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authorSlava Shklyaev <slavash@google.com>2020-02-25 18:06:17 +0000
committerSlava Shklyaev <slavash@google.com>2020-03-13 13:45:48 +0000
commitc471d0bd1e548510950ded7d96e87ca2bb284806 (patch)
tree2978e983c25a285e50874f1bd69e00edbbcaabcf
parente35c319cb5bf99831dfaaa2f299120b501764daa (diff)
downloadml-c471d0bd1e548510950ded7d96e87ca2bb284806.tar.gz
Handle constant IF condition operands
Bug: 136735929 Test: NNT_static Change-Id: I2d688b3eac19a09cbbc1fbf423af8493aede26f1 Merged-In: I2d688b3eac19a09cbbc1fbf423af8493aede26f1 (cherry picked from commit 70db3a1bcd317174caa04aa879405984d88df5d9)
-rw-r--r--nn/runtime/ExecutionPlan.cpp2
-rw-r--r--nn/runtime/test/generated/spec_V1_3/if_constant.example.cpp746
-rw-r--r--nn/runtime/test/specs/V1_3/if_constant.mod.py59
3 files changed, 806 insertions, 1 deletions
diff --git a/nn/runtime/ExecutionPlan.cpp b/nn/runtime/ExecutionPlan.cpp
index 508e419d7..3f1932793 100644
--- a/nn/runtime/ExecutionPlan.cpp
+++ b/nn/runtime/ExecutionPlan.cpp
@@ -684,6 +684,7 @@ void ExecutionPlan::CompoundBody::findControlFlowBoundaryConstants(
};
for (const auto& logicalStep : mSteps) {
if (const IfStep* step = logicalStep->tryIfStep()) {
+ handleBoundaryConstants(step->conditionOperandIndex);
for (const auto& sourceOperandIndex : step->outerInputOperands) {
handleBoundaryConstants(sourceOperandIndex);
}
@@ -993,7 +994,6 @@ void* ExecutionPlan::getBuffer(std::shared_ptr<Controller> controller,
const auto& sourceOperandToOffsetOfTemporary = controller->mSourceOperandToOffsetOfTemporary;
const auto& sourceOperandToInputIndex = controller->mSourceOperandToInputIndex;
const auto& sourceOperandToOutputIndex = controller->mSourceOperandToOutputIndex;
- // TODO: Handle CONSTANT_* operands that are not on a partition boundary.
if (auto it = sourceOperandToOffsetOfTemporary.find(operandIndex);
it != sourceOperandToOffsetOfTemporary.end()) {
const uint32_t offset = it->second;
diff --git a/nn/runtime/test/generated/spec_V1_3/if_constant.example.cpp b/nn/runtime/test/generated/spec_V1_3/if_constant.example.cpp
new file mode 100644
index 000000000..813a96db1
--- /dev/null
+++ b/nn/runtime/test/generated/spec_V1_3/if_constant.example.cpp
@@ -0,0 +1,746 @@
+// Generated from if_constant.mod.py
+// DO NOT EDIT
+// clang-format off
+#include "TestHarness.h"
+using namespace test_helper;
+
+namespace generated_tests::if_constant {
+
+const TestModel& get_test_model_copy_true() {
+ static TestModel model = {
+ .expectFailure = false,
+ .expectedMultinomialDistributionTolerance = 0,
+ .isRelaxed = false,
+ .main = {
+ .inputIndexes = {3, 4},
+ .operands = {{
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<bool8>({true}),
+ .dimensions = {1},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::CONSTANT_COPY,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_BOOL8,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<uint32_t>({0}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::SUBGRAPH,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<uint32_t>({1}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::SUBGRAPH,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({8.0f, 7.0f, 6.0f, 5.0f, 4.0f, 3.0f, 2.0f, 1.0f, 0.0f, -1.0f, -2.0f, -3.0f}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }},
+ .operations = {{
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ .type = TestOperationType::IF
+ }},
+ .outputIndexes = {5}
+ },
+ .minSupportedVersion = TestHalVersion::V1_3,
+ .referenced = {{
+ .inputIndexes = {0, 1},
+ .operands = {{
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<int32_t>({0}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::CONSTANT_COPY,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::INT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }},
+ .operations = {{
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ .type = TestOperationType::ADD
+ }},
+ .outputIndexes = {3}
+ }, {
+ .inputIndexes = {0, 1},
+ .operands = {{
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<int32_t>({0}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::CONSTANT_COPY,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::INT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }},
+ .operations = {{
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ .type = TestOperationType::SUB
+ }},
+ .outputIndexes = {3}
+ }}
+ };
+ return model;
+}
+
+const auto dummy_test_model_copy_true = TestModelManager::get().add("if_constant_copy_true", get_test_model_copy_true());
