193 lines
7.3 KiB
C++
193 lines
7.3 KiB
C++
//*****************************************************************************
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// Copyright 2017-2021 Intel Corporation
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//*****************************************************************************
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#include "gtest/gtest.h"
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#include "ngraph/ngraph.hpp"
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#include "ngraph/runtime/reference/convert.hpp"
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#include "ngraph/runtime/tensor.hpp"
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#include "runtime/backend.hpp"
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#include "util/all_close.hpp"
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#include "util/all_close_f.hpp"
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#include "util/ndarray.hpp"
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#include "util/test_control.hpp"
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#include "util/test_tools.hpp"
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using namespace std;
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using namespace ngraph;
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static string s_manifest = "${MANIFEST}";
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NGRAPH_TEST(${BACKEND_NAME}, convert_int32_float32)
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{
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Shape shape{2, 2};
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auto A = make_shared<op::Parameter>(element::i32, shape);
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auto f = make_shared<Function>(make_shared<op::Convert>(A, element::f32), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::i32, shape);
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copy_data(a, vector<int32_t>{281, 2, 3, 4});
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auto result = backend->create_tensor(element::f32, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{281, 2, 3, 4}), read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, convert_uint16_float32)
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{
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Shape shape{2, 2};
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auto A = make_shared<op::Parameter>(element::u16, shape);
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auto f = make_shared<Function>(make_shared<op::Convert>(A, element::f32), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::u16, shape);
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copy_data(a, vector<uint16_t>{1, 2, 3, 4});
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auto result = backend->create_tensor(element::f32, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(
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(vector<float>{1, 2, 3, 4}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, convert_int32_bool)
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{
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Shape shape{2, 3};
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auto A = make_shared<op::Parameter>(element::i32, shape);
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auto f =
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make_shared<Function>(make_shared<op::Convert>(A, element::boolean), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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int32_t lowest = std::numeric_limits<int32_t>::lowest();
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int32_t max = std::numeric_limits<int32_t>::max();
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::i32, shape);
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copy_data(a, vector<int32_t>{0, 12, 23, 0, lowest, max});
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auto result = backend->create_tensor(element::boolean, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{0, 1, 1, 0, 1, 1}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, convert_float32_bool)
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{
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Shape shape{3, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto f =
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make_shared<Function>(make_shared<op::Convert>(A, element::boolean), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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float lowest = std::numeric_limits<float>::lowest();
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float max = std::numeric_limits<float>::max();
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float min = std::numeric_limits<float>::min();
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float pos_inf = std::numeric_limits<float>::infinity();
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float neg_inf = -std::numeric_limits<float>::infinity();
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{0.f, 1.5745f, 0.12352f, 0.f, lowest, max, min, pos_inf, neg_inf});
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auto result = backend->create_tensor(element::boolean, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{0, 1, 1, 0, 1, 1, 1, 1, 1}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, convert_float32_bf16)
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{
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Shape shape_a{1, 1, 3, 5};
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// input data
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vector<float> a_data = {
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0.5f, 1.5f, 0.5f, 2.5f, 1.5f, 0.5f, 3.5f, 2.5f, 0.5f, 0.5f, 2.5f, 0.5f, 0.5f, 0.5f, 1.5f};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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auto convert = make_shared<op::Convert>(A, element::bf16);
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auto f = make_shared<Function>(NodeVector{convert}, ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, a_data);
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auto result = backend->create_tensor(element::bf16, shape_a);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<bfloat16>{
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0.5, 1.5, 0.5, 2.5, 1.5, 0.5, 3.5, 2.5, 0.5, 0.5, 2.5, 0.5, 0.5, 0.5, 1.5}),
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read_vector<bfloat16>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, convert_bf16_float32)
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{
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Shape shape_a{1, 1, 3, 5};
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// input data
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vector<bfloat16> a_data = {
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0.5, 1.5, 0.5, 2.5, 1.5, 0.5, 3.5, 2.5, 0.5, 0.5, 2.5, 0.5, 0.5, 0.5, 1.5};
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auto A = make_shared<op::Parameter>(element::bf16, shape_a);
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auto convert = make_shared<op::Convert>(A, element::f32);
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auto f = make_shared<Function>(NodeVector{convert}, ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::bf16, shape_a);
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copy_data(a, a_data);
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auto result = backend->create_tensor(element::f32, shape_a);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<float>{0.5f,
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1.5f,
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0.5f,
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2.5f,
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1.5f,
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0.5f,
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3.5f,
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2.5f,
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0.5f,
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0.5f,
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2.5f,
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0.5f,
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0.5f,
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0.5f,
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1.5f}),
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read_vector<float>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, convert_fp16_float32)
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{
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std::vector<float> f32vec = {-20.5, -15, -10.5, -0.5, 0, 0.5, 10.5, 15, 20.5};
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std::vector<float16> f16vec(std::begin(f32vec), std::end(f32vec));
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std::vector<float> result(f32vec.size());
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runtime::reference::convert(f16vec.data(), result.data(), f32vec.size());
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EXPECT_EQ(result, f32vec);
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}
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NGRAPH_TEST(${BACKEND_NAME}, convert_uint8_fp16)
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{
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std::vector<uint8_t> u8vec = {0, 10, 15, 20, 43, 56, 78, 99, 102, 130, 142};
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std::vector<float16> f16vec(std::begin(u8vec), std::end(u8vec));
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std::vector<float16> result(u8vec.size());
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runtime::reference::convert(u8vec.data(), result.data(), u8vec.size());
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EXPECT_EQ(result, f16vec);
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}
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