AIDL interface changes for NNAPI feature level 6.

- Add BATCH_MATMUL operation
- Support TENSOR_INT32 for RESHAPE operation.

Also update "current" version snapshot and use
android.hardware.neuralnetworks-V2-ndk since AIDL v1 has been frozen.

Bug: 193012662
Bug: 200281183
Test: mm
Change-Id: Iabe45c57e2306d61055f711eda03b80b9cbe906d
Merged-In: Iabe45c57e2306d61055f711eda03b80b9cbe906d

compatibility_matrices/compatibility_matrix.current.xml

@@ -396,6 +396,7 @@
     </hal>
     <hal format="aidl" optional="true">
         <name>android.hardware.neuralnetworks</name>
+        <version>1-2</version>
         <interface>
             <name>IDevice</name>
             <regex-instance>.*</regex-instance>

neuralnetworks/1.3/vts/functional/Android.bp

@@ -66,7 +66,7 @@ cc_test {
         "VtsHalNeuralNetworksV1_0_utils",
         "VtsHalNeuralNetworksV1_2_utils",
         "VtsHalNeuralNetworksV1_3_utils",
-        "android.hardware.neuralnetworks-V1-ndk",
+        "android.hardware.neuralnetworks-V2-ndk",
         "android.hardware.neuralnetworks@1.0",
         "android.hardware.neuralnetworks@1.1",
         "android.hardware.neuralnetworks@1.2",

neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperationType.aidl

@@ -136,4 +136,5 @@ enum OperationType {
   HARD_SWISH = 99,
   FILL = 100,
   RANK = 101,
+  BATCH_MATMUL = 102,
 }

neuralnetworks/aidl/android/hardware/neuralnetworks/OperationType.aidl

@@ -1471,6 +1471,7 @@ enum OperationType {
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     * * {@link OperandType::TENSOR_INT32} (since NNAPI feature level 6)
      *
      * Supported tensor rank: up to 4.
      *
@@ -5236,4 +5237,40 @@ enum OperationType {
      *      of the input tensor.
      */
     RANK = 101,
+
+    /**
+     * Performs multiplication of two tensors in batches.
+     *
+     * Multiplies all slices of two input tensors and arranges the individual
+     * results in a single output tensor of the same batch size. Each pair of
+     * slices in the same batch have identical {@link OperandType}. Each
+     * slice can optionally be adjointed (transpose and conjugate) before
+     * multiplication.
+     *
+     * The two input tensors and the output tensor must be 2-D or higher and
+     * have the same batch size.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     * * {@link OperandType::TENSOR_INT32}
+     *
+     * Supported tensor rank: at least 2 and up to 4
+     *
+     * Inputs:
+     * * 0: A tensor with 2-D or higher shape [..., r_x, c_x].
+     * * 1: A tensor with 2-D or higher shape [..., r_y, c_y]. It has the same
+     *      {@link OperandType} and batch size as input0.
+     * * 2: An optional {@link OperandType::BOOL} scalar adj_x, default
+     *      to false. Set to true to adjoint the slices of input0.
+     * * 3: An optional {@link OperandType::BOOL} scalar adj_y, default
+     *      to false. Set to true to adjoint the slices of input1.
+     *
+     * Outputs:
+     * * 0: A tensor with 2-D or higher shape [..., r_o, c_o], where
+     *      r_o = c_x if adj_x else r_x
+     *      c_o = r_y if adj_y else c_y
+     */
+    BATCH_MATMUL = 102,
 }

neuralnetworks/aidl/utils/Android.bp

@@ -38,7 +38,7 @@ cc_library_static {
         "neuralnetworks_utils_hal_common",
     ],
     shared_libs: [
-        "android.hardware.neuralnetworks-V1-ndk",
+        "android.hardware.neuralnetworks-V2-ndk",
         "libbinder_ndk",
         "libhidlbase",
     ],
@@ -58,7 +58,7 @@ cc_test {
     static_libs: [
         "android.hardware.common-V2-ndk",
         "android.hardware.graphics.common-V2-ndk",
-        "android.hardware.neuralnetworks-V1-ndk",
+        "android.hardware.neuralnetworks-V2-ndk",
         "libaidlcommonsupport",
         "libgmock",
         "libneuralnetworks_common",

neuralnetworks/aidl/vts/functional/Android.bp

@@ -51,7 +51,7 @@ cc_test {
     static_libs: [
         "android.hardware.common-V2-ndk",
         "android.hardware.graphics.common-V2-ndk",
-        "android.hardware.neuralnetworks-V1-ndk",
+        "android.hardware.neuralnetworks-V2-ndk",
         "android.hidl.allocator@1.0",
         "android.hidl.memory@1.0",
         "libaidlcommonsupport",

neuralnetworks/utils/common/Android.bp

@@ -35,7 +35,7 @@ cc_library_static {
         "neuralnetworks_types",
     ],
     shared_libs: [
-        "android.hardware.neuralnetworks-V1-ndk",
+        "android.hardware.neuralnetworks-V2-ndk",
         "libhidlbase",
         "libbinder_ndk",
     ],

neuralnetworks/utils/service/Android.bp

@@ -39,7 +39,7 @@ cc_library_static {
         "neuralnetworks_utils_hal_common",
     ],
     shared_libs: [
-        "android.hardware.neuralnetworks-V1-ndk",
+        "android.hardware.neuralnetworks-V2-ndk",
         "android.hardware.neuralnetworks@1.0",
         "android.hardware.neuralnetworks@1.1",
         "android.hardware.neuralnetworks@1.2",