echuraev commented on code in PR #13100:
URL: https://github.com/apache/tvm/pull/13100#discussion_r997245108
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python/tvm/relay/op/strategy/adreno.py:
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@@ -208,6 +208,13 @@ def schedule_injective_adreno(attrs, outs, target):
return topi.adreno.schedule_injective(outs)
+@schedule_reduce.register(["adreno"])
+def schedule_reduce_adreno(attrs, outs, target):
+ """schedule reduction ops for cuda"""
Review Comment:
Please rename `cuda`->`adreno`
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tests/python/relay/opencl_texture/test_reduction_texture.py:
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@@ -0,0 +1,53 @@
+# 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 re
+import tvm
+import numpy as np
+from tvm import relay
+from tvm.relay import testing
+from tvm.contrib import utils
+from utils.adreno_utils import gpu_preprocess, build_run_compare
+
+
+dtype = tvm.testing.parameter("float32")
+
+
[email protected]_opencl
[email protected]_targets("opencl -device=adreno")
+def test_mean(target, dtype):
+ # NCHW
+ input_shape = (1, 3, 720, 1280)
+ A = relay.var("data", shape=input_shape, dtype=dtype)
+ mean = relay.mean(A, axis=1, keepdims=True)
+ mod = relay.Function([A], mean)
+ print(mod)
Review Comment:
Are these prints (here and in the next test) used for debugging purposes?
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