2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
8 * http://www.apache.org/licenses/LICENSE-2.0
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
17 #include "GenModelTest.h"
19 TEST_F(GenModelTest, OneOp_PadV2)
22 int in = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
23 std::vector<int32_t> padding_data{0, 0, 1, 1, 1, 1, 0, 0};
24 uint32_t padding_buf = cgen.addBuffer(padding_data);
25 int padding = cgen.addTensor({{4, 2}, circle::TensorType::TensorType_INT32, padding_buf});
26 std::vector<float> padding_value_data{3.0};
27 uint32_t padding_value_buf = cgen.addBuffer(padding_value_data);
29 cgen.addTensor({{1}, circle::TensorType::TensorType_FLOAT32, padding_value_buf});
31 int out = cgen.addTensor({{1, 4, 4, 1}, circle::TensorType::TensorType_FLOAT32});
33 cgen.addOperatorPadV2({{in, padding, padding_value}, {out}});
34 cgen.setInputsAndOutputs({in}, {out});
36 _context = std::make_unique<GenModelTestContext>(cgen.finish());
37 _context->addTestCase(
38 uniformTCD<float>({{1, 2, 3, 4}}, {{3, 3, 3, 3, 3, 1, 2, 3, 3, 3, 4, 3, 3, 3, 3, 3}}));
39 _context->setBackends({"cpu"});
44 TEST_F(GenModelTest, neg_OneOp_PadV2_InvalidPadRank)
47 int in = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
48 std::vector<int32_t> padding_data{1, 1, 1, 1};
49 uint32_t padding_buf = cgen.addBuffer(padding_data);
50 int padding = cgen.addTensor({{4}, circle::TensorType::TensorType_INT32, padding_buf});
51 std::vector<float> padding_value_data{3.0};
52 uint32_t padding_value_buf = cgen.addBuffer(padding_value_data);
54 cgen.addTensor({{1}, circle::TensorType::TensorType_FLOAT32, padding_value_buf});
56 int out = cgen.addTensor({{1, 4, 4, 1}, circle::TensorType::TensorType_FLOAT32});
58 cgen.addOperatorPad({{in, padding, padding_value}, {out}});
59 cgen.setInputsAndOutputs({in}, {out});
61 _context = std::make_unique<GenModelTestContext>(cgen.finish());
62 _context->setBackends({"acl_cl", "acl_neon", "cpu"});
63 _context->expectFailCompile();
68 TEST_F(GenModelTest, neg_OneOp_PadV2_InvalidPadDim0)
71 int in = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
72 std::vector<int32_t> padding_data{1, 1, 1, 1};
73 uint32_t padding_buf = cgen.addBuffer(padding_data);
74 int padding = cgen.addTensor({{2, 2}, circle::TensorType::TensorType_INT32, padding_buf});
75 std::vector<float> padding_value_data{3.0};
76 uint32_t padding_value_buf = cgen.addBuffer(padding_value_data);
78 cgen.addTensor({{1}, circle::TensorType::TensorType_FLOAT32, padding_value_buf});
80 int out = cgen.addTensor({{1, 4, 4, 1}, circle::TensorType::TensorType_FLOAT32});
82 cgen.addOperatorPad({{in, padding, padding_value}, {out}});
83 cgen.setInputsAndOutputs({in}, {out});
85 _context = std::make_unique<GenModelTestContext>(cgen.finish());
86 _context->setBackends({"acl_cl", "acl_neon", "cpu"});
87 _context->expectFailCompile();
92 TEST_F(GenModelTest, neg_OneOp_PadV2_InvalidPadDim1)
95 int in = cgen.addTensor({{1, 1, 1, 1}, circle::TensorType::TensorType_FLOAT32});
96 std::vector<int32_t> padding_data{1, 1, 1, 1};
97 uint32_t padding_buf = cgen.addBuffer(padding_data);
98 int padding = cgen.addTensor({{4, 1}, circle::TensorType::TensorType_INT32, padding_buf});
99 std::vector<float> padding_value_data{3.0};
100 uint32_t padding_value_buf = cgen.addBuffer(padding_value_data);
102 cgen.addTensor({{1}, circle::TensorType::TensorType_FLOAT32, padding_value_buf});
104 int out = cgen.addTensor({{2, 2, 2, 2}, circle::TensorType::TensorType_FLOAT32});
106 cgen.addOperatorPad({{in, padding, padding_value}, {out}});
107 cgen.setInputsAndOutputs({in}, {out});
109 _context = std::make_unique<GenModelTestContext>(cgen.finish());
110 _context->setBackends({"acl_cl", "acl_neon", "cpu"});
111 _context->expectFailCompile();
116 TEST_F(GenModelTest, neg_OneOp_PadV2_Type)
119 int in = cgen.addTensor({{1, 1, 1, 1}, circle::TensorType::TensorType_FLOAT32});
120 std::vector<int32_t> padding_data{1, 1, 1, 1};
121 uint32_t padding_buf = cgen.addBuffer(padding_data);
122 int padding = cgen.addTensor({{4, 2}, circle::TensorType::TensorType_INT32, padding_buf});
123 std::vector<uint8_t> padding_value_data{3};
124 uint32_t padding_value_buf = cgen.addBuffer(padding_value_data);
126 cgen.addTensor({{1}, circle::TensorType::TensorType_UINT8, padding_value_buf}, 1.0, 1);
128 int out = cgen.addTensor({{1, 4, 4, 1}, circle::TensorType::TensorType_FLOAT32});
130 cgen.addOperatorPadV2({{in, padding, padding_value}, {out}});
131 cgen.setInputsAndOutputs({in}, {out});
133 _context = std::make_unique<GenModelTestContext>(cgen.finish());
134 _context->expectFailModelLoad();
139 TEST_F(GenModelTest, neg_OneOp_PadV2_QuantParam)
142 int in = cgen.addTensor({{1, 1, 1, 1}, circle::TensorType::TensorType_UINT8}, 1.0, 2);
143 std::vector<int32_t> padding_data{1, 1, 1, 1};
144 uint32_t padding_buf = cgen.addBuffer(padding_data);
145 int padding = cgen.addTensor({{4, 2}, circle::TensorType::TensorType_INT32, padding_buf});
146 std::vector<uint8_t> padding_value_data{3};
147 uint32_t padding_value_buf = cgen.addBuffer(padding_value_data);
149 cgen.addTensor({{1}, circle::TensorType::TensorType_UINT8, padding_value_buf}, 1.0, 1);
151 int out = cgen.addTensor({{1, 4, 4, 1}, circle::TensorType::TensorType_UINT8}, 1.0, 1);
153 cgen.addOperatorPadV2({{in, padding, padding_value}, {out}});
154 cgen.setInputsAndOutputs({in}, {out});
156 _context = std::make_unique<GenModelTestContext>(cgen.finish());
157 _context->expectFailModelLoad();