1 files changed, 59 insertions, 0 deletions
diff --git a/tensorflow/compiler/xla/client/lib/testing.cc b/tensorflow/compiler/xla/client/lib/testing.cc
new file mode 100644
index 0000000000..004f3815d2
--- /dev/null
+++ b/tensorflow/compiler/xla/client/lib/testing.cc
@@ -0,0 +1,59 @@
+/* Copyright 2017 The TensorFlow Authors. 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 "tensorflow/compiler/xla/client/lib/testing.h"
+
+#include "tensorflow/compiler/xla/client/computation.h"
+#include "tensorflow/compiler/xla/client/computation_builder.h"
+#include "tensorflow/compiler/xla/literal_util.h"
+#include "tensorflow/compiler/xla/shape_util.h"
+#include "tensorflow/compiler/xla/statusor.h"
+#include "tensorflow/compiler/xla/types.h"
+#include "tensorflow/compiler/xla/util.h"
+#include "tensorflow/core/lib/strings/strcat.h"
+#include "tensorflow/core/platform/protobuf.h"
+#include "tensorflow/core/platform/types.h"
+
+namespace xla {
+
+std::unique_ptr<GlobalData> MakeFakeDataOrDie(const Shape& shape,
+                                              Client* client) {
+  ComputationBuilder b(
+      client,
+      tensorflow::strings::StrCat("make_fake_", ShapeUtil::HumanString(shape)));
+  // TODO(b/26811613): Replace this when RNG is supported on all backends.
+  b.Broadcast(b.ConstantLiteral(LiteralUtil::One(shape.element_type())),
+              AsInt64Slice(shape.dimensions()));
+  Computation computation = b.Build().ConsumeValueOrDie();
+  return client->Execute(computation, /*arguments=*/{}, &shape)
+      .ConsumeValueOrDie();
+}
+
+std::vector<std::unique_ptr<GlobalData>> MakeFakeArgumentsOrDie(
+    const Computation& computation, Client* client) {
+  auto program_shape =
+      client->GetComputationShape(computation).ConsumeValueOrDie();
+
+  // For every (unbound) parameter that the computation wants, we manufacture
+  // some arbitrary data so that we can invoke the computation.
+  std::vector<std::unique_ptr<GlobalData>> fake_arguments;
+  for (const Shape& parameter : program_shape->parameters()) {
+    fake_arguments.push_back(MakeFakeDataOrDie(parameter, client));
+  }
+
+  return fake_arguments;
+}
+
+}  // namespace xla