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Xnnpack test for program-data separation
Pull Request resolved: #10532 Add xnnpack test for program-data separation ghstack-source-id: 282463590 @exported-using-ghexport Differential Revision: [D73794695](https://our.internmc.facebook.com/intern/diff/D73794695/)
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‎backends/xnnpack/test/runtime/test_xnn_data_separation.cpp‎

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/*
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* Copyright (c) Meta Platforms, Inc. and affiliates.
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* All rights reserved.
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*
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* This source code is licensed under the BSD-style license found in the
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* LICENSE file in the root directory of this source tree.
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*/
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#include <executorch/extension/data_loader/file_data_loader.h>
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#include <executorch/extension/flat_tensor/flat_tensor_data_map.h>
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#include <executorch/runtime/core/error.h>
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#include <executorch/runtime/core/result.h>
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#include <executorch/runtime/executor/method.h>
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#include <executorch/runtime/executor/program.h>
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#include <executorch/runtime/executor/test/managed_memory_manager.h>
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#include <executorch/runtime/platform/runtime.h>
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#include <gtest/gtest.h>
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using namespace ::testing;
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using executorch::extension::FlatTensorDataMap;
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using executorch::runtime::DataLoader;
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using executorch::runtime::Error;
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using executorch::runtime::FreeableBuffer;
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using executorch::runtime::Method;
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using executorch::runtime::Program;
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using executorch::runtime::Result;
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using executorch::runtime::testing::ManagedMemoryManager;
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using torch::executor::util::FileDataLoader;
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constexpr size_t kDefaultNonConstMemBytes = 32 * 1024U;
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constexpr size_t kDefaultRuntimeMemBytes = 32 * 1024U;
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class DataSeparationTest : public ::testing::Test {
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protected:
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void SetUp() override {
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// Since these tests cause ET_LOG to be called, the PAL must be initialized
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// first.
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executorch::runtime::runtime_init();
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// Create data loaders.
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Result<FileDataLoader> linear_program_loader =
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FileDataLoader::from(std::getenv("ET_MODULE_LINEAR_XNN_PROGRAM_PATH"));
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ASSERT_EQ(linear_program_loader.error(), Error::Ok);
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linear_program_loader_ = std::make_unique<FileDataLoader>(
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std::move(linear_program_loader.get()));
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Result<FileDataLoader> linear_data_loader =
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FileDataLoader::from(std::getenv("ET_MODULE_LINEAR_XNN_DATA_PATH"));
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ASSERT_EQ(linear_data_loader.error(), Error::Ok);
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linear_data_loader_ =
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std::make_unique<FileDataLoader>(std::move(linear_data_loader.get()));
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// Create programs.
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Result<Program> linear_program = Program::load(
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linear_program_loader_.get(),
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Program::Verification::InternalConsistency);
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ASSERT_EQ(linear_program.error(), Error::Ok);
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linear_program_ =
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std::make_unique<Program>(std::move(linear_program.get()));
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Result<FlatTensorDataMap> linear_data_map =
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FlatTensorDataMap::load(linear_data_loader_.get());
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EXPECT_EQ(linear_data_map.error(), Error::Ok);
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linear_data_map_ =
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std::make_unique<FlatTensorDataMap>(std::move(linear_data_map.get()));
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}
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private:
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std::unique_ptr<FileDataLoader> linear_program_loader_;
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std::unique_ptr<FileDataLoader> linear_data_loader_;
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protected:
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std::unique_ptr<Program> linear_program_;
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std::unique_ptr<FlatTensorDataMap> linear_data_map_;
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};
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TEST_F(DataSeparationTest, TestExternalData) {
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FlatTensorDataMap* data_map = linear_data_map_.get();
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EXPECT_EQ(data_map->get_num_keys().get(), 2);
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Result<const char*> key0 = data_map->get_key(0);
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EXPECT_EQ(key0.error(), Error::Ok);
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Result<const char*> key1 = data_map->get_key(1);
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EXPECT_EQ(key1.error(), Error::Ok);
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// Check that accessing keys out of bounds fails.
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EXPECT_EQ(data_map->get_key(2).error(), Error::InvalidArgument);
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// Linear.weight
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Result<FreeableBuffer> data0 = data_map->get_data(key0.get());
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EXPECT_EQ(data0.error(), Error::Ok);
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EXPECT_EQ(data0.get().size(), 36); // 3*3*4 (3*3 matrix, 4 bytes per float)
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// Linear.bias
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Result<FreeableBuffer> data1 = data_map->get_data(key1.get());
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EXPECT_EQ(data1.error(), Error::Ok);
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EXPECT_EQ(data1.get().size(), 12); // 3*4 (3 vector, 4 bytes per float)
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// Check that accessing non-existent data fails.
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Result<FreeableBuffer> data2 = data_map->get_data("nonexistent");
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EXPECT_EQ(data2.error(), Error::NotFound);
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}
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TEST_F(DataSeparationTest, TestE2E) {
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ManagedMemoryManager mmm(kDefaultNonConstMemBytes, kDefaultRuntimeMemBytes);
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Result<Method> method = linear_program_->load_method(
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"forward", &mmm.get(), nullptr, linear_data_map_.get());
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ASSERT_EQ(method.error(), Error::Ok);
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// Can execute the method.
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Error err = method->execute();
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ASSERT_EQ(err, Error::Ok);
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}

