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Merge changes I6c1af92f,Icf594d40

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* changes:
  Fix typo in NNAPI documentation
  Fix stale NNAPI documentation
This commit is contained in:
Treehugger Robot
2020-07-21 12:24:31 +00:00
committed by Gerrit Code Review
parent cd6d4fc277 a2fbeefaa8
commit e6849d568a
5 changed files with 41 additions and 27 deletions
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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
9e758e208d14f7256e0885d6d8ad0b61121b21d8c313864f981727ae55bffd16 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
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@@ -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
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@@ -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;

31
neuralnetworks/1.3/types.hal
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@@ -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;
@@ -5740,8 +5743,8 @@ struct Request {
* Input data and information to be used in the execution of a prepared
* model.
*
* The index of the input corresponds to the index in Model.inputIndexes.
* E.g., input[i] corresponds to Model.inputIndexes[i].
* The index of the input corresponds to the index in Model.main.inputIndexes.
* E.g., input[i] corresponds to Model.main.inputIndexes[i].
*/
vec<RequestArgument> inputs;
@@ -5749,8 +5752,8 @@ struct Request {
* Output data and information to be used in the execution of a prepared
* model.
*
* The index of the output corresponds to the index in Model.outputIndexes.
* E.g., output[i] corresponds to Model.outputIndexes[i].
* The index of the output corresponds to the index in Model.main.outputIndexes.
* E.g., output[i] corresponds to Model.main.outputIndexes[i].
*/
vec<RequestArgument> outputs;

17
neuralnetworks/1.3/types.t
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@@ -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;
@@ -505,8 +508,8 @@ struct Request {
* Input data and information to be used in the execution of a prepared
* model.
*
* The index of the input corresponds to the index in Model.inputIndexes.
* E.g., input[i] corresponds to Model.inputIndexes[i].
* The index of the input corresponds to the index in Model.main.inputIndexes.
* E.g., input[i] corresponds to Model.main.inputIndexes[i].
*/
vec<RequestArgument> inputs;
@@ -514,8 +517,8 @@ struct Request {
* Output data and information to be used in the execution of a prepared
* model.
*
* The index of the output corresponds to the index in Model.outputIndexes.
* E.g., output[i] corresponds to Model.outputIndexes[i].
* The index of the output corresponds to the index in Model.main.outputIndexes.
* E.g., output[i] corresponds to Model.main.outputIndexes[i].
*/
vec<RequestArgument> outputs;