Evolution-x/hardware_interfaces
1
0
Fork 0
mirror of https://github.com/Evolution-X/hardware_interfaces synced 2026-02-01 22:04:26 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fix stale NNAPI documentation am: d23380f0a3

Browse Source 
Original change: https://android-review.googlesource.com/c/platform/hardware/interfaces/+/1363544

Change-Id: Id5436153df19086e7482a89541c0ebfb5c1b692b
This commit is contained in:
Slava Shklyaev
2020-07-21 12:40:01 +00:00
committed by Automerger Merge Worker
parent c527a74f0b d23380f0a3
commit c3431d60f2
5 changed files with 33 additions and 19 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
current.txt
View File

@@ -652,6 +652,8 @@ b809193970a91ca637a4b0184767315601d32e3ef3d5992ffbc7a8d14a14f015 android.hardwar
# ABI preserving changes to HALs during Android S
cd84ab19c590e0e73dd2307b591a3093ee18147ef95e6d5418644463a6620076 android.hardware.neuralnetworks@1.2::IDevice
9625e85f56515ad2cf87b6a1847906db669f746ea4ab02cd3d4ca25abc9b0109 android.hardware.neuralnetworks@1.2::types
745295adfd826de650eedaf8cc6979f52a1cf30b04ea7a089a132d0089475e95 android.hardware.neuralnetworks@1.3::types
38d65fb20c60a5b823298560fc0825457ecdc49603a4b4e94bf81511790737da android.hardware.radio@1.4::types
954c334efd80e8869b66d1ce5fe2755712d96ba4b3c38d415739c330af5fb4cb android.hardware.radio@1.5::types

9
neuralnetworks/1.2/types.hal
View File

@@ -4853,15 +4853,18 @@ struct Operand {
/**
* Quantized scale of the operand.
*
* Only applicable if the operand is of type TENSOR_QUANT8_ASYMM or
* TENSOR_INT32.
* Must be 0 when not applicable to an operand type.
*
* See {@link OperandType}.
*/
float scale;
/**
* Quantized zero-point offset of the operand.
*
* Only applicable if the operand is of type TENSOR_QUANT8_ASYMM.
* Must be 0 when not applicable to an operand type.
*
* See {@link OperandType}.
*/
int32_t zeroPoint;

9
neuralnetworks/1.2/types.t
View File

@@ -251,15 +251,18 @@ struct Operand {
/**
* Quantized scale of the operand.
*
* Only applicable if the operand is of type TENSOR_QUANT8_ASYMM or
* TENSOR_INT32.
* Must be 0 when not applicable to an operand type.
*
* See {@link OperandType}.
*/
float scale;
/**
* Quantized zero-point offset of the operand.
*
* Only applicable if the operand is of type TENSOR_QUANT8_ASYMM.
* Must be 0 when not applicable to an operand type.
*
* See {@link OperandType}.
*/
int32_t zeroPoint;

23
neuralnetworks/1.3/types.hal
View File

@@ -5103,8 +5103,8 @@ enum OperationType : int32_t {
* signature of this operation. That is, if the operation has (3 + n) inputs
* and m outputs, both subgraphs must have n inputs and m outputs with the same
* types, ranks, dimensions, scales,
* zeroPoints, and extraParams as the corresponding operation inputs and
* outputs.
* zeroPoints, and extraParams as the corresponding operation
* inputs and outputs.
* All of the operands mentioned must have fully specified dimensions.
*
* Inputs:
@@ -5170,15 +5170,15 @@ enum OperationType : int32_t {
* * 0: A {@link OperandType::SUBGRAPH} reference to the condition
* subgraph. The subgraph must have (m + k + n) inputs with
* the same types, ranks, dimensions,
* scales, zeroPoints, and extraParams as the corresponding inputs of
* the WHILE operation and exactly one output of
* {@link OperandType::TENSOR_BOOL8} and shape [1].
* scales, zeroPoints, and extraParams as the
* corresponding inputs of the WHILE operation and exactly one output
* of {@link OperandType::TENSOR_BOOL8} and shape [1].
* All of the operands mentioned must have fully specified dimensions.
* * 1: A {@link OperandType::SUBGRAPH} reference to the body subgraph.
* The subgraph must have (m + k + n) inputs and (m + k) outputs with
* the same types, ranks, dimensions,
* scales, zeroPoints, and extraParams as the corresponding inputs and
* outputs of the WHILE operation.
* scales, zeroPoints, and extraParams as the
* corresponding inputs and outputs of the WHILE operation.
* All of the operands mentioned must have fully specified dimensions.
* * (m inputs): Initial values for input-output operands.
* * (k inputs): Initial values for state-only operands.
@@ -5538,15 +5538,18 @@ struct Operand {
/**
* Quantized scale of the operand.
*
* Only applicable if the operand is of type TENSOR_QUANT8_ASYMM or
* TENSOR_INT32.
* Must be 0 when not applicable to an operand type.
*
* See {@link OperandType}.
*/
float scale;
/**
* Quantized zero-point offset of the operand.
*
* Only applicable if the operand is of type TENSOR_QUANT8_ASYMM.
* Must be 0 when not applicable to an operand type.
*
* See {@link OperandType}.
*/
int32_t zeroPoint;

9
neuralnetworks/1.3/types.t
View File

@@ -303,15 +303,18 @@ struct Operand {
/**
* Quantized scale of the operand.
*
* Only applicable if the operand is of type TENSOR_QUANT8_ASYMM or
* TENSOR_INT32.
* Must be 0 when not applicable to an operand type.
*
* See {@link OperandType}.
*/
float scale;
/**
* Quantized zero-point offset of the operand.
*
* Only applicable if the operand is of type TENSOR_QUANT8_ASYMM.
* Must be 0 when not applicable to an operand type.
*
* See {@link OperandType}.
*/
int32_t zeroPoint;