‎backends/xnnpack/test/targets.bzl‎

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"//executorch/schema:program",
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],
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)
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runtime.cxx_test(
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name = "test_xnn_data_separation",
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srcs = ["runtime/test_xnn_data_separation.cpp"],
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deps = [
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"//executorch/runtime/executor/test:managed_memory_manager",
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"//executorch/runtime/executor:program",
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"//executorch/extension/data_loader:file_data_loader",
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"//executorch/backends/xnnpack:xnnpack_backend",
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"//executorch/extension/flat_tensor:flat_tensor_data_map",
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],
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env = {
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# The tests use these vars to find the program files to load.
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# Uses an fbcode target path because the authoring/export tools
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# intentionally don't work in xplat (since they're host-only
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# tools).
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"ET_MODULE_LINEAR_XNN_PROGRAM_PATH": "$(location fbcode//executorch/test/models:exported_xnnpack_program_and_data[ModuleLinear-e.pte])",
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"ET_MODULE_LINEAR_XNN_DATA_PATH": "$(location fbcode//executorch/test/models:exported_xnnpack_program_and_data[ModuleLinear.ptd])",
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},
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)

‎test/models/targets.bzl‎

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"ModuleLinear",
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"ModuleSimpleTrain",
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]
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runtime.genrule(
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name = "exported_program_and_data",
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cmd = "$(exe :export_program) --modules " + ",".join(MODULES_AND_DATA_TO_EXPORT) + " --external-constants --outdir $OUT",
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runtime.genrule(
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name = "exported_xnnpack_program_and_data",
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cmd = "$(exe :export_delegated_program)" +
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" --modules ModuleLinear" +
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" --modules ModuleLinear" +
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" --backend_id XnnpackBackend" +
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" --external_constants" +
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" --outdir $OUT",
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outs = {
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"ModuleLinear-e.pte": ["ModuleLinear-e.pte"],
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"ModuleLinear.ptd": ["ModuleLinear.ptd"],
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},
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default_outs = ["."],
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visibility = [
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"//executorch/runtime/executor/test/...",
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"//executorch/backends/xnnpack/test/...",
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"//executorch/test/...",
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],
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)
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runtime.genrule(
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name = "exported_executor_backend_program_and_data",
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cmd = "$(exe :export_delegated_program)" +
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" --modules ModuleLinear" +
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" --modules ModuleLinear" +
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" --backend_id ExecutorBackend" +
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" --external_constants" +
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" --outdir $OUT",
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outs = {
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"ModuleLinear-e.pte": ["ModuleLinear-e.pte"],
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},

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