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/*
* Copyright (c) 2020 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 "fixtures.h"
#include "NNPackages.h"
using ValidationTestAddSessionPrepared = ValidationTestSessionPrepared<NNPackages::ADD>;
TEST_F(ValidationTestAddSessionPrepared, run)
{
SetInOutBuffers();
_input[0] = 3.0;
NNFW_ENSURE_SUCCESS(nnfw_run(_session));
ASSERT_FLOAT_EQ(_output[0], 5.0);
}
TEST_F(ValidationTestAddSessionPrepared, run_twice)
{
SetInOutBuffers();
_input[0] = 4.0;
NNFW_ENSURE_SUCCESS(nnfw_run(_session));
ASSERT_FLOAT_EQ(_output[0], 6.0);
_input[0] = 5.0f;
NNFW_ENSURE_SUCCESS(nnfw_run(_session));
ASSERT_FLOAT_EQ(_output[0], 7.0);
}
TEST_F(ValidationTestAddSessionPrepared, run_many_times_dynamic_input)
{
for (int v = 1; v <= 5; v++) // 5 times with different shapes
{
nnfw_tensorinfo ti_input = {NNFW_TYPE_TENSOR_FLOAT32, 4, {1, 1, 1, v}};
SetInOutBuffersDynamic(&ti_input);
for (int i = 0; i < v; i++)
_input[i] = i * 10.0;
NNFW_ENSURE_SUCCESS(nnfw_run(_session));
// Check if the shape inference is correct
nnfw_tensorinfo ti_output;
ASSERT_EQ(nnfw_output_tensorinfo(_session, 0, &ti_output), NNFW_STATUS_NO_ERROR);
EXPECT_EQ(num_elems(&ti_input), num_elems(&ti_output));
for (int i = 0; i < v; i++)
ASSERT_FLOAT_EQ(_output[i], i * 10.0 + 2.0) << "i : " << i;
}
}
TEST_F(ValidationTestAddSessionPrepared, run_async)
{
SetInOutBuffers();
_input[0] = 3.0;
NNFW_ENSURE_SUCCESS(nnfw_run_async(_session));
NNFW_ENSURE_SUCCESS(nnfw_await(_session));
ASSERT_FLOAT_EQ(_output[0], 5.0);
}
TEST_F(ValidationTestAddSessionPrepared, set_input_001)
{
char input[32];
ASSERT_EQ(nnfw_set_input(_session, 0, NNFW_TYPE_TENSOR_FLOAT32, input, sizeof(input)),
NNFW_STATUS_NO_ERROR);
}
TEST_F(ValidationTestAddSessionPrepared, get_input_size)
{
uint32_t size = 0;
NNFW_ENSURE_SUCCESS(nnfw_input_size(_session, &size));
ASSERT_EQ(size, 1);
}
TEST_F(ValidationTestAddSessionPrepared, get_output_size)
{
uint32_t size = 0;
NNFW_ENSURE_SUCCESS(nnfw_output_size(_session, &size));
ASSERT_EQ(size, 1);
}
TEST_F(ValidationTestAddSessionPrepared, output_tensorinfo)
{
nnfw_tensorinfo tensor_info;
NNFW_ENSURE_SUCCESS(nnfw_output_tensorinfo(_session, 0, &tensor_info));
ASSERT_EQ(tensor_info.rank, 1);
ASSERT_EQ(tensor_info.dims[0], 1);
}
TEST_F(ValidationTestAddSessionPrepared, neg_await_without_async_run)
{
SetInOutBuffers();
ASSERT_EQ(nnfw_await(_session), NNFW_STATUS_ERROR);
}
TEST_F(ValidationTestAddSessionPrepared, neg_await_after_sync_run)
{
SetInOutBuffers();
NNFW_ENSURE_SUCCESS(nnfw_run(_session));
ASSERT_EQ(nnfw_await(_session), NNFW_STATUS_ERROR);
}
TEST_F(ValidationTestAddSessionPrepared, neg_await_twice)
{
SetInOutBuffers();
