[GitHub] [tvm] elvin-n commented on a change in pull request #8915: [Hexagon] Add trivial conv2d operator to Hexagon relay strategy

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

elvin-n commented on a change in pull request #8915:
URL: https://github.com/apache/tvm/pull/8915#discussion_r702055383



##########
File path: python/tvm/topi/hexagon/conv2d.py
##########
@@ -0,0 +1,26 @@
+# 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.
+
+""" Schedules for conv2d. """
+
+import tvm
+
+
+def schedule_conv2d_nhwc(outs):
+    """Schedule for Conv2d NHWC operator."""
+    s = tvm.te.create_schedule([x.op for x in outs])

Review comment:
       Can we add a possibility to appoint a layer to be offloaded to CPU? I have compared TFLite case and SNPE one for object detection models and it happened that it's better to execute Detection Output on CPU instead of DSP. It might be an exception but such use case is quite widely used




-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: commits-unsubscribe@tvm.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org