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NNAPI: Regenerate types.hal to sync with types.spec

Browse source 
Bug: 147765446
Test: mma
Change-Id: I2b41bd959b7084ecb89674c659c66ebb158ac77d
This commit is contained in:
Lev Proleev 2020-01-20 13:39:15 +00:00
parent 9e638b54a0
commit 2d7c489f67
2 changed files with 16 additions and 1 deletions
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2
current.txt
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@ -655,7 +655,7 @@ d1f382d14e1384b907d5bb5780df7f01934650d556fedbed2f15a90773c657d6 android.hardwar
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

15
neuralnetworks/1.3/types.hal
View file

@ -1415,6 +1415,7 @@ enum OperationType : int32_t {
* * {@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 @@ enum OperationType : int32_t {
* * 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 @@ enum OperationType : int32_t {
* 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 @@ enum OperationType : int32_t {
* 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 @@ enum OperationType : int32_t {
* * 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 @@ enum OperationType : int32_t {
* * {@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 @@ enum OperationType : int32_t {
* * 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 @@ enum OperationType : int32_t {
* 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.
*