piiswrong commented on a change in pull request #9688: bilinear upsample from 
PyTorch
URL: https://github.com/apache/incubator-mxnet/pull/9688#discussion_r165805852
 
 

 ##########
 File path: src/operator/bilinear_upsample-inl.h
 ##########
 @@ -0,0 +1,162 @@
+/*
+ * 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.
+ */
+ /*!
+ * Copyright (c) 2018 by Contributors
+ * \file bilinear_upsample-inl.h
+ * \brief  bilinear upsample operator
+ * \author Hang Zhang
+ */
+#ifndef MXNET_OPERATOR_BILINEAR_SAMPLE_INL_H_
+#define MXNET_OPERATOR_BILINEAR_SAMPLE_INL_H_
+
+#include <dmlc/logging.h>
+#include <dmlc/parameter.h>
+#include <mxnet/operator.h>
+#include <mxnet/ndarray.h>
+#include <map>
+#include <vector>
+#include <string>
+#include <utility>
+#include "../ndarray/ndarray_function.h"
+#include "./operator_common.h"
+#include "./mxnet_op.h"
+#include "./mshadow_op.h"
+
+namespace mxnet {
+namespace op {
+
+struct BilinearSampleParam : public dmlc::Parameter<BilinearSampleParam> {
+  int out_height;
+  int out_width;
+  DMLC_DECLARE_PARAMETER(BilinearSampleParam) {
+    DMLC_DECLARE_FIELD(out_height).set_range(1, 1000)
+    .describe("output height");
+    DMLC_DECLARE_FIELD(out_width).set_range(1, 1000)
+    .describe("output width");
+  }
+};
+
+template<typename xpu, typename DType, typename AccReal>
+void SpatialUpSamplingBilinearUpdateOutput(mshadow::Stream<cpu> *s,
+                                           const std::vector<TBlob> &input,
+                                           const std::vector<TBlob> &output);
+
+template<typename xpu, typename DType, typename AccReal>
+void SpatialUpSamplingBilinearUpdateGradInput(mshadow::Stream<cpu> *s,
+                                              const std::vector<TBlob> &input,
+                                              const std::vector<TBlob> 
&output);
+
+#if MXNET_USE_CUDA
+template<typename xpu, typename DType, typename AccReal>
+void SpatialUpSamplingBilinearUpdateOutput(mshadow::Stream<gpu> *s,
+                                           const std::vector<TBlob> &input,
+                                           const std::vector<TBlob> &output);
+
+template<typename xpu, typename DType, typename AccReal>
+void SpatialUpSamplingBilinearUpdateGradInput(mshadow::Stream<gpu> *s,
+                                              const std::vector<TBlob> &input,
+                                              const std::vector<TBlob> 
&output);
+#endif  // MXNET_USE_CUDA
+
+template <typename xpu>
+inline void BilinearSampleOpForward(const nnvm::NodeAttrs& attrs,    
+                                      const OpContext &ctx,
+                                      const std::vector<TBlob> &inputs,
+                                      const std::vector<OpReqType> &req,
+                                      const std::vector<TBlob> &outputs) {
+  CHECK_EQ(inputs.size(), 1U);
+  CHECK_EQ(outputs.size(), 1U);
+  mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
+  MSHADOW_REAL_TYPE_SWITCH_EX(inputs[0].type_flag_, DType, AccReal, {
+    SpatialUpSamplingBilinearUpdateOutput<xpu, DType, AccReal>(s, inputs, 
outputs);
+  });
+}
+
+
+template <typename xpu>
+inline void BilinearSampleOpBackward(const nnvm::NodeAttrs& attrs,
+                                     const OpContext &ctx,
+                                     const std::vector<TBlob> &inputs,
+                                     const std::vector<OpReqType> &req,
+                                     const std::vector<TBlob> &outputs) {
+  CHECK_EQ(inputs.size(), 1U);
+  CHECK_EQ(outputs.size(), 1U);
+  mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
+  MSHADOW_REAL_TYPE_SWITCH_EX(inputs[0].type_flag_, DType, AccReal, {
+    SpatialUpSamplingBilinearUpdateGradInput<xpu, DType, AccReal>(s, inputs, 
outputs);
 
 Review comment:
   check for req

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