ckt624 commented on a change in pull request #15893: Numpy kron operator
URL: https://github.com/apache/incubator-mxnet/pull/15893#discussion_r314198878
 
 

 ##########
 File path: src/operator/numpy/np_kron-inl.h
 ##########
 @@ -0,0 +1,86 @@
+/*
+ * 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_kron-inl.h
+ * \brief Function definition of matrix numpy-compatible kron operator
+ */
+
+#ifndef MXNET_OPERATOR_NUMPY_NP_KRON_INL_H_
+#define MXNET_OPERATOR_NUMPY_NP_KRON_INL_H_
+
+#include <mxnet/operator_util.h>
+#include <vector>
+#include "../tensor/dot-inl.h"
+#include "../tensor/elemwise_binary_op.h"
+#include "../tensor/broadcast_reduce_op.h"
+#include "../channel_op_common.h"
+#include "np_tensordot_op-inl.h"
+
+namespace mxnet {
+namespace op {
+
+template<typename xpu>
+inline void KronOpForward(const nnvm::NodeAttrs& attrs,
+                          const OpContext& ctx,
+                          const std::vector<TBlob>& inputs,
+                          const std::vector<OpReqType>& req,
+                          const std::vector<TBlob>& outputs) {
+  using namespace mshadow;
+  using namespace mxnet_op;
+
+  CHECK_EQ(inputs.size(), 2U);
+  CHECK_EQ(outputs.size(), 1U);
+
+  const TBlob& a = inputs[0];
+  const TBlob& b = inputs[1];
+  const TBlob& out = outputs[0];
+  const mxnet::TShape a_shape = a.shape_;
+  const mxnet::TShape b_shape = b.shape_;
+
+  TensordotIntAxesImpl<xpu>(0, ctx, a, b, out, req[0]);
+}
+
+template<typename xpu>
+inline void KronOpBackward(const nnvm::NodeAttrs& attrs,
+                           const OpContext& ctx,
+                           const std::vector<TBlob>& inputs,
+                           const std::vector<OpReqType>& req,
+                           const std::vector<TBlob>& outputs) {
+  using namespace mshadow;
+  using namespace mshadow_op;
 
 Review comment:
   Fixed. Thx.

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