You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/07/10 06:52:30 UTC

[GitHub] [incubator-mxnet] reminisce commented on a change in pull request #15293: Numpy bitwise OR operator

reminisce commented on a change in pull request #15293: Numpy bitwise OR operator
URL: https://github.com/apache/incubator-mxnet/pull/15293#discussion_r301909209
 
 

 ##########
 File path: src/operator/numpy/np_elemwise_binary_op.cc
 ##########
 @@ -0,0 +1,51 @@
+/*
+ * 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.
+ */
+
+/*!
+ * \file np_elemwise_binary_op.cc
+ * \brief CPU Implementation of numpy-compatible element-wise binary operations
+ */
+
+#include <mxnet/base.h>
+#include "../mshadow_op.h"
+#include "../operator_common.h"
+#include "../tensor/elemwise_binary_op.h"
+#include "../tensor/elemwise_binary_broadcast_op.h"
+
+namespace mxnet {
+namespace op {
+
+NNVM_REGISTER_OP(_np_bitwise_or)
+.set_num_inputs(2)
+.set_num_outputs(1)
+.set_attr<mxnet::FInferShape>("FInferShape", BinaryBroadcastShape)
+.set_attr<nnvm::FInferType>("FInferType", ElemwiseType<2, 1>)
 
 Review comment:
   This may not be correct. At least, the official numpy does not support bitwise_or for floating numbers. Please add a special infer type function which gives the similar error message as the official numpy when input dtype is not supported.

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


With regards,
Apache Git Services