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Commit 4b4b1c30 authored by android-build-team Robot's avatar android-build-team Robot
Browse files

Snap for 5499134 from 3129bda3 to qt-release 

Change-Id: If933efa08127cb89d378577c683b8d0c2e860f9d
parents 4592fe71 3129bda3

compatibility_matrices/compatibility_matrix.4.xml

+0 −8
Original line number Diff line number Diff line
@@ -493,14 +493,6 @@ 
            <instance>default</instance>

        </interface>

    </hal>

    <hal format="hidl" optional="true">

        <name>android.hardware.wifi.offload</name>

        <version>1.0</version>

        <interface>

            <name>IOffload</name>

            <instance>default</instance>

        </interface>

    </hal>

    <hal format="hidl" optional="true">

        <name>android.hardware.wifi.supplicant</name>

        <version>1.0-2</version>

current.txt

+3 −3
Original line number Diff line number Diff line
@@ -401,8 +401,8 @@ f7d7cb747dc01a9fdb2d39a80003b4d8df9be733d65f5842198802eb6209db69 android.hardwar 
65a021fa89085b62fc96b2b6d3bef2f9103cf4d63379c68bc154fd9eef672852 android.hardware.health@1.0::types

b7ecf29927055ec422ec44bf776223f07d79ad9f92ccf9becf167e62c2607e7a android.hardware.keymaster@4.0::IKeymasterDevice

574e8f1499436fb4075894dcae0b36682427956ecb114f17f1fe22d116a83c6b android.hardware.neuralnetworks@1.0::IPreparedModel

417ab60fe1ef786778047e4486f3d868ebce570d91addd8fe4251515213072de android.hardware.neuralnetworks@1.0::types

ec8aa14fe9b03f2b3fb9845346a4005b6d098ebe2277b2564f73a548a0fd14a7 android.hardware.neuralnetworks@1.1::types

567de4ebb3a224721eabae40c4484fad2cd1608eb0e66ec9214eb88e9b15d3c9 android.hardware.neuralnetworks@1.0::types

d51937a3567a50f239589e40300264c4b57f2c3582c6fc6df082f45eb74d90e3 android.hardware.neuralnetworks@1.1::types

1d4a5776614c08b5d794a5ec5ab04697260cbd4b3441d5935cd53ee71d19da02 android.hardware.radio@1.0::IRadioResponse

ed9da80ec0c96991fd03f0a46107815d0e50f764656e49dba4980fa5c31d5bc3 android.hardware.radio@1.0::types

1d19720d4fd38b1095f0f555a4bd92b3b12c9b1d0f560b0e9a474cd6dcc20db6 android.hardware.radio@1.2::IRadio
@@ -515,7 +515,7 @@ b83317b66721241887d2770b5ae95fd5af1e77c5daa7530ecb08fae8892f2b43 android.hardwar 
92714960d1a53fc2ec557302b41c7cc93d2636d8364a44bd0f85be0c92927ff8 android.hardware.neuralnetworks@1.2::IExecutionCallback

36e1064c869965dee533c537cefbe87e54db8bd8cd45be7e0e93e00e8a43863a android.hardware.neuralnetworks@1.2::IPreparedModel

e1c734d1545e1a4ae749ff1dd9704a8e594c59aea7c8363159dc258e93e0df3b android.hardware.neuralnetworks@1.2::IPreparedModelCallback

b75126d572c1788682a679ab53c2dbdf3fcd75f754b1370dbf09aaad0e19d397 android.hardware.neuralnetworks@1.2::types

73e995644b1bb2678ec3ab850feb7a1b4495501953951c22316cefd67b900b3e android.hardware.neuralnetworks@1.2::types

cf7a4ba516a638f9b82a249c91fb603042c2d9ca43fd5aad9cf6c0401ed2a5d7 android.hardware.nfc@1.2::INfc

abf98c2ae08bf765db54edc8068e36d52eb558cff6706b6fd7c18c65a1f3fc18 android.hardware.nfc@1.2::types

4cb252dc6372a874aef666b92a6e9529915aa187521a700f0789065c3c702ead android.hardware.power.stats@1.0::IPowerStats

neuralnetworks/1.0/types.hal

+5 −0
Original line number Diff line number Diff line
@@ -1197,6 +1197,11 @@ enum OperationType : int32_t { 
     *      shape of the output tensor. The number of elements implied by shape

     *      must be the same as the number of elements in the input tensor.

     *

     *      If one component of shape is the special value -1, the size of that

     *      dimension is computed so that the total size remains constant. In

     *      particular, a shape of [-1] flattens into 1-D. At most one component

     *      of shape can be -1.

     *

     * Outputs:

     * * 0: The output tensor, of shape specified by the input shape.

     *

neuralnetworks/1.1/types.hal

+8 −5
Original line number Diff line number Diff line
@@ -104,9 +104,6 @@ enum OperationType : @1.0::OperationType { 
     * in axis. If keep_dims is true, the reduced dimensions are retained with

     * length 1.

