func_a) == tvm_ffi.structural_hash(func_b) |
| assert_structural_equal(func_a, func_b) |
| |
| |
| def test_nesting_parsing(): |
| class dummy: |
| pass |
| |
| for i in range(1): |
| |
| @tvm.script.ir_module |
| class Module: |
| @T.prim_func(s_tir=True) |
| def impl( |
| A: T.Buffer((12, 196, 64), "float32"), |
| ) -> None: |
| T.evaluate(0) |
| |
| |
| if __name__ == "__main__": |
| tvm.testing.main() |