janetsc commented on code in PR #13349:
URL: https://github.com/apache/tvm/pull/13349#discussion_r1022119475
##########
tests/python/contrib/test_hexagon/test_cache_read_write.py:
##########
@@ -222,5 +223,28 @@ def _visit(stmt):
)
+def _raises_exception(f):
+ try:
+ f()
+ except Exception:
+ return True
+ return False
+
+
[email protected]("vtcm_capacity,limited", [(65536, False), (8192,
True)])
+def test_vtcm_limit(vtcm_capacity, limited):
+ """Test lowering with vtcm mem scope"""
+ mod = tvm.IRModule.from_expr(scale_by_two.with_attr("global_symbol",
"main"))
+ sch = tir.Schedule(mod, debug_mask="all")
+ block_c = sch.get_block("C")
+ (flat,) = sch.get_loops(block_c)
+ outer, _, _, _ = sch.split(flat, factors=[8, 4, 2, 128])
+ cache_block = sch.cache_read(block_c, 0, storage_scope="global.vtcm")
+ sch.compute_at(cache_block, outer)
+
+ with tvm.transform.PassContext(config={"tir.vtcm_capacity":
vtcm_capacity}):
Review Comment:
It would be interesting in the future if we could pass this capacity down to
the device API for two reasons - to verify that it is possible, and to attempt
to allocate only that size from QURT in HexagonVtcmPool
##########
tests/python/unittest/test_tir_analysis_calculate_allocated_memory.py:
##########
@@ -0,0 +1,65 @@
+# 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 tvm
+from tvm import tir
+from tvm.script import tir as T
+
+
+# fmt: off
[email protected]_func
+def matmul_some_scope(a: T.handle, b: T.handle, c: T.handle) -> None:
+ A = T.match_buffer(a, [128, 128], scope="global")
+ A_ = T.alloc_buffer([128, 128], dtype="float32", scope="global.texture")
+ B = T.match_buffer(b, [128, 128], scope="global")
+ B_ = T.alloc_buffer([128, 128], dtype="float32", scope="global.texture")
+ C = T.match_buffer(c, [128, 128], scope="global")
+ C_ = T.alloc_buffer([128, 128], dtype="float32", scope="global")
+
+ for i, j in T.grid(128, 128):
+ with T.block("A_.texture"):
+ A_[i, j] = A[i, j]
+ for i, j in T.grid(128, 128):
+ with T.block("B_.texture"):
+ B_[i, j] = B[i, j]
+
+ for i, j, k in T.grid(128, 128, 128):
+ with T.block("update"):
+ vi, vj, vk = T.axis.remap("SSR", [i, j, k])
+ with T.init():
+ C_[vi, vj] = 0.0
+ C_[vi, vj] = C_[vi, vj] + A_[vi, vk] * B_[vj, vk]
+
+ for i, j in T.grid(128, 128):
+ with T.block("C"):
+ C[i, j] = C_[i, j]
+# fmt: on
+
+
[email protected](
+ "scope,size", [("global", 131072), ("global.texture", 131072*2),
("global.texture-nhwc", 0)]
+)
+def test_allocates(scope, size):
Review Comment:
Can you add a test specifically to make sure the calculated VTCM size
matches what we expect? (To make sure it picks up "global.vtcm", as the
LowerVtcmAlloc pass alters those nodes.)
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