     *

     * If dimensions to reduce have no entries, all dimensions are reduced, and

     * a tensor with a single element is returned.

     *

     * Supported tensor {@link OperandType}:

     * * {@link OperandType::TENSOR_FLOAT32}

     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
@@ -116,8 +113,14 @@ enum OperationType : @1.0::OperationType { 
     * Inputs:

     * * 0: A tensor, specifying the input.

     * * 1: A 1-D Tensor of {@link OperandType::TENSOR_INT32}. The dimensions

     *      to reduce. If None (the default), reduces all dimensions. Must be in

     *      the range [-rank(input_tensor), rank(input_tensor)).

     *      to reduce. Must be in the range

     *      [-rank(input_tensor), rank(input_tensor)).

     *

     *      NOTE: When the operation was introduced, the documentation

     *      incorrectly stated that if dimensions were empty, the operation

     *      would reduce across all dimensions. This behavior was never

     *      implemented.

     *

     * * 2: An {@link OperandType::INT32} scalar, keep_dims. If positive,

     *      retains reduced dimensions with length 1.

     *

neuralnetworks/1.2/types.hal

+34 −13
Original line number Diff line number Diff line
@@ -1005,12 +1005,21 @@ enum OperationType : int32_t { 
     *      the input.

     * * 1: An {@link OperandType::INT32} scalar, specifying the radius of

     *      the normalization window.

     * * 2: An {@link OperandType::FLOAT32} scalar, specifying the bias, must

     *      not be zero.

     * * 3: An {@link OperandType::FLOAT32} scalar, specifying the scale

     *      factor, alpha.

     * * 4: An {@link OperandType::FLOAT32} scalar, specifying the exponent,

     *      beta.

     * * 2: A scalar, specifying the bias, must not be zero.

     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the bias

     *      value must be of {@link OperandType::FLOAT16}.

     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the bias

     *      value must be of {@link OperandType::FLOAT32}.

     * * 3: A scalar, specifying the scale factor, alpha.

     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the alpha

     *      value must be of {@link OperandType::FLOAT16}.

     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the alpha

     *      value must be of {@link OperandType::FLOAT32}.

     * * 4: A scalar, specifying the exponent, beta.

     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the beta

     *      value must be of {@link OperandType::FLOAT16}.

     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the beta

     *      value must be of {@link OperandType::FLOAT32}.

     * * 5: An optional {@link OperandType::INT32} scalar, default to -1,

     *      specifying the dimension normalization would be performed on.

     *      Negative index is used to specify axis from the end (e.g. -1 for
@@ -1548,6 +1557,11 @@ enum OperationType : int32_t { 
     *      shape of the output tensor. The number of elements implied by shape

     *      must be the same as the number of elements in the input tensor.

     *

     *      If one component of shape is the special value -1, the size of that

     *      dimension is computed so that the total size remains constant. In

     *      particular, a shape of [-1] flattens into 1-D. At most one component

     *      of shape can be -1.

     *

     * Outputs:

     * * 0: The output tensor, of shape specified by the input shape.

     *
@@ -1949,9 +1963,6 @@ enum OperationType : int32_t { 
     * in axis. If keep_dims is true, the reduced dimensions are retained with

     * length 1.

     *

     * If dimensions to reduce have no entries, all dimensions are reduced, and

     * a tensor with a single element is returned.

     *

     * Supported tensor {@link OperandType}:

     * * {@link OperandType::TENSOR_FLOAT16} (since API level 29)

     * * {@link OperandType::TENSOR_FLOAT32}
@@ -1962,8 +1973,14 @@ enum OperationType : int32_t { 
     * Inputs:

     * * 0: A tensor, specifying the input.

     * * 1: A 1-D Tensor of {@link OperandType::TENSOR_INT32}. The dimensions

     *      to reduce. If None (the default), reduces all dimensions. Must be in

     *      the range [-rank(input_tensor), rank(input_tensor)).

     *      to reduce. Must be in the range

     *      [-rank(input_tensor), rank(input_tensor)).

     *

     *      NOTE: When the operation was introduced, the documentation

     *      incorrectly stated that if dimensions were empty, the operation

     *      would reduce across all dimensions. This behavior was never

     *      implemented.

     *

     * * 2: An {@link OperandType::INT32} scalar, keep_dims. If positive,

     *      retains reduced dimensions with length 1.

     *
@@ -3487,8 +3504,12 @@ enum OperationType : int32_t { 
     *

     * Inputs:

     * * 0: A tensor specifying the input logits.

     * * 1: An {@link OperandType::FLOAT32} scalar, specifying the positive

     *      scaling factor for the exponent, beta.

     * * 1: A scalar, specifying the positive scaling factor for the exponent,

     *      beta.

     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the beta

     *      value must be of {@link OperandType::FLOAT16}.

     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the beta

     *      value must be of {@link OperandType::FLOAT32}.

     * * 2: An {@link OperandType::INT32} scalar specifying the axis to

     *      reduce across. Negative index is used to specify axis from the

     *      end (e.g. -1 for the last axis). Must be in the range [-n, n).