Create conversions to/from NNAPI canonical types
This CL creates the following primary sets of functions:
* V1_X::utils::convert(<canonical_type>) -- Converts a canonical type
to the corresponding HAL version type.
* nn::convert(<V1_X_HAL_type>) -- Converts a HAL version type to the
corresponding canonical type.
* neuralnetworks::utils::hasNoPointerData -- Indicates if the object
contains no pointer-based data that could be relocated to shared
memory.
* neuralnetworks::utils::flushDataFromPointerToShared -- Relocate
pointer-based data to shared memory.
* neuralnetworks::utils::unflushDataFromSharedToPointer -- 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.
It also introduces some other minor utility code, including
makeQuantized8PerformanceConsistentWithP, countNumberOfConsumers,
validate, valid, and validatedConvertToCanonical.
Bug: 160667419
Test: mma
Change-Id: I0732e658c1f4ed40cd122f1ca8581fb40b056757
Merged-In: I0732e658c1f4ed40cd122f1ca8581fb40b056757
(cherry picked from commit a685c3dbf4afb35d0a80488155ce2bde30c9d6e9)
diff --git a/neuralnetworks/1.0/utils/src/Assertions.cpp b/neuralnetworks/1.0/utils/src/Assertions.cpp
new file mode 100644
index 0000000..0f00951
--- /dev/null
+++ b/neuralnetworks/1.0/utils/src/Assertions.cpp
@@ -0,0 +1,122 @@
+/*
+ * 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 <android/hardware/neuralnetworks/1.0/types.h>
+#include <nnapi/OperandTypes.h>
+#include <nnapi/OperationTypes.h>
+#include <nnapi/Types.h>
+#include <type_traits>
+
+namespace {
+
+#define COMPARE_ENUMS_TYPES(lhsType, rhsType) \
+ static_assert( \
+ std::is_same_v< \
+ std::underlying_type_t<::android::hardware::neuralnetworks::V1_0::lhsType>, \
+ std::underlying_type_t<::android::nn::rhsType>>, \
+ "::android::hardware::neuralnetworks::V1_0::" #lhsType \
+ " does not have the same underlying type as ::android::nn::" #rhsType)
+
+COMPARE_ENUMS_TYPES(OperandType, OperandType);
+COMPARE_ENUMS_TYPES(OperationType, OperationType);
+COMPARE_ENUMS_TYPES(ErrorStatus, ErrorStatus);
+COMPARE_ENUMS_TYPES(OperandLifeTime, Operand::LifeTime);
+
+#undef COMPARE_ENUMS_TYPES
+
+#define COMPARE_ENUMS_FULL(lhsSymbol, rhsSymbol, lhsType, rhsType) \
+ static_assert( \
+ static_cast< \
+ std::underlying_type_t<::android::hardware::neuralnetworks::V1_0::lhsType>>( \
+ ::android::hardware::neuralnetworks::V1_0::lhsType::lhsSymbol) == \
+ static_cast<std::underlying_type_t<::android::nn::rhsType>>( \
+ ::android::nn::rhsType::rhsSymbol), \
+ "::android::hardware::neuralnetworks::V1_0::" #lhsType "::" #lhsSymbol \
+ " does not match ::android::nn::" #rhsType "::" #rhsSymbol)
+
+#define COMPARE_ENUMS(symbol) COMPARE_ENUMS_FULL(symbol, symbol, OperandType, OperandType)
+
+COMPARE_ENUMS(FLOAT32);
+COMPARE_ENUMS(INT32);
+COMPARE_ENUMS(UINT32);
+COMPARE_ENUMS(TENSOR_FLOAT32);
+COMPARE_ENUMS(TENSOR_INT32);
+COMPARE_ENUMS(TENSOR_QUANT8_ASYMM);
+COMPARE_ENUMS(OEM);
+COMPARE_ENUMS(TENSOR_OEM_BYTE);
+
+#undef COMPARE_ENUMS
+
+#define COMPARE_ENUMS(symbol) COMPARE_ENUMS_FULL(symbol, symbol, OperationType, OperationType)
+
+COMPARE_ENUMS(ADD);
+COMPARE_ENUMS(AVERAGE_POOL_2D);
+COMPARE_ENUMS(CONCATENATION);
+COMPARE_ENUMS(CONV_2D);
+COMPARE_ENUMS(DEPTHWISE_CONV_2D);
+COMPARE_ENUMS(DEPTH_TO_SPACE);
+COMPARE_ENUMS(DEQUANTIZE);
+COMPARE_ENUMS(EMBEDDING_LOOKUP);
+COMPARE_ENUMS(FLOOR);
+COMPARE_ENUMS(FULLY_CONNECTED);
+COMPARE_ENUMS(HASHTABLE_LOOKUP);
+COMPARE_ENUMS(L2_NORMALIZATION);
+COMPARE_ENUMS(L2_POOL_2D);
+COMPARE_ENUMS(LOCAL_RESPONSE_NORMALIZATION);
+COMPARE_ENUMS(LOGISTIC);
+COMPARE_ENUMS(LSH_PROJECTION);
+COMPARE_ENUMS(LSTM);
+COMPARE_ENUMS(MAX_POOL_2D);
+COMPARE_ENUMS(MUL);
+COMPARE_ENUMS(RELU);
+COMPARE_ENUMS(RELU1);
+COMPARE_ENUMS(RELU6);
+COMPARE_ENUMS(RESHAPE);
+COMPARE_ENUMS(RESIZE_BILINEAR);
+COMPARE_ENUMS(RNN);
+COMPARE_ENUMS(SOFTMAX);
+COMPARE_ENUMS(SPACE_TO_DEPTH);
+COMPARE_ENUMS(SVDF);
+COMPARE_ENUMS(TANH);
+COMPARE_ENUMS(OEM_OPERATION);
+
+#undef COMPARE_ENUMS
+
+#define COMPARE_ENUMS(symbol) COMPARE_ENUMS_FULL(symbol, symbol, ErrorStatus, ErrorStatus)
+
+COMPARE_ENUMS(NONE);
+COMPARE_ENUMS(DEVICE_UNAVAILABLE);
+COMPARE_ENUMS(GENERAL_FAILURE);
+COMPARE_ENUMS(OUTPUT_INSUFFICIENT_SIZE);
+COMPARE_ENUMS(INVALID_ARGUMENT);
+
+#undef COMPARE_ENUMS
+
+#define COMPARE_ENUMS(lhsSymbol, rhsSymbol) \
+ COMPARE_ENUMS_FULL(lhsSymbol, rhsSymbol, OperandLifeTime, Operand::LifeTime)
+
+COMPARE_ENUMS(TEMPORARY_VARIABLE, TEMPORARY_VARIABLE);
+COMPARE_ENUMS(MODEL_INPUT, SUBGRAPH_INPUT);
+COMPARE_ENUMS(MODEL_OUTPUT, SUBGRAPH_OUTPUT);
+COMPARE_ENUMS(CONSTANT_COPY, CONSTANT_COPY);
+COMPARE_ENUMS(CONSTANT_REFERENCE, CONSTANT_REFERENCE);
+COMPARE_ENUMS(NO_VALUE, NO_VALUE);
+
+#undef COMPARE_ENUMS
+
+#undef COMPARE_ENUMS_FULL
+
+} // anonymous namespace