+
+} // namespace generated_tests::if_constant
+
+namespace generated_tests::if_constant {
+
+const TestModel& get_test_model_copy_false() {
+ static TestModel model = {
+ .expectFailure = false,
+ .expectedMultinomialDistributionTolerance = 0,
+ .isRelaxed = false,
+ .main = {
+ .inputIndexes = {3, 4},
+ .operands = {{
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<bool8>({false}),
+ .dimensions = {1},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::CONSTANT_COPY,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_BOOL8,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<uint32_t>({0}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::SUBGRAPH,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<uint32_t>({1}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::SUBGRAPH,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({8.0f, 7.0f, 6.0f, 5.0f, 4.0f, 3.0f, 2.0f, 1.0f, 0.0f, -1.0f, -2.0f, -3.0f}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({-7.0f, -5.0f, -3.0f, -1.0f, 1.0f, 3.0f, 5.0f, 7.0f, 9.0f, 11.0f, 13.0f, 15.0f}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }},
+ .operations = {{
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ .type = TestOperationType::IF
+ }},
+ .outputIndexes = {5}
+ },
+ .minSupportedVersion = TestHalVersion::V1_3,
+ .referenced = {{
+ .inputIndexes = {0, 1},
+ .operands = {{
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<int32_t>({0}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::CONSTANT_COPY,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::INT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }},
+ .operations = {{
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ .type = TestOperationType::ADD
+ }},
+ .outputIndexes = {3}
+ }, {
+ .inputIndexes = {0, 1},
+ .operands = {{
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<int32_t>({0}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::CONSTANT_COPY,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::INT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }},
+ .operations = {{
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ .type = TestOperationType::SUB
+ }},
+ .outputIndexes = {3}
+ }}
+ };
+ return model;
+}
+
+const auto dummy_test_model_copy_false = TestModelManager::get().add("if_constant_copy_false", get_test_model_copy_false());
+
+} // namespace generated_tests::if_constant
+
+namespace generated_tests::if_constant {
+
+const TestModel& get_test_model_reference_true() {
+ static TestModel model = {
+ .expectFailure = false,
+ .expectedMultinomialDistributionTolerance = 0,
+ .isRelaxed = false,
+ .main = {
+ .inputIndexes = {3, 4},
+ .operands = {{
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<bool8>({true}),
+ .dimensions = {1},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::CONSTANT_REFERENCE,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_BOOL8,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<uint32_t>({0}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::SUBGRAPH,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<uint32_t>({1}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::SUBGRAPH,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({8.0f, 7.0f, 6.0f, 5.0f, 4.0f, 3.0f, 2.0f, 1.0f, 0.0f, -1.0f, -2.0f, -3.0f}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f, 9.0f}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }},
+ .operations = {{
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ .type = TestOperationType::IF
+ }},
+ .outputIndexes = {5}
+ },
+ .minSupportedVersion = TestHalVersion::V1_3,
+ .referenced = {{
+ .inputIndexes = {0, 1},
+ .operands = {{
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<int32_t>({0}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::CONSTANT_REFERENCE,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::INT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }},
+ .operations = {{
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ .type = TestOperationType::ADD
+ }},
+ .outputIndexes = {3}
+ }, {
+ .inputIndexes = {0, 1},
+ .operands = {{
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<int32_t>({0}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::CONSTANT_REFERENCE,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::INT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }},
+ .operations = {{
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ .type = TestOperationType::SUB
