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Add runtime/kernel test (#3954)
Summary: Migrate operator_registry_test, kernel_runtime_context_test, operator_registry_max_kernel_num_test. TODO: Migrate kernel_double_registration_test and test_kernel_manual_registration. It requires setting up new specialized ops library target. Pull Request resolved: #3954 Test Plan: `sh test/run_oss_cpp_tests.sh runtime/kernel/test/` Reviewed By: shoumikhin Differential Revision: D58476276 Pulled By: kirklandsign fbshipit-source-id: fd61f13fe41cf6abc5937e1aeff66d2f6e690475
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3 files changed

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‎runtime/kernel/test/CMakeLists.txt

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,65 @@
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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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# This file should be formatted with
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# ~~~
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# cmake-format -i CMakeLists.txt
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# ~~~
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# It should also be cmake-lint clean.
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#
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cmake_minimum_required(VERSION 3.19)
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project(runtime_kernel_test)
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# Use C++17 for test.
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set(CMAKE_CXX_STANDARD 17)
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set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../..)
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include(${EXECUTORCH_ROOT}/build/Test.cmake)
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add_executable(operator_registry_test operator_registry_test.cpp)
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target_link_libraries(
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operator_registry_test GTest::gtest GTest::gtest_main GTest::gmock executorch
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)
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target_include_directories(operator_registry_test PRIVATE ${EXECUTORCH_ROOT}/..)
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add_test(ExecuTorchTest operator_registry_test)
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add_executable(kernel_runtime_context_test kernel_runtime_context_test.cpp)
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target_link_libraries(
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kernel_runtime_context_test GTest::gtest GTest::gtest_main GTest::gmock
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executorch
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)
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target_include_directories(
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kernel_runtime_context_test PRIVATE ${EXECUTORCH_ROOT}/..
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)
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add_test(ExecuTorchTest kernel_runtime_context_test)
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add_executable(
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operator_registry_max_kernel_num_test
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operator_registry_max_kernel_num_test.cpp
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../operator_registry.cpp
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../../core/evalue.cpp
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../../platform/abort.cpp
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../../platform/log.cpp
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../../platform/runtime.cpp
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../../platform/target/Posix.cpp
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)
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target_link_libraries(
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operator_registry_max_kernel_num_test GTest::gtest GTest::gtest_main
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GTest::gmock
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)
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target_compile_definitions(
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operator_registry_max_kernel_num_test PRIVATE "-DMAX_KERNEL_NUM=1"
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)
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target_include_directories(
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operator_registry_max_kernel_num_test PRIVATE ${EXECUTORCH_ROOT}/..
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)
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add_test(ExecuTorchTest operator_registry_max_kernel_num_test)
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# TODO: Migrate kernel_double_registration_test and
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# test_kernel_manual_registration. Make sure dtype selective build is working.

