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#include <functional>
#include <memory>
#include <vector>
#include <gtest/gtest.h>
#include "tensorflow/core/framework/allocator.h"
#include "tensorflow/core/framework/fake_input.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/framework/node_def_builder.h"
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/summary.pb.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/kernels/ops_testutil.h"
#include "tensorflow/core/kernels/ops_util.h"
#include "tensorflow/core/lib/core/status_test_util.h"
#include "tensorflow/core/lib/histogram/histogram.h"
#include "tensorflow/core/lib/strings/strcat.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/public/env.h"
#include "tensorflow/core/public/tensor.h"
namespace tensorflow {
namespace {
static void EXPECT_SummaryMatches(const Summary& actual,
const string& expected_str) {
Summary expected;
CHECK(protobuf::TextFormat::ParseFromString(expected_str, &expected));
EXPECT_EQ(expected.DebugString(), actual.DebugString());
}
// --------------------------------------------------------------------------
// SummaryImageOp
// --------------------------------------------------------------------------
class SummaryImageOpTest : public OpsTestBase {
protected:
void MakeOp(int max_images) {
RequireDefaultOps();
ASSERT_OK(NodeDefBuilder("myop", "ImageSummary")
.Input(FakeInput())
.Input(FakeInput())
.Attr("max_images", max_images)
.Finalize(node_def()));
ASSERT_OK(InitOp());
}
void CheckAndRemoveEncodedImages(Summary* summary) {
for (int i = 0; i < summary->value_size(); ++i) {
Summary::Value* value = summary->mutable_value(i);
ASSERT_TRUE(value->has_image()) << "No image for value: " << value->tag();
ASSERT_FALSE(value->image().encoded_image_string().empty())
<< "No encoded_image_string for value: " << value->tag();
if (VLOG_IS_ON(2)) {
// When LOGGING, output the images to disk for manual inspection.
TF_CHECK_OK(WriteStringToFile(
Env::Default(), strings::StrCat("/tmp/", value->tag(), ".png"),
value->image().encoded_image_string()));
}
value->mutable_image()->clear_encoded_image_string();
}
}
};
TEST_F(SummaryImageOpTest, ThreeGrayImagesOutOfFive4dInput) {
MakeOp(3 /* max images */);
// Feed and run
AddInputFromArray<string>(TensorShape({}), {"tag"});
AddInputFromArray<float>(TensorShape({5, 2, 1, 1}),
{0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0});
ASSERT_OK(RunOpKernel());
// Check the output size.
Tensor* out_tensor = GetOutput(0);
ASSERT_EQ(0, out_tensor->dims());
Summary summary;
ParseProtoUnlimited(&summary, out_tensor->scalar<string>()());
CheckAndRemoveEncodedImages(&summary);
EXPECT_SummaryMatches(summary, R"(
value { tag: 'tag/image/0' image { width: 1 height: 2 colorspace: 1} }
value { tag: 'tag/image/1' image { width: 1 height: 2 colorspace: 1} }
value { tag: 'tag/image/2' image { width: 1 height: 2 colorspace: 1} }
)");
}
TEST_F(SummaryImageOpTest, OneGrayImage4dInput) {
MakeOp(1 /* max images */);
// Feed and run
AddInputFromArray<string>(TensorShape({}), {"tag"});
AddInputFromArray<float>(TensorShape({5 /*batch*/, 2, 1, 1 /*depth*/}),
{0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0});
ASSERT_OK(RunOpKernel());
// Check the output size.
Tensor* out_tensor = GetOutput(0);
ASSERT_EQ(0, out_tensor->dims());
Summary summary;
ParseProtoUnlimited(&summary, out_tensor->scalar<string>()());
CheckAndRemoveEncodedImages(&summary);
EXPECT_SummaryMatches(summary, R"(
value { tag: 'tag/image' image { width: 1 height: 2 colorspace: 1} })");
}
TEST_F(SummaryImageOpTest, OneColorImage4dInput) {
MakeOp(1 /* max images */);
// Feed and run
AddInputFromArray<string>(TensorShape({}), {"tag"});
AddInputFromArray<float>(
TensorShape({1 /*batch*/, 5 /*rows*/, 2 /*columns*/, 3 /*depth*/}),
{
/* r0, c0, RGB */ 1.0, 0.1, 0.2,
/* r0, c1, RGB */ 1.0, 0.3, 0.4,
/* r1, c0, RGB */ 0.0, 1.0, 0.0,
/* r1, c1, RGB */ 0.0, 1.0, 0.0,
/* r2, c0, RGB */ 0.0, 0.0, 1.0,
/* r2, c1, RGB */ 0.0, 0.0, 1.0,
/* r3, c0, RGB */ 1.0, 1.0, 0.0,
/* r3, c1, RGB */ 1.0, 0.0, 1.0,
/* r4, c0, RGB */ 1.0, 1.0, 0.0,
/* r4, c1, RGB */ 1.0, 0.0, 1.0,
});
ASSERT_OK(RunOpKernel());
// Check the output size.
Tensor* out_tensor = GetOutput(0);
ASSERT_EQ(0, out_tensor->dims());
Summary summary;
ParseProtoUnlimited(&summary, out_tensor->scalar<string>()());
CheckAndRemoveEncodedImages(&summary);
EXPECT_SummaryMatches(summary, R"(
value { tag: 'tag/image' image { width: 2 height: 5 colorspace: 3} })");
}
} // namespace
} // namespace tensorflow
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