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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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 <plier/tf/Convert.h>
#include <tensorflow/core/framework/graph.pb.h>
#include <gtest/gtest.h>
#include <string>
namespace
{
void prepare_test_node(tensorflow::NodeDef &node)
{
node.set_op("Placeholder");
node.set_name("node");
tensorflow::AttrValue dtype_attr;
dtype_attr.set_type(tensorflow::DT_FLOAT);
(*node.mutable_attr())["dtype_1"] = dtype_attr;
auto *shape = (*node.mutable_attr())["shape_1"].mutable_shape();
shape->add_dim()->set_size(1);
shape->add_dim()->set_size(2);
shape->add_dim()->set_size(4);
shape->add_dim()->set_size(8);
auto *list = (*node.mutable_attr())["list_1"].mutable_list();
list->add_i(1);
list->add_i(20);
list->add_i(1LL << 40);
list->add_i(-(1LL << 40));
}
} // namespace
TEST(plier_Convert, attr)
{
tensorflow::NodeDef node;
prepare_test_node(node);
ASSERT_TRUE(plier::tf::has_attr(node, "dtype_1"));
ASSERT_FALSE(plier::tf::has_attr(node, "other"));
}
TEST(plier_Convert, attr_datatype)
{
tensorflow::NodeDef node;
prepare_test_node(node);
ASSERT_EQ(plier::tf::get_datatype_attr(node, "dtype_1"), tensorflow::DT_FLOAT);
}
TEST(plier_Convert, attr_shape)
{
tensorflow::NodeDef node;
prepare_test_node(node);
const auto &shape = plier::tf::get_shape_attr(node, "shape_1");
ASSERT_EQ(shape.dim_size(), 4);
ASSERT_EQ(shape.dim(0).size(), 1);
ASSERT_EQ(shape.dim(1).size(), 2);
ASSERT_EQ(shape.dim(2).size(), 4);
ASSERT_EQ(shape.dim(3).size(), 8);
}
TEST(plier_Convert, to_loco_datatype)
{
ASSERT_EQ(plier::tf::as_loco_datatype(tensorflow::DT_FLOAT), loco::DataType::FLOAT32);
}
TEST(plier_Convert, attr_ilist)
{
tensorflow::NodeDef node;
prepare_test_node(node);
const auto &p_list = plier::tf::get_list_attr(node, "list_1");
auto i_list = plier::tf::as_int64_list(p_list);
ASSERT_EQ(i_list.size(), 4);
ASSERT_EQ(i_list.at(0), 1);
ASSERT_EQ(i_list.at(1), 20);
ASSERT_EQ(i_list.at(2), 1LL << 40);
ASSERT_EQ(i_list.at(3), -(1LL << 40));
}
TEST(plier_Convert, to_data_layout)
{
ASSERT_EQ(plier::tf::as_data_layout("NHWC"), plier::tf::DataLayout::NHWC);
ASSERT_EQ(plier::tf::as_data_layout("NCHW"), plier::tf::DataLayout::NCHW);
}
TEST(plier_Convert, copy_shape_thrown_on_unknown_dim)
{
tensorflow::TensorShapeProto tf_shape;
nncc::core::ADT::tensor::Shape angkor_shape;
tf_shape.add_dim()->set_size(-1);
ASSERT_ANY_THROW(plier::tf::copy_shape(tf_shape, angkor_shape));
}
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