‎runtime/kernel/test/operator_registry_test.cpp

Lines changed: 20 additions & 20 deletions
Original file line numberDiff line numberDiff line change
@@ -112,12 +112,12 @@ TEST_F(OperatorRegistryTest, RegisterTwoKernels) {
112112
make_kernel_key({{ScalarType::Float, {0, 1, 2, 3}}}, buf_float_contiguous);
113113
KernelKey key_2 = KernelKey(buf_float_contiguous);
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Kernel kernel_1 =
115-
Kernel("test::boo", key_1, [](RuntimeContext& context, EValue** stack) {
115+
Kernel("test::bar", key_1, [](RuntimeContext& context, EValue** stack) {
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(void)context;
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*(stack[0]) = Scalar(100);
118118
});
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Kernel kernel_2 =
120-
Kernel("test::boo", key_2, [](RuntimeContext& context, EValue** stack) {
120+
Kernel("test::bar", key_2, [](RuntimeContext& context, EValue** stack) {
121121
(void)context;
122122
*(stack[0]) = Scalar(50);
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});
@@ -132,11 +132,11 @@ TEST_F(OperatorRegistryTest, RegisterTwoKernels) {
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TensorMeta meta_2[] = {TensorMeta(ScalarType::Float, dim_order_type)};
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ArrayRef<TensorMeta> user_kernel_key_2 = ArrayRef<TensorMeta>(meta_2, 1);
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135-
EXPECT_TRUE(hasOpsFn("test::boo", user_kernel_key_1));
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EXPECT_TRUE(hasOpsFn("test::boo", user_kernel_key_2));
135+
EXPECT_TRUE(hasOpsFn("test::bar", user_kernel_key_1));
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EXPECT_TRUE(hasOpsFn("test::bar", user_kernel_key_2));
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138138
// no fallback kernel is registered
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EXPECT_FALSE(hasOpsFn("test::boo", {}));
139+
EXPECT_FALSE(hasOpsFn("test::bar", {}));
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141141
EValue values[1];
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values[0] = Scalar(0);
@@ -145,15 +145,15 @@ TEST_F(OperatorRegistryTest, RegisterTwoKernels) {
145145
RuntimeContext context{};
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147147
// test kernel_1
148-
OpFunction func_1 = getOpsFn("test::boo", user_kernel_key_1);
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OpFunction func_1 = getOpsFn("test::bar", user_kernel_key_1);
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func_1(context, evalues);
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151151
auto val_1 = values[0].toScalar().to<int64_t>();
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ASSERT_EQ(val_1, 100);
153153

154154
// test kernel_2
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values[0] = Scalar(0);
156-
OpFunction func_2 = getOpsFn("test::boo", user_kernel_key_2);
156+
OpFunction func_2 = getOpsFn("test::bar", user_kernel_key_2);
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func_2(context, evalues);
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159159
auto val_2 = values[0].toScalar().to<int64_t>();
@@ -166,12 +166,12 @@ TEST_F(OperatorRegistryTest, DoubleRegisterKernelsDies) {
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KernelKey key = KernelKey(buf_long_contiguous);
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Kernel kernel_1 =
169-
Kernel("test::boo", key, [](RuntimeContext& context, EValue** stack) {
169+
Kernel("test::baz", key, [](RuntimeContext& context, EValue** stack) {
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(void)context;
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*(stack[0]) = Scalar(100);
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});
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Kernel kernel_2 =
174-
Kernel("test::boo", key, [](RuntimeContext& context, EValue** stack) {
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Kernel("test::baz", key, [](RuntimeContext& context, EValue** stack) {
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(void)context;
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*(stack[0]) = Scalar(50);
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});
@@ -187,7 +187,7 @@ TEST_F(OperatorRegistryTest, ExecutorChecksKernel) {
187187
KernelKey key = KernelKey(buf_long_contiguous);
188188

189189
Kernel kernel_1 =
190-
Kernel("test::boo", key, [](RuntimeContext& context, EValue** stack) {
190+
Kernel("test::qux", key, [](RuntimeContext& context, EValue** stack) {
191191
(void)context;
192192
*(stack[0]) = Scalar(100);
193193
});
@@ -198,7 +198,7 @@ TEST_F(OperatorRegistryTest, ExecutorChecksKernel) {
198198
auto dim_order_type = ArrayRef<Tensor::DimOrderType>(dims, 4);
199199
TensorMeta meta[] = {TensorMeta(ScalarType::Long, dim_order_type)};
200200
ArrayRef<TensorMeta> user_kernel_key_1 = ArrayRef<TensorMeta>(meta, 1);
201-
EXPECT_TRUE(hasOpsFn("test::boo", user_kernel_key_1));
201+
EXPECT_TRUE(hasOpsFn("test::qux", user_kernel_key_1));
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203203
Tensor::DimOrderType dims_channel_first[] = {0, 3, 1, 2};
204204
auto dim_order_type_channel_first =
@@ -207,11 +207,11 @@ TEST_F(OperatorRegistryTest, ExecutorChecksKernel) {
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TensorMeta(ScalarType::Long, dim_order_type_channel_first)};
208208
ArrayRef<TensorMeta> user_kernel_key_2 =
209209
ArrayRef<TensorMeta>(meta_channel_first, 1);
210-
EXPECT_FALSE(hasOpsFn("test::boo", user_kernel_key_2));
210+
EXPECT_FALSE(hasOpsFn("test::qux", user_kernel_key_2));
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212212
TensorMeta meta_float[] = {TensorMeta(ScalarType::Float, dim_order_type)};
213213
ArrayRef<TensorMeta> user_kernel_key_3 = ArrayRef<TensorMeta>(meta_float, 1);
214-
EXPECT_FALSE(hasOpsFn("test::boo", ArrayRef<TensorMeta>(user_kernel_key_3)));
214+
EXPECT_FALSE(hasOpsFn("test::qux", ArrayRef<TensorMeta>(user_kernel_key_3)));
215215
}
216216

