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openvino/ngraph/test/backend/reduce_min.in.cpp

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//*****************************************************************************
// Copyright 2017-2020 Intel Corporation
//
// Licensed 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.
//*****************************************************************************
#include "gtest/gtest.h"
#include "ngraph/ngraph.hpp"
#include "util/all_close.hpp"
#include "util/all_close_f.hpp"
#include "util/known_element_types.hpp"
#include "util/ndarray.hpp"
#include "util/test_control.hpp"
#include "util/test_tools.hpp"
using namespace std;
using namespace ngraph;
static string s_manifest = "${MANIFEST}";
// ----------------------- keep dims = false ----------------------- //
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_to_scalar)
{
Shape shape{2, 2};
auto A = make_shared<op::Parameter>(element::f32, shape);
auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape);
copy_data(a, vector<float>{1, 2, 3, 4});
auto result = backend->create_tensor(element::f32, Shape{});
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_to_scalar_int8)
{
Shape shape{2, 2};
auto A = make_shared<op::Parameter>(element::i8, shape);
auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::i8, shape);
copy_data(a, vector<int8_t>{1, 2, 3, 4});
auto result = backend->create_tensor(element::i8, Shape{});
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<int8_t>{1}), read_vector<int8_t>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_matrix_columns)
{
Shape shape_a{3, 2};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{2};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
auto result = backend->create_tensor(element::f32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1, 2}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_matrix_rows)
{
Shape shape_a{3, 2};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{3};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
auto result = backend->create_tensor(element::f32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1, 3, 5}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_matrix_rows_int32)
{
Shape shape_a{3, 2};
auto A = make_shared<op::Parameter>(element::i32, shape_a);
Shape shape_rt{3};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::i32, shape_a);
copy_data(a, vector<int32_t>{1, 2, 3, 4, 5, 6});
auto result = backend->create_tensor(element::i32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<int32_t>{1, 3, 5}), read_vector<int32_t>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_matrix_rows_zero)
{
Shape shape_a{3, 0};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{3};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{});
auto result = backend->create_tensor(element::f32, shape_rt);
copy_data(result, vector<float>({3, 3, 3}));
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<float>{std::numeric_limits<float>::infinity(),
std::numeric_limits<float>::infinity(),
std::numeric_limits<float>::infinity()}),
read_vector<float>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_matrix_cols_zero)
{
// Now the reduction (g(x:float32[2,2],y:float32[]) = reduce(x,y,f,axes={})).
Shape shape_a{0, 2};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{2};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{});
auto result = backend->create_tensor(element::f32, shape_rt);
copy_data(result, vector<float>({3, 3}));
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<float>{std::numeric_limits<float>::infinity(),
std::numeric_limits<float>::infinity()}),
read_vector<float>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_vector_zero)
{
Shape shape_a{0};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{});
auto result = backend->create_tensor(element::f32, shape_rt);
copy_data(result, vector<float>({3}));
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<float>{std::numeric_limits<float>::infinity()}), read_vector<float>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_matrix_to_scalar_zero_by_zero)
{
Shape shape_a{0, 0};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{};
auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{});
auto result = backend->create_tensor(element::f32, shape_rt);
copy_data(result, vector<float>({3}));
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<float>{std::numeric_limits<float>::infinity()}), read_vector<float>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_3d_to_matrix_most_sig)
{
Shape shape_a{3, 3, 3};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{3, 3};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27});
auto result = backend->create_tensor(element::f32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9}),
read_vector<float>(result),
MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_3d_to_matrix_least_sig)
{
Shape shape_a{3, 3, 3};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{3, 3};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 2);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27});
auto result = backend->create_tensor(element::f32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f((vector<float>{1, 4, 7, 10, 13, 16, 19, 22, 25}),
read_vector<float>(result),
MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_3d_to_vector)
{
Shape shape_a{3, 3, 3};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{3};
auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27});
auto result = backend->create_tensor(element::f32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1, 2, 3}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_3d_to_scalar)
{
Shape shape_a{3, 3, 3};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{};
auto axes = make_shared<op::Constant>(element::i32, Shape{3}, vector<int32_t>{0, 1, 2});
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1});
auto result = backend->create_tensor(element::f32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_3d_to_scalar_int32)
{
Shape shape_a{3, 3, 3};
auto A = make_shared<op::Parameter>(element::i32, shape_a);
Shape shape_rt{};
auto axes = make_shared<op::Constant>(element::i32, Shape{3}, vector<int32_t>{0, 1, 2});
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::i32, shape_a);
copy_data(a, vector<int32_t>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1});
auto result = backend->create_tensor(element::i32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<int32_t>{1}), read_vector<int32_t>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_3d_eliminate_zero_dim)
{
Shape shape_a{3, 0, 2};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{3, 2};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{});
auto result = backend->create_tensor(element::f32, shape_rt);
// Overwrite the initial result vector to make sure we're not just coincidentally getting the
// right value.
