[GitHub] [tvm] yzh119 commented on a change in pull request #10066: [TIR] Add software pipelining

[GitBox <gi...@apache.org>]

yzh119 commented on a change in pull request #10066:
URL: https://github.com/apache/tvm/pull/10066#discussion_r792258895



##########
File path: tests/python/unittest/test_tir_transform_inject_software_pipeline.py
##########
@@ -0,0 +1,754 @@
+# 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.
+import pytest
+import sys
+
+import tvm
+from tvm import tir, te, TVMError
+from tvm.script import tir as T
+
+
+def _check(original, transformed):
+    func = original
+    mod = tvm.IRModule.from_expr(func)
+    mod = tvm.tir.transform.InjectSoftwarePipeline()(mod)
+    mod = tvm.tir.transform.Simplify()(mod)
+    print(mod['main'].script())
+    tvm.ir.assert_structural_equal(mod["main"], transformed, True)
+
+
+def _check_error(func):
+    mod = tvm.IRModule.from_expr(func)
+    with pytest.raises(ValueError):
+        tvm.tir.transform.InjectSoftwarePipeline()(mod)
+
+
+@T.prim_func
+def trivial_pipeline(A: T.Buffer[(16, 1), "float32"], C: T.Buffer[(16, 1), "float32"]):
+    for tx in T.thread_binding(0, 16, thread="threadIdx.x"):
+        for i in T.serial(0, 1, annotations={"software_pipeline_stage": [0, 1], 'software_pipeline_order': [0, 1]}):
+            with T.block():
+                T.reads(A[tx, i])
+                T.writes(C[tx, i])
+                B = T.alloc_buffer((16, 1), dtype="float32", scope="shared")
+                with T.block():
+                    T.reads(A[tx, i])
+                    T.writes(B[tx, 0])
+                    B[tx, 0] = A[tx, i] * T.float32(2)
+                with T.block():
+                    T.reads(B[tx, 0])
+                    T.writes(C[tx, i])
+                    C[tx, i] = B[tx, 0] + T.float32(1)
+
+
+@T.prim_func
+def transformed_trivial_pipeline(A: T.Buffer[(16, 1), "float32"], C: T.Buffer[(16, 1), "float32"]) -> None:
+    for tx in T.thread_binding(16, thread="threadIdx.x"):
+        with T.block():
+            T.reads(A[tx, 0])
+            T.writes(C[tx, 0])
+            B = T.alloc_buffer([2, 16, 1], dtype="float32", scope="shared")
+            with T.block():
+                T.reads(A[tx, 0])
+                T.writes(B[0, tx, 0])
+                B[0, tx, 0] = A[tx, 0] * T.float32(2)
+            with T.block():

Review comment:
       What's this inserted block used for?




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