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// Copyright (C) 2018 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <gtest/gtest.h>
#include "ie_blob.h"
#include "blob_factory.hpp"
#include "utils/blob_dump.h"
using namespace InferenceEngine;
using namespace MKLDNNPlugin;
TEST(MKLDNNDumpTests, UnallocatedBlob_NoDump) {
SizeVector dims {2,3,4,5};
Blob::Ptr blob = make_blob_with_precision({Precision::U8, dims, NHWC});
std::stringstream buff;
EXPECT_THROW({
BlobDumper(blob).dump(buff);
}, details::InferenceEngineException);
}
TEST(MKLDNNDumpTests, EmptyBlob_NoDump) {
SizeVector dims {2,3,4,5};
Blob::Ptr blob;
std::stringstream buff;
EXPECT_THROW({
BlobDumper(blob).dump(buff);
}, details::InferenceEngineException);
}
TEST(MKLDNNDumpTests, Ser) {
SizeVector dims {2,3,4,5};
Blob::Ptr blob = make_blob_with_precision({Precision::U8, dims, NHWC});
blob->allocate();
std::stringstream buff;
BlobDumper(blob).dump(buff);
ASSERT_GT(buff.str().size(), blob->byteSize());
}
TEST(MKLDNNDumpTests, SerDeser) {
SizeVector dims {2,3,4,5};
Blob::Ptr blob = make_blob_with_precision({Precision::U8, dims, NCHW});
blob->allocate();
std::stringstream buff;
BlobDumper(blob).dump(buff);
Blob::Ptr deser_blob = BlobDumper::read(buff).get();
ASSERT_EQ(deser_blob->dims(), blob->dims());
ASSERT_EQ(deser_blob->precision(), blob->precision());
std::vector<uint8_t> data(blob->buffer().as<uint8_t*>(), blob->buffer().as<uint8_t*>() + blob->size());
std::vector<uint8_t> deser_data(deser_blob->buffer().as<uint8_t*>(), deser_blob->buffer().as<uint8_t*>()
+ deser_blob->size());
ASSERT_EQ(deser_data, data);
}
TEST(MKLDNNDumpTests, SerDeserWithScales) {
SizeVector dims {2,3,4,5};
auto blob = make_blob_with_precision({Precision::U8, dims, NCHW});
blob->allocate();
auto scls = make_blob_with_precision({Precision::FP32, {3}, C});
scls->allocate();
std::stringstream buff;
BlobDumper(blob).withScales(scls).dump(buff);
auto deser = BlobDumper::read(buff);
auto deser_blob = deser.get();
auto deser_scls = deser.getScales();
ASSERT_EQ(deser_blob->dims(), blob->dims());
ASSERT_EQ(deser_blob->precision(), blob->precision());
std::vector<uint8_t> data(blob->buffer().as<uint8_t*>(), blob->buffer().as<uint8_t*>() + blob->size());
std::vector<uint8_t> deser_data(deser_blob->buffer().as<uint8_t*>(), deser_blob->buffer().as<uint8_t*>()
+ deser_blob->size());
ASSERT_EQ(deser_data, data);
std::vector<uint8_t> scls_data(scls->buffer().as<uint8_t*>(), scls->buffer().as<uint8_t*>() + scls->size());
std::vector<uint8_t> deser_scls_data(deser_scls->buffer().as<uint8_t*>(), deser_scls->buffer().as<uint8_t*>()
+ deser_scls->size());
ASSERT_EQ(deser_scls_data, scls_data);
}
TEST(MKLDNNDumpTests, SerU8AsTxt) {
SizeVector dims {2,3,4,5};
Blob::Ptr blob = make_blob_with_precision({Precision::U8, dims, NCHW});
blob->allocate();
Blob::Ptr scls = make_blob_with_precision({Precision::FP32, {dims[1]}, C});
scls->allocate();
std::stringstream buff;
BlobDumper(blob).withScales(scls).dumpAsTxt(buff);
std::string deser_header, ref_header = "U8 4D shape: 2 3 4 5 (120)";
std::getline(buff, deser_header);
ASSERT_EQ(deser_header, ref_header);
auto num_line = std::count(std::istreambuf_iterator<char>(buff),
std::istreambuf_iterator<char>(), '\n');
ASSERT_EQ(num_line, blob->size());
}
TEST(MKLDNNDumpTests, SerAsTxt) {
SizeVector dims {2,3};
Blob::Ptr blob = make_blob_with_precision({Precision::FP32, dims, NC});
blob->allocate();
Blob::Ptr scls = make_blob_with_precision({Precision::FP32, {dims[1]}, C});
scls->allocate();
std::stringstream buff;
BlobDumper(blob).withScales(scls).dumpAsTxt(buff);
std::string deser_header, ref_header = "FP32 2D shape: 2 3 (6)";
std::getline(buff, deser_header);
ASSERT_EQ(deser_header, ref_header);
auto num_line = std::count(std::istreambuf_iterator<char>(buff),
std::istreambuf_iterator<char>(), '\n');
ASSERT_EQ(num_line, blob->size());
}
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