copy_data(result, vector<float>{2112, 2112, 2112, 2112, 2112, 2112});
float inf = std::numeric_limits<float>::infinity();
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<float>{inf, inf, inf, inf, inf, inf}), read_vector<float>(result));
}
// ----------------------- keep dims = true ----------------------- //
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_to_scalar)
{
Shape shape{2, 2};
auto A = make_shared<op::Parameter>(element::f32, shape);
auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape);
copy_data(a, vector<float>{1, 2, 3, 4});
auto result = backend->create_tensor(element::f32, Shape{1, 1});
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_to_scalar_int8)
{
Shape shape{2, 2};
auto A = make_shared<op::Parameter>(element::i8, shape);
auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::i8, shape);
copy_data(a, vector<int8_t>{1, 2, 3, 4});
auto result = backend->create_tensor(element::i8, Shape{1, 1});
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<int8_t>{1}), read_vector<int8_t>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_matrix_columns)
{
Shape shape_a{3, 2};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{1, 2};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
auto result = backend->create_tensor(element::f32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1, 2}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_matrix_rows)
{
Shape shape_a{3, 2};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{3, 1};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
auto result = backend->create_tensor(element::f32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1, 3, 5}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_matrix_rows_int32)
{
Shape shape_a{3, 2};
auto A = make_shared<op::Parameter>(element::i32, shape_a);
Shape shape_rt{3, 1};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::i32, shape_a);
copy_data(a, vector<int32_t>{1, 2, 3, 4, 5, 6});
auto result = backend->create_tensor(element::i32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<int32_t>{1, 3, 5}), read_vector<int32_t>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_matrix_rows_zero)
{
Shape shape_a{3, 0};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{3, 1};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{});
auto result = backend->create_tensor(element::f32, shape_rt);
copy_data(result, vector<float>({3, 3, 3}));
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<float>{std::numeric_limits<float>::infinity(),
std::numeric_limits<float>::infinity(),
std::numeric_limits<float>::infinity()}),
read_vector<float>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_matrix_cols_zero)
{
// Now the reduction (g(x:float32[2,2],y:float32[]) = reduce(x,y,f,axes={})).
Shape shape_a{0, 2};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{1, 2};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{});
auto result = backend->create_tensor(element::f32, shape_rt);
copy_data(result, vector<float>({3, 3}));
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<float>{std::numeric_limits<float>::infinity(),
std::numeric_limits<float>::infinity()}),
read_vector<float>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_vector_zero)
{
Shape shape_a{0};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{1};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{});
auto result = backend->create_tensor(element::f32, shape_rt);
copy_data(result, vector<float>({3}));
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<float>{std::numeric_limits<float>::infinity()}), read_vector<float>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_matrix_to_scalar_zero_by_zero)
{
Shape shape_a{0, 0};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{1, 1};
auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{});
auto result = backend->create_tensor(element::f32, shape_rt);
copy_data(result, vector<float>({3}));
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<float>{std::numeric_limits<float>::infinity()}), read_vector<float>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_3d_to_matrix_most_sig)
{
Shape shape_a{3, 3, 3};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{1, 3, 3};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27});
auto result = backend->create_tensor(element::f32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9}),
read_vector<float>(result),
MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_3d_to_matrix_least_sig)
{
Shape shape_a{3, 3, 3};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{3, 3, 1};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 2);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27});
auto result = backend->create_tensor(element::f32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f((vector<float>{1, 4, 7, 10, 13, 16, 19, 22, 25}),
read_vector<float>(result),
MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_3d_to_vector)
{
Shape shape_a{3, 3, 3};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{1, 1, 3};
auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27});
auto result = backend->create_tensor(element::f32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1, 2, 3}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_3d_to_scalar)
{
Shape shape_a{3, 3, 3};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{1, 1, 1};
auto axes = make_shared<op::Constant>(element::i32, Shape{3}, vector<int32_t>{0, 1, 2});
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1});
auto result = backend->create_tensor(element::f32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_3d_to_scalar_int32)
{
Shape shape_a{3, 3, 3};
auto A = make_shared<op::Parameter>(element::i32, shape_a);
Shape shape_rt{1, 1, 1};
auto axes = make_shared<op::Constant>(element::i32, Shape{3}, vector<int32_t>{0, 1, 2});
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::i32, shape_a);
copy_data(a, vector<int32_t>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1});
auto result = backend->create_tensor(element::i32, shape_rt);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<int32_t>{1}), read_vector<int32_t>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_3d_eliminate_zero_dim)
{
Shape shape_a{3, 0, 2};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
Shape shape_rt{3, 1, 2};
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{});
auto result = backend->create_tensor(element::f32, shape_rt);
// Overwrite the initial result vector to make sure we're not just coincidentally getting the
// right value.
copy_data(result, vector<float>{2112, 2112, 2112, 2112, 2112, 2112});
float inf = std::numeric_limits<float>::infinity();
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ((vector<float>{inf, inf, inf, inf, inf, inf}), read_vector<float>(result));
}
// Dynamic
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_matrix_columns_dynamic)
{
auto A = make_shared<op::Parameter>(element::f32, PartialShape::dynamic());
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}", true);
// Create some tensors for input/output
Shape shape_a{3, 2};
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
auto result = backend->create_dynamic_tensor(element::f32, PartialShape::dynamic());
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1, 2}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_matrix_rows_dynamic)
{
auto A = make_shared<op::Parameter>(element::f32, PartialShape::dynamic());
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, false), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}", true);
// Create some tensors for input/output
Shape shape_a{3, 2};
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
auto result = backend->create_dynamic_tensor(element::f32, PartialShape::dynamic());
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1, 3, 5}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_matrix_columns_dynamic)
{
auto A = make_shared<op::Parameter>(element::f32, PartialShape::dynamic());
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}", true);
// Create some tensors for input/output
Shape shape_a{3, 2};
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
auto result = backend->create_dynamic_tensor(element::f32, PartialShape::dynamic());
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1, 2}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, reduce_min_keep_matrix_rows_dynamic)
{
auto A = make_shared<op::Parameter>(element::f32, PartialShape::dynamic());
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
auto f =
make_shared<Function>(make_shared<op::v1::ReduceMin>(A, axes, true), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}", true);
// Create some tensors for input/output
Shape shape_a{3, 2};
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
auto result = backend->create_dynamic_tensor(element::f32, PartialShape::dynamic());
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f(
(vector<float>{1, 3, 5}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
}
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