+ }},
+ .outputIndexes = {3}
+ }}
+ };
+ return model;
+}
+
+const auto dummy_test_model_reference_true = TestModelManager::get().add("if_constant_reference_true", get_test_model_reference_true());
+
+} // namespace generated_tests::if_constant
+
+namespace generated_tests::if_constant {
+
+const TestModel& get_test_model_reference_false() {
+ static TestModel model = {
+ .expectFailure = false,
+ .expectedMultinomialDistributionTolerance = 0,
+ .isRelaxed = false,
+ .main = {
+ .inputIndexes = {3, 4},
+ .operands = {{
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<bool8>({false}),
+ .dimensions = {1},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::CONSTANT_REFERENCE,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_BOOL8,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<uint32_t>({0}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::SUBGRAPH,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<uint32_t>({1}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::SUBGRAPH,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({8.0f, 7.0f, 6.0f, 5.0f, 4.0f, 3.0f, 2.0f, 1.0f, 0.0f, -1.0f, -2.0f, -3.0f}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({-7.0f, -5.0f, -3.0f, -1.0f, 1.0f, 3.0f, 5.0f, 7.0f, 9.0f, 11.0f, 13.0f, 15.0f}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }},
+ .operations = {{
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ .type = TestOperationType::IF
+ }},
+ .outputIndexes = {5}
+ },
+ .minSupportedVersion = TestHalVersion::V1_3,
+ .referenced = {{
+ .inputIndexes = {0, 1},
+ .operands = {{
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<int32_t>({0}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::CONSTANT_REFERENCE,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::INT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }},
+ .operations = {{
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ .type = TestOperationType::ADD
+ }},
+ .outputIndexes = {3}
+ }, {
+ .inputIndexes = {0, 1},
+ .operands = {{
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<int32_t>({0}),
+ .dimensions = {},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::CONSTANT_REFERENCE,
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .type = TestOperandType::INT32,
+ .zeroPoint = 0
+ }, {
+ .channelQuant = {},
+ .data = TestBuffer::createFromVector<float>({}),
+ .dimensions = {3, 4},
+ .isIgnored = false,
+ .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .type = TestOperandType::TENSOR_FLOAT32,
+ .zeroPoint = 0
+ }},
+ .operations = {{
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ .type = TestOperationType::SUB
+ }},
+ .outputIndexes = {3}
+ }}
+ };
+ return model;
+}
+
+const auto dummy_test_model_reference_false = TestModelManager::get().add("if_constant_reference_false", get_test_model_reference_false());
+
+} // namespace generated_tests::if_constant
+
diff --git a/nn/runtime/test/specs/V1_3/if_constant.mod.py b/nn/runtime/test/specs/V1_3/if_constant.mod.py
new file mode 100644
index 000000000..badf4476b
--- /dev/null
+++ b/nn/runtime/test/specs/V1_3/if_constant.mod.py
@@ -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.
+#
+
+# Model: z = if (value) then (x + y) else (x - y)
+# where value is a constant
+
+x_data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
+y_data = [8, 7, 6, 5, 4, 3, 2, 1, 0, -1, -2, -3]
+output_data = {
+ True: [x + y for (x, y) in zip(x_data, y_data)],
+ False: [x - y for (x, y) in zip(x_data, y_data)],
+}
+
+ValueType = ["TENSOR_FLOAT32", "{3, 4}"]
+BoolType = ["TENSOR_BOOL8", "{1}"]
+
+def MakeBranchModel(operation_name):
+ x = Input("x", ValueType)
+ y = Input("y", ValueType)
+ z = Output("z", ValueType)
+ return Model().Operation(operation_name, x, y, 0).To(z)
+
+def Test(value, name):
+ x = Input("x", ValueType)
+ y = Input("y", ValueType)
+ z = Output("z", ValueType)
+ cond = Parameter("cond", BoolType, [value])
+ then_model = MakeBranchModel("ADD")
+ else_model = MakeBranchModel("SUB")
+ model = Model().Operation("IF", cond, then_model, else_model, x, y).To(z)
+ example = Example({
+ x: x_data,
+ y: y_data,
+ z: output_data[value],
+ }, model=model, name=name)
+ example.DisableLifeTimeVariation()
+
+# CONSTANT_COPY
+Configuration.use_shm_for_weights = False
+Test(value=True, name="copy_true")
+Test(value=False, name="copy_false")
+
+# CONSTANT_REFERENCE
+Configuration.use_shm_for_weights = True
+Test(value=True, name="reference_true")
+Test(value=False, name="reference_false")