diff --git a/neuralnetworks/utils/common/Android.bp b/neuralnetworks/utils/common/Android.bp
new file mode 100644
index 0000000..b61dc97
--- /dev/null
+++ b/neuralnetworks/utils/common/Android.bp
@@ -0,0 +1,29 @@
+//
+// Copyright (C) 2020 The Android Open Source Project
+//
+// 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.
+//
+
+cc_library_static {
+    name: "neuralnetworks_utils_hal_common",
+    defaults: ["neuralnetworks_utils_defaults"],
+    srcs: ["src/*"],
+    local_include_dirs: ["include/nnapi/hal"],
+    export_include_dirs: ["include"],
+    static_libs: [
+        "neuralnetworks_types",
+    ],
+    shared_libs: [
+        "libhidlbase",
+    ],
+}
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h b/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
new file mode 100644
index 0000000..8c01368
--- /dev/null
+++ b/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
@@ -0,0 +1,59 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * 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 ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H
+
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <vector>
+
+// Shorthand
+namespace android::hardware::neuralnetworks {
+namespace hal = ::android::hardware::neuralnetworks;
+}  // namespace android::hardware::neuralnetworks
+
+// Shorthand
+namespace android::nn {
+namespace hal = ::android::hardware::neuralnetworks;
+}
+
+namespace android::hardware::neuralnetworks::utils {
+
+nn::Capabilities::OperandPerformanceTable makeQuantized8PerformanceConsistentWithP(
+        const nn::Capabilities::PerformanceInfo& float32Performance,
+        const nn::Capabilities::PerformanceInfo& quantized8Performance);
+
+// Indicates if the object contains no pointer-based data that could be relocated to shared memory.
+bool hasNoPointerData(const nn::Model& model);
+bool hasNoPointerData(const nn::Request& request);
+
+// Relocate pointer-based data to shared memory.
+nn::Result<nn::Model> flushDataFromPointerToShared(const nn::Model& model);
+nn::Result<nn::Request> flushDataFromPointerToShared(const nn::Request& request);
+
+// Undoes `flushDataFromPointerToShared` on a Request object. More specifically,
+// `unflushDataFromSharedToPointer` copies the output shared memory data from the transformed
+// Request object back to the output pointer-based memory in the original Request object.
+nn::Result<void> unflushDataFromSharedToPointer(const nn::Request& request,
+                                                const nn::Request& requestInShared);
+
+std::vector<uint32_t> countNumberOfConsumers(size_t numberOfOperands,
+                                             const std::vector<nn::Operation>& operations);
+
+}  // namespace android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H
diff --git a/neuralnetworks/utils/common/src/CommonUtils.cpp b/neuralnetworks/utils/common/src/CommonUtils.cpp
new file mode 100644
index 0000000..667189b
--- /dev/null
+++ b/neuralnetworks/utils/common/src/CommonUtils.cpp
@@ -0,0 +1,224 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * 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 "CommonUtils.h"
+
+#include <android-base/logging.h>
+#include <nnapi/Result.h>
+#include <nnapi/SharedMemory.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+#include <nnapi/Validation.h>
+
+#include <algorithm>
+#include <any>
+#include <optional>
+#include <variant>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+namespace {
+
+bool hasNoPointerData(const nn::Operand& operand);
+bool hasNoPointerData(const nn::Model::Subgraph& subgraph);
+bool hasNoPointerData(const nn::Request::Argument& argument);
+
+template <typename Type>
+bool hasNoPointerData(const std::vector<Type>& objects) {
+    return std::all_of(objects.begin(), objects.end(),
+                       [](const auto& object) { return hasNoPointerData(object); });
+}
+
+bool hasNoPointerData(const nn::DataLocation& location) {
+    return std::visit([](auto ptr) { return ptr == nullptr; }, location.pointer);
+}
+
+bool hasNoPointerData(const nn::Operand& operand) {
+    return hasNoPointerData(operand.location);
+}
+
+bool hasNoPointerData(const nn::Model::Subgraph& subgraph) {
+    return hasNoPointerData(subgraph.operands);
+}
+
+bool hasNoPointerData(const nn::Request::Argument& argument) {
+    return hasNoPointerData(argument.location);
+}
+
+void copyPointersToSharedMemory(nn::Operand* operand, nn::ConstantMemoryBuilder* memoryBuilder) {
+    CHECK(operand != nullptr);
+    CHECK(memoryBuilder != nullptr);
+
+    if (operand->lifetime != nn::Operand::LifeTime::POINTER) {
+        return;
+    }
+
+    const void* data = std::visit([](auto ptr) { return static_cast<const void*>(ptr); },
+                                  operand->location.pointer);
+    CHECK(data != nullptr);
+    operand->lifetime = nn::Operand::LifeTime::CONSTANT_REFERENCE;
+    operand->location = memoryBuilder->append(data, operand->location.length);
+}
+
+void copyPointersToSharedMemory(nn::Model::Subgraph* subgraph,
+                                nn::ConstantMemoryBuilder* memoryBuilder) {
+    CHECK(subgraph != nullptr);
+    std::for_each(subgraph->operands.begin(), subgraph->operands.end(),
+                  [memoryBuilder](auto& operand) {
+                      copyPointersToSharedMemory(&operand, memoryBuilder);
+                  });
+}
+
+}  // anonymous namespace
+
+nn::Capabilities::OperandPerformanceTable makeQuantized8PerformanceConsistentWithP(
+        const nn::Capabilities::PerformanceInfo& float32Performance,
+        const nn::Capabilities::PerformanceInfo& quantized8Performance) {
+    // In Android P, most data types are treated as having the same performance as
+    // TENSOR_QUANT8_ASYMM. This collection must be in sorted order.