217217
TEST_F(OperatorRegistryTest, ExecutorUsesKernel) {
@@ -220,7 +220,7 @@ TEST_F(OperatorRegistryTest, ExecutorUsesKernel) {
220220
KernelKey key = KernelKey(buf_long_contiguous);
221221

222222
Kernel kernel_1 =
223-
Kernel("test::boo", key, [](RuntimeContext& context, EValue** stack) {
223+
Kernel("test::quux", key, [](RuntimeContext& context, EValue** stack) {
224224
(void)context;
225225
*(stack[0]) = Scalar(100);
226226
});
@@ -231,9 +231,9 @@ TEST_F(OperatorRegistryTest, ExecutorUsesKernel) {
231231
auto dim_order_type = ArrayRef<Tensor::DimOrderType>(dims, 4);
232232
TensorMeta meta[] = {TensorMeta(ScalarType::Long, dim_order_type)};
233233
ArrayRef<TensorMeta> user_kernel_key_1 = ArrayRef<TensorMeta>(meta, 1);
234-
EXPECT_TRUE(hasOpsFn("test::boo", ArrayRef<TensorMeta>(meta)));
234+
EXPECT_TRUE(hasOpsFn("test::quux", ArrayRef<TensorMeta>(meta)));
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236-
OpFunction func = getOpsFn("test::boo", ArrayRef<TensorMeta>(meta));
236+
OpFunction func = getOpsFn("test::quux", ArrayRef<TensorMeta>(meta));
237237

238238
EValue values[1];
239239
values[0] = Scalar(0);
@@ -248,17 +248,17 @@ TEST_F(OperatorRegistryTest, ExecutorUsesKernel) {
248248

249249
TEST_F(OperatorRegistryTest, ExecutorUsesFallbackKernel) {
250250
Kernel kernel_1 = Kernel(
251-
"test::boo", KernelKey{}, [](RuntimeContext& context, EValue** stack) {
251+
"test::corge", KernelKey{}, [](RuntimeContext& context, EValue** stack) {
252252
(void)context;
253253
*(stack[0]) = Scalar(100);
254254
});
255255
auto s1 = register_kernels({kernel_1});
256256
EXPECT_EQ(s1, torch::executor::Error::Ok);
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258-
EXPECT_TRUE(hasOpsFn("test::boo"));
259-
EXPECT_TRUE(hasOpsFn("test::boo", ArrayRef<TensorMeta>()));
258+
EXPECT_TRUE(hasOpsFn("test::corge"));
259+
EXPECT_TRUE(hasOpsFn("test::corge", ArrayRef<TensorMeta>()));
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261-
OpFunction func = getOpsFn("test::boo", ArrayRef<TensorMeta>());
261+
OpFunction func = getOpsFn("test::corge", ArrayRef<TensorMeta>());
262262

263263
EValue values[1];
264264
values[0] = Scalar(0);

‎runtime/kernel/test/targets.bzl

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@@ -37,18 +37,6 @@ def define_common_targets():
3737
define_static_targets = True,
3838
)
3939

40-
executorch_generated_lib(
41-
name = "test_generated_lib_1",
42-
deps = [
43-
":executorch_all_ops",
44-
"//executorch/kernels/portable:operators",
45-
],
46-
functions_yaml_target = "//executorch/kernels/portable:functions.yaml",
47-
visibility = [
48-
"//executorch/...",
49-
],
50-
)
51-
5240
runtime.export_file(
5341
name = "functions.yaml",
5442
)

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