chore: import upstream snapshot with attribution

tensorflow/lite/delegates/gpu/cl/default/BUILD

@@ -0,0 +1,26 @@
+load("@rules_cc//cc:cc_library.bzl", "cc_library")
+
+package(
+    # copybara:uncomment default_applicable_licenses = ["//tensorflow:LICENSE"],
+    default_visibility = ["//visibility:public"],
+    licenses = ["notice"],
+)
+
+cc_library(
+    name = "qcom_wrapper",
+    hdrs = ["qcom_wrapper.h"],
+)
+
+cc_library(
+    name = "recordable_queue",
+    srcs = ["recordable_queue.cc"],
+    deps = [
+        "//tensorflow/lite/delegates/gpu/cl:recordable_queue",
+    ],
+)
+
+cc_library(
+    name = "util",
+    srcs = ["util.cc"],
+    deps = ["//tensorflow/lite/delegates/gpu/cl:opencl_wrapper"],
+)

tensorflow/lite/delegates/gpu/cl/default/qcom_wrapper.h

@@ -0,0 +1,31 @@
+/* Copyright 2021 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.
+==============================================================================*/
+
+#ifndef TENSORFLOW_LITE_DELEGATES_GPU_CL_DEFAULT_QCOM_WRAPPER_H_
+#define TENSORFLOW_LITE_DELEGATES_GPU_CL_DEFAULT_QCOM_WRAPPER_H_
+
+namespace tflite {
+namespace gpu {
+namespace cl {
+
+#define LoadQcomExtensionFunctions()
+
+#define DEFINE_QCOM_FUNCTION_PTRS
+
+}  // namespace cl
+}  // namespace gpu
+}  // namespace tflite
+
+#endif  // TENSORFLOW_LITE_DELEGATES_GPU_CL_DEFAULT_QCOM_WRAPPER_H_

tensorflow/lite/delegates/gpu/cl/default/recordable_queue.cc

@@ -0,0 +1,32 @@
+/* Copyright 2021 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/lite/delegates/gpu/cl/recordable_queue.h"
+
+#include <memory>
+
+namespace tflite {
+namespace gpu {
+namespace cl {
+
+std::unique_ptr<RecordableQueue> CreateRecordableQueue(
+    const std::vector<ClOperation*>& ops, const CLDevice& device,
+    const CLContext& context) {
+  return std::make_unique<RecordableQueue>(RecordableQueue());
+}
+
+}  // namespace cl
+}  // namespace gpu
+}  // namespace tflite

tensorflow/lite/delegates/gpu/cl/default/util.cc

@@ -0,0 +1,42 @@
+/* Copyright 2022 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 <string>
+#include <utility>
+#include <vector>
+
+#include "tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h"
+
+namespace tflite {
+namespace gpu {
+namespace cl {
+
+absl::Status CreateQcomConvolutionFilter(cl_context context, int kernel_x,
+                                         int kernel_y, cl_mem* filter,
+                                         const void* data) {
+  return absl::UnavailableError("CreateQcomConvolutionFilter not available.");
+}
+
+std::vector<std::string> GetUnsupportedExtensions() {
+  return {"cl_qcom_accelerated_image_ops", "cl_qcom_recordable_queues"};
+}
+
+std::vector<std::pair<std::string, std::string>> GetClSpecificDefines() {
+  return {};
+}
+
+}  // namespace cl
+}  // namespace gpu
+}  // namespace tflite