haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367146557
 
 

 ##########
 File path: src/operator/numpy/np_pad_op-inl.h
 ##########
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+/*
+ * 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) 2019 by Contributors
+ * \file np_pad_op-inl.h
+ * \brief Function definition of matrix related operators
+ */
+#ifndef MXNET_OPERATOR_NUMPY_NP_PAD_OP_INL_H_
+#define MXNET_OPERATOR_NUMPY_NP_PAD_OP_INL_H_
+
+#include <vector>
+#include <algorithm>
+#include <string>
+#include <utility>
+#include "../tensor/matrix_op-inl.h"
+#include "../nn/concat-inl.h"
+#include "../../common/utils.h"
+#include "../mxnet_op.h"
+#include "../operator_common.h"
+#include "../elemwise_op_common.h"
+#include "../tensor/broadcast_reduce_op.h"
+
+namespace mxnet {
+namespace op {
+
+template <size_t ndim, typename xpu>
+MSHADOW_XINLINE index_t rravel(const mshadow::Shape<ndim>& coord,
+                               const mshadow::Tensor<xpu, 1, index_t>& shape) {
+  index_t ret = 0;
+  #pragma unroll
+  for (int i = 0; i < ndim; ++i) {
+    ret = ret * shape[i] + (shape[i] > coord[i]) * coord[i];
+  }
+  return ret;
+}
+
+template<size_t ndim, typename xpu>
+MSHADOW_XINLINE mshadow::Shape<ndim> uunravel(index_t idx,
+                                              const mshadow::Tensor<xpu, 1, 
index_t>& shape) {
+  mshadow::Shape<ndim> ret;
+  #pragma unroll
+  for (index_t i = ndim-1, j = idx; i >=0; --i) {
+    auto tmp = j / shape[i];
+    ret[i] = j - tmp*shape[i];
+    j = tmp;
+  }
+  return ret;
+}
+
+struct NumpyPadParam : public dmlc::Parameter<NumpyPadParam> {
+  mxnet::Tuple<Tuple<int>> pad_width;
+  int mode;
+  std::string reflect_type;
+  double constant_value;
+  DMLC_DECLARE_PARAMETER(NumpyPadParam) {
+    DMLC_DECLARE_FIELD(pad_width)
+        .describe("Number of values padded to the edges of each axis. "
+                  "((before_1, after_1), … (before_N,"
+                  "after_N)) unique pad widths for each axis. ((before, 
after),) "
+                  "yields same before and"
+                  "after pad for each axis. "
+                  "(pad,) or int is a shortcut for before = after = pad width 
for all"
+                  "axes.");
+    DMLC_DECLARE_FIELD(mode)
+        .set_default(1)
+        .describe("str or function, optional");
+    DMLC_DECLARE_FIELD(reflect_type)
+        .set_default("even")
+        .describe("Used in ‘reflect’, and ‘symmetric’. "
+                  "The ‘even’ style is the default with an unaltered 
reflection around "
+                  "the edge value. For the ‘odd’ style,"
+                  "the extended part of the array is created by subtracting 
the "
+                  "reflected values from two times the edge value.");
+    DMLC_DECLARE_FIELD(constant_value)
+        .set_default(0.0)
 
 Review comment:
   2-space indentation.

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