+    std::vector<nn::Capabilities::OperandPerformance> operandPerformances = {
+            {.type = nn::OperandType::FLOAT32, .info = float32Performance},
+            {.type = nn::OperandType::INT32, .info = quantized8Performance},
+            {.type = nn::OperandType::UINT32, .info = quantized8Performance},
+            {.type = nn::OperandType::TENSOR_FLOAT32, .info = float32Performance},
+            {.type = nn::OperandType::TENSOR_INT32, .info = quantized8Performance},
+            {.type = nn::OperandType::TENSOR_QUANT8_ASYMM, .info = quantized8Performance},
+            {.type = nn::OperandType::OEM, .info = quantized8Performance},
+            {.type = nn::OperandType::TENSOR_OEM_BYTE, .info = quantized8Performance},
+    };
+    return nn::Capabilities::OperandPerformanceTable::create(std::move(operandPerformances))
+            .value();
+}
+
+bool hasNoPointerData(const nn::Model& model) {
+    return hasNoPointerData(model.main) && hasNoPointerData(model.referenced);
+}
+
+bool hasNoPointerData(const nn::Request& request) {
+    return hasNoPointerData(request.inputs) && hasNoPointerData(request.outputs);
+}
+
+nn::Result<nn::Model> flushDataFromPointerToShared(const nn::Model& model) {
+    auto modelInShared = model;
+
+    nn::ConstantMemoryBuilder memoryBuilder(modelInShared.pools.size());
+    copyPointersToSharedMemory(&modelInShared.main, &memoryBuilder);
+    std::for_each(modelInShared.referenced.begin(), modelInShared.referenced.end(),
+                  [&memoryBuilder](auto& subgraph) {
+                      copyPointersToSharedMemory(&subgraph, &memoryBuilder);
+                  });
+
+    if (!memoryBuilder.empty()) {
+        auto memory = NN_TRY(memoryBuilder.finish());
+        modelInShared.pools.push_back(std::move(memory));
+    }
+
+    return modelInShared;
+}
+
+nn::Result<nn::Request> flushDataFromPointerToShared(const nn::Request& request) {
+    auto requestInShared = request;
+
+    // Change input pointers to shared memory.
+    nn::ConstantMemoryBuilder inputBuilder(requestInShared.pools.size());
+    for (auto& input : requestInShared.inputs) {
+        const auto& location = input.location;
+        if (input.lifetime != nn::Request::Argument::LifeTime::POINTER) {
+            continue;
+        }
+
+        input.lifetime = nn::Request::Argument::LifeTime::POOL;
+        const void* data = std::visit([](auto ptr) { return static_cast<const void*>(ptr); },
+                                      location.pointer);
+        CHECK(data != nullptr);
+        input.location = inputBuilder.append(data, location.length);
+    }
+
+    // Allocate input memory.
+    if (!inputBuilder.empty()) {
+        auto memory = NN_TRY(inputBuilder.finish());
+        requestInShared.pools.push_back(std::move(memory));
+    }
+
+    // Change output pointers to shared memory.
+    nn::MutableMemoryBuilder outputBuilder(requestInShared.pools.size());
+    for (auto& output : requestInShared.outputs) {
+        const auto& location = output.location;
+        if (output.lifetime != nn::Request::Argument::LifeTime::POINTER) {
+            continue;
+        }
+
+        output.lifetime = nn::Request::Argument::LifeTime::POOL;
+        output.location = outputBuilder.append(location.length);
+    }
+
+    // Allocate output memory.
+    if (!outputBuilder.empty()) {
+        auto memory = NN_TRY(outputBuilder.finish());
+        requestInShared.pools.push_back(std::move(memory));
+    }
+
+    return requestInShared;
+}
+
+nn::Result<void> unflushDataFromSharedToPointer(const nn::Request& request,
+                                                const nn::Request& requestInShared) {
+    if (requestInShared.pools.empty() ||
+        !std::holds_alternative<nn::Memory>(requestInShared.pools.back())) {
+        return {};
+    }
+
+    // Map the memory.
+    const auto& outputMemory = std::get<nn::Memory>(requestInShared.pools.back());
+    const auto [pointer, size, context] = NN_TRY(map(outputMemory));
+    const uint8_t* constantPointer =
+            std::visit([](const auto& o) { return static_cast<const uint8_t*>(o); }, pointer);
+
+    // Flush each output pointer.
+    CHECK_EQ(request.outputs.size(), requestInShared.outputs.size());
+    for (size_t i = 0; i < request.outputs.size(); ++i) {
+        const auto& location = request.outputs[i].location;
+        const auto& locationInShared = requestInShared.outputs[i].location;
+        if (!std::holds_alternative<void*>(location.pointer)) {
+            continue;
+        }
+
+        // Get output pointer and size.
+        void* data = std::get<void*>(location.pointer);
+        CHECK(data != nullptr);
+        const size_t length = location.length;
+
+        // Get output pool location.
+        CHECK(requestInShared.outputs[i].lifetime == nn::Request::Argument::LifeTime::POOL);
+        const size_t index = locationInShared.poolIndex;
+        const size_t offset = locationInShared.offset;
+        const size_t outputPoolIndex = requestInShared.pools.size() - 1;
+        CHECK(locationInShared.length == length);
+        CHECK(index == outputPoolIndex);
+
+        // Flush memory.
+        std::memcpy(data, constantPointer + offset, length);
+    }
+
+    return {};
+}
+
+std::vector<uint32_t> countNumberOfConsumers(size_t numberOfOperands,
+                                             const std::vector<nn::Operation>& operations) {
+    return nn::countNumberOfConsumers(numberOfOperands, operations);
+}
+
+}  // namespace android::hardware::neuralnetworks::utils