NNAPI: Regenerate types.hal to sync with types.spec
Bug: 147765446
Test: mma
Change-Id: I2b41bd959b7084ecb89674c659c66ebb158ac77d
diff --git a/current.txt b/current.txt
index 29cc006..8c2742b 100644
--- a/current.txt
+++ b/current.txt
@@ -655,7 +655,7 @@
4167dc3ad35e9cd0d2057d4868c7675ae2c3c9d05bbd614c1f5dccfa5fd68797 android.hardware.neuralnetworks@1.3::IExecutionCallback
7d23020248194abbee8091cc624f39a5a6d7ccba338b172d5d2d3df0cceffbee android.hardware.neuralnetworks@1.3::IPreparedModel
0439a1fbbec7f16e5e4c653d85ac685d51bfafbae15b8f8cca530acdd7d6a8ce android.hardware.neuralnetworks@1.3::IPreparedModelCallback
-ee65638f8af3f9f4f222e7208eaa9f1f8e7f8e0a21545846ba67d0e27624efa1 android.hardware.neuralnetworks@1.3::types
+162515505235bc770601f02c3537f9ccf11582583bf7b11dd2ec81fab6855333 android.hardware.neuralnetworks@1.3::types
3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi
c67aaf26a7a40d14ea61e70e20afacbd0bb906df1704d585ac8599fbb69dd44b android.hardware.wifi.hostapd@1.2::IHostapd
11f6448d15336361180391c8ebcdfd2d7cf77b3782d577e594d583aadc9c2877 android.hardware.wifi.hostapd@1.2::types
diff --git a/neuralnetworks/1.3/types.hal b/neuralnetworks/1.3/types.hal
index b330b50..0f51b1a 100644
--- a/neuralnetworks/1.3/types.hal
+++ b/neuralnetworks/1.3/types.hal
@@ -1415,6 +1415,7 @@
* * {@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 HAL version 1.3)
*
* Supported tensor rank: up to 4
*
@@ -1425,6 +1426,8 @@
* * 2: An {@link OperandType::INT32} scalar, and has to be one of the
* {@link FusedActivationFunc} values. Specifies the activation to
* invoke on the result.
+ * For a {@link OperandType::TENSOR_INT32} tensor,
+ * the {@link FusedActivationFunc} must be "NONE".
*
* Outputs:
* * 0: The product, a tensor of the same {@link OperandType} as input0.
@@ -1905,6 +1908,11 @@
* dimensions. The output is the result of dividing the first input tensor
* by the second, optionally modified by an activation function.
*
+ * For inputs of {@link OperandType::TENSOR_INT32}, performs
+ * "floor division" ("//" in Python). For example,
+ * 5 // 2 = 2
+ * -5 // 2 = -3
+ *
* Two dimensions are compatible when:
* 1. they are equal, or
* 2. one of them is 1
@@ -1925,6 +1933,7 @@
* Supported tensor {@link OperandType}:
* * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
* * {@link OperandType::TENSOR_FLOAT32}
+ * * {@link OperandType::TENSOR_INT32} (since HAL version 1.3)
*
* Supported tensor rank: up to 4
*
@@ -1935,6 +1944,8 @@
* * 2: An {@link OperandType::INT32} scalar, and has to be one of the
* {@link FusedActivationFunc} values. Specifies the activation to
* invoke on the result.
+ * For a {@link OperandType::TENSOR_INT32} tensor,
+ * the {@link FusedActivationFunc} must be "NONE".
*
* Outputs:
* * 0: A tensor of the same {@link OperandType} as input0.
@@ -2186,6 +2197,7 @@
* * {@link OperandType::TENSOR_FLOAT32}
* * {@link OperandType::TENSOR_QUANT8_ASYMM} (since HAL version 1.2)
* * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+ * * {@link OperandType::TENSOR_INT32} (since HAL version 1.3)
*
* Supported tensor rank: up to 4
*
@@ -2196,6 +2208,8 @@
* * 2: An {@link OperandType::INT32} scalar, and has to be one of the
* {@link FusedActivationFunc} values. Specifies the activation to
* invoke on the result.
+ * For a {@link OperandType::TENSOR_INT32} tensor,
+ * the {@link FusedActivationFunc} must be "NONE".
*
* Outputs:
* * 0: A tensor of the same {@link OperandType} as input0.
@@ -2242,6 +2256,7 @@
* Supported tensor {@link OperandType}:
* * {@link OperandType::TENSOR_FLOAT16}
* * {@link OperandType::TENSOR_FLOAT32}
+ * * {@link OperandType::TENSOR_INT32} (since HAL version 1.3)
*
* Supported tensor rank: from 1.
*