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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2022/11/14 22:31:34 UTC

[GitHub] [tvm] janetsc commented on a diff in pull request #13349: [TIR][Hexagon] Add vtcm memory capacity verification for Hexagon target

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
+
+
+@pytest.mark.parametrize("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
+@T.prim_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
+
+
+@pytest.mark.parametrize(
+    "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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