ngraph/test/backend/quantized_convolution.in.cpp

   1 //*****************************************************************************
   2 // Copyright 2017-2020 Intel Corporation
   3 //
   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
   7 //
   8 //     http://www.apache.org/licenses/LICENSE-2.0
   9 //
  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.
  15 //*****************************************************************************
  16
  17 #include "gtest/gtest.h"
  18 #include "ngraph/ngraph.hpp"
  19 #include "ngraph/runtime/tensor.hpp"
  20 #include "runtime/backend.hpp"
  21 #include "util/all_close.hpp"
  22 #include "util/all_close_f.hpp"
  23 #include "util/known_element_types.hpp"
  24 #include "util/ndarray.hpp"
  25 #include "util/test_control.hpp"
  26 #include "util/test_tools.hpp"
  27
  28 NGRAPH_SUPPRESS_DEPRECATED_START
  29
  30 using namespace std;
  31 using namespace ngraph;
  32
  33 static string s_manifest = "${MANIFEST}";
  34
  35 NGRAPH_TEST(${BACKEND_NAME}, quantized_conv_int32_output)
  36 {
  37     Shape shape_a{1, 1, 3, 4};
  38     Shape shape_b{1, 1, 3, 3};
  39     Shape shape_r{1, 1, 3, 4};
  40     vector<uint8_t> a_data = {1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4};
  41     vector<uint8_t> b_data = {1, 2, 3, 4, 5, 0, 0, 1, 2};
  42     auto A = make_shared<op::Parameter>(element::u8, shape_a);
  43     auto B = make_shared<op::Parameter>(element::u8, shape_b);
  44     auto C = make_shared<op::Parameter>(element::f32, Shape{});
  45     auto D = op::Constant::create(element::u8, Shape{}, {0});
  46     auto E = make_shared<op::Parameter>(element::f32, Shape{});
  47     auto F = op::Constant::create(element::u8, Shape{}, {0});
  48     auto G = make_shared<op::Parameter>(element::f32, Shape{});
  49     auto H = op::Constant::create(element::i32, Shape{}, {0});
  50     auto CV = make_shared<op::QuantizedConvolution>(A,
  51                                                     B,
  52                                                     Strides{1, 1},
  53                                                     Strides{1, 1},
  54                                                     CoordinateDiff{1, 1},
  55                                                     CoordinateDiff{1, 1},
  56                                                     Strides{1, 1},
  57                                                     C,
  58                                                     D,
  59                                                     E,
  60                                                     F,
  61                                                     G,
  62                                                     H,
  63                                                     element::i32);
  64     auto f = make_shared<Function>(NodeVector{CV}, ParameterVector{A, B, C, E, G});
  65
  66     auto backend = runtime::Backend::create("${BACKEND_NAME}");
  67     // Create some tensors for input/output
  68     auto a = backend->create_tensor(element::u8, shape_a);
  69     copy_data(a, a_data);
  70     auto b = backend->create_tensor(element::u8, shape_b);
  71     copy_data(b, b_data);
  72     auto c = backend->create_tensor(element::f32, Shape{});
  73     copy_data(c, vector<float>{1.0f});
  74     auto d = backend->create_tensor(element::f32, Shape{});
  75     copy_data(d, vector<float>{1.0f});
  76     auto e = backend->create_tensor(element::f32, Shape{});
  77     copy_data(e, vector<float>{1.0f});
  78     auto result = backend->create_tensor(element::i32, shape_r);
  79     auto handle = backend->compile(f);
  80     handle->call_with_validate({result}, {a, b, c, d, e});
  81     EXPECT_EQ((vector<int32_t>{22, 34, 30, 32, 38, 72, 90, 43, 33, 52, 43, 39}),
  82               read_vector<int32_t>(result));
  83 }