NNFW_ENSURE_SUCCESS(nnfw_run_async(_session));
NNFW_ENSURE_SUCCESS(nnfw_await(_session));
ASSERT_EQ(nnfw_await(_session), NNFW_STATUS_ERROR);
}
TEST_F(ValidationTestAddSessionPrepared, neg_run_during_async_run)
{
SetInOutBuffers();
NNFW_ENSURE_SUCCESS(nnfw_run_async(_session));
EXPECT_EQ(nnfw_run(_session), NNFW_STATUS_INVALID_STATE);
NNFW_ENSURE_SUCCESS(nnfw_await(_session));
}
TEST_F(ValidationTestAddSessionPrepared, neg_set_input_001)
{
ASSERT_EQ(nnfw_set_input(_session, 0, NNFW_TYPE_TENSOR_FLOAT32, nullptr, 1), NNFW_STATUS_ERROR);
}
TEST_F(ValidationTestAddSessionPrepared, neg_set_input_002)
{
char input[1]; // buffer size is too small
ASSERT_EQ(nnfw_set_input(_session, 0, NNFW_TYPE_TENSOR_FLOAT32, input, sizeof(input)),
NNFW_STATUS_ERROR);
}
TEST_F(ValidationTestAddSessionPrepared, set_output_001)
{
char buffer[32];
ASSERT_EQ(nnfw_set_input(_session, 0, NNFW_TYPE_TENSOR_FLOAT32, buffer, sizeof(buffer)),
NNFW_STATUS_NO_ERROR);
}
TEST_F(ValidationTestAddSessionPrepared, neg_set_output_001)
{
ASSERT_EQ(nnfw_set_output(_session, 0, NNFW_TYPE_TENSOR_FLOAT32, nullptr, 1), NNFW_STATUS_ERROR);
}
TEST_F(ValidationTestAddSessionPrepared, neg_set_output_002)
{
char input[1]; // buffer size is too small
ASSERT_EQ(nnfw_set_output(_session, 0, NNFW_TYPE_TENSOR_FLOAT32, input, sizeof(input)),
NNFW_STATUS_ERROR);
}
TEST_F(ValidationTestAddSessionPrepared, neg_get_input_size)
{
ASSERT_EQ(nnfw_input_size(_session, nullptr), NNFW_STATUS_UNEXPECTED_NULL);
}
TEST_F(ValidationTestAddSessionPrepared, neg_get_output_size)
{
ASSERT_EQ(nnfw_output_size(_session, nullptr), NNFW_STATUS_UNEXPECTED_NULL);
}
TEST_F(ValidationTestAddSessionPrepared, neg_load_model)
{
// Load model twice
ASSERT_EQ(nnfw_load_model_from_file(
_session, NNPackages::get().getModelAbsolutePath(NNPackages::ADD).c_str()),
NNFW_STATUS_INVALID_STATE);
}
TEST_F(ValidationTestAddSessionPrepared, neg_prepare)
{
// Call Prepare twice
ASSERT_EQ(nnfw_prepare(_session), NNFW_STATUS_INVALID_STATE);
}
TEST_F(ValidationTestAddSessionPrepared, neg_run_without_set_output)
{
uint8_t input[4];
NNFW_ENSURE_SUCCESS(nnfw_set_input(_session, 0, NNFW_TYPE_TENSOR_FLOAT32, input, sizeof(input)));
// `nnfw_set_output()` is not called
ASSERT_EQ(nnfw_run(_session), NNFW_STATUS_ERROR);
}
TEST_F(ValidationTestAddSessionPrepared, neg_internal_set_config)
{
// All arguments are valid, but the session state is wrong
ASSERT_EQ(nnfw_set_config(_session, "TRACE_FILEPATH", ""), NNFW_STATUS_INVALID_STATE);
ASSERT_EQ(nnfw_set_config(_session, "GRAPH_DOT_DUMP", "0"), NNFW_STATUS_INVALID_STATE);
}
// TODO Validation check when "nnfw_run" is called without input & output tensor setting
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