1 /*
2 * Licensed to the Apache Software Foundation (ASF) under one
3 * or more contributor license agreements. See the NOTICE file
4 * distributed with this work for additional information
5 * regarding copyright ownership. The ASF licenses this file
6 * to you under the Apache License, Version 2.0 (the
7 * "License"); you may not use this file except in compliance
8 * with the License. You may obtain a copy of the License at
9 *
10 * http://www.apache.org/licenses/LICENSE-2.0
11 *
12 * Unless required by applicable law or agreed to in writing,
13 * software distributed under the License is distributed on an
14 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
15 * KIND, either express or implied. See the License for the
16 * specific language governing permissions and limitations
17 * under the License.
18 */
19
20 /*!
21 * \file np_delete_op.cc
22 * \brief CPU Implementation of numpy insert operations
23 */
24
25 #include <vector>
26 #include "./np_delete_op-inl.h"
27
28 namespace mxnet {
29 namespace op {
30
31 DMLC_REGISTER_PARAMETER(NumpyDeleteParam);
32
NumpyDeleteType(const nnvm::NodeAttrs & attrs,std::vector<int> * in_type,std::vector<int> * out_type)33 bool NumpyDeleteType(const nnvm::NodeAttrs& attrs,
34 std::vector<int> *in_type,
35 std::vector<int> *out_type) {
36 const NumpyDeleteParam& param = nnvm::get<NumpyDeleteParam>(attrs.parsed);
37 int insize = (param.step.has_value() || param.int_ind.has_value()) ? 1 : 2;
38 CHECK_EQ(in_type->size(), insize);
39 CHECK_EQ(out_type->size(), 1U);
40 if (insize == 3) {
41 CHECK_NE((*in_type)[1], -1) << "Index type must be set for insert operator\n";
42 CHECK(((*in_type)[1] == mshadow::DataType<int64_t>::kFlag) ||
43 ((*in_type)[1] == mshadow::DataType<int32_t>::kFlag))
44 << "Index type only support int32 or int64.\n";
45 }
46 TYPE_ASSIGN_CHECK(*out_type, 0, (*in_type)[0]);
47 TYPE_ASSIGN_CHECK(*in_type, 0, (*out_type)[0]);
48 return (*in_type)[0] != -1;
49 }
50
NumpyDeleteStorageType(const nnvm::NodeAttrs & attrs,const int dev_mask,DispatchMode * dispatch_mode,std::vector<int> * in_attrs,std::vector<int> * out_attrs)51 inline bool NumpyDeleteStorageType(const nnvm::NodeAttrs& attrs,
52 const int dev_mask,
53 DispatchMode* dispatch_mode,
54 std::vector<int> *in_attrs,
55 std::vector<int> *out_attrs) {
56 const NumpyDeleteParam& param = nnvm::get<NumpyDeleteParam>(attrs.parsed);
57 unsigned int insize = (param.step.has_value() || param.int_ind.has_value()) ? 1U : 2U;
58 CHECK_EQ(in_attrs->size(), insize);
59 CHECK_EQ(out_attrs->size(), 1U);
60 for (int &attr : *in_attrs) {
61 CHECK_EQ(attr, kDefaultStorage) << "Only default storage is supported";
62 }
63 for (int &attr : *out_attrs) {
64 attr = kDefaultStorage;
65 }
66 *dispatch_mode = DispatchMode::kFComputeEx;
67 return true;
68 }
69
70 NNVM_REGISTER_OP(_npi_delete)
71 .describe(R"code(Delete values along the given axis before the given indices.)code" ADD_FILELINE)
72 .set_attr_parser(ParamParser<NumpyDeleteParam>)
__anon39f25dc40102(const NodeAttrs& attrs) 73 .set_num_inputs([](const NodeAttrs& attrs) {
74 const NumpyDeleteParam& params = nnvm::get<NumpyDeleteParam>(attrs.parsed);
75 return (params.step.has_value() || params.int_ind.has_value()) ? 1U : 2U;
76 })
77 .set_num_outputs(1)
78 .set_attr<nnvm::FListInputNames>("FListInputNames",
__anon39f25dc40202(const NodeAttrs& attrs) 79 [](const NodeAttrs& attrs) {
80 const NumpyDeleteParam& params = nnvm::get<NumpyDeleteParam>(attrs.parsed);
81 return (params.step.has_value() || params.int_ind.has_value()) ?
82 std::vector<std::string>{"arr"} :
83 std::vector<std::string>{"arr", "obj"};
84 })
85 .set_attr<nnvm::FInferType>("FInferType", NumpyDeleteType)
86 .set_attr<mxnet::FComputeEx>("FComputeEx<cpu>", NumpyDeleteCompute<cpu>)
87 .set_attr<FInferStorageType>("FInferStorageType", NumpyDeleteStorageType)
88 .set_attr<FResourceRequest>("FResourceRequest",
__anon39f25dc40302(const NodeAttrs& attrs) 89 [](const NodeAttrs& attrs) {
90 return std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
91 })
92 .add_argument("arr", "NDArray-or-Symbol", "Input ndarray")
93 .add_argument("obj", "NDArray-or-Symbol", "Input ndarray")
94 .add_arguments(NumpyDeleteParam::__FIELDS__());
95
96 } // namespace op
97 } // namespace mxnet
98