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Commit 8b3f240e authored by Lev Proleev's avatar Lev Proleev
Browse files

Add FILL and RANK ops 

Bug: 148050168
Bug: 148049333
Test: NNTest_static and VtsHalNeuralnetworksV1_3TargetTest
Change-Id: Iebdfa600d84e31532807740c21d95cae41c76ad5
parent aee67f83

current.txt

+1 −1
Original line number Diff line number Diff line
@@ -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

26c643aedf4e28b8d82e517d9cd70601b37f881e1ea94f09808d9e233517e400 android.hardware.neuralnetworks@1.3::types

5f1a4e0c29fc686ed476f9f04eed35e4405d21288cb2746b978d6891de5cc37d 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

neuralnetworks/1.3/types.hal

+51 −1
Original line number Diff line number Diff line
@@ -5036,6 +5036,56 @@ enum OperationType : int32_t { 
     */

    HARD_SWISH = 99,



    /**

     * Creates a tensor filled with a scalar value.

     *

     * Supported output tensor {@link OperandType}:

     * * {@link OperandType::TENSOR_FLOAT16}

     * * {@link OperandType::TENSOR_FLOAT32}

     * * {@link OperandType::TENSOR_INT32}

     *

     * Inputs:

     * * 0: A 1-D tensor, specifying the desired output tensor shape.

     * * 1: A scalar, specifying the value to fill the output tensors with.

     *      For output tensor of {@link OperandType::TENSOR_FLOAT16},

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

     *      For output tensor of {@link OperandType::TENSOR_FLOAT32},

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

     *      For output tensor of {@link OperandType::TENSOR_INT32},

     *      the scalar must be of {@link OperandType::INT32}.

     *

     * Outputs:

     * * 0: The output tensor.

     */

    FILL = 100,



    /**

     * Returns the rank of a tensor.

     *

     * The rank of a tensor is the number of dimensions in it. Also known as

     * "order", "degree", "ndims".

     *

     * Supported tensor {@link OperandType}:

     * * {@link OperandType::TENSOR_FLOAT16}

     * * {@link OperandType::TENSOR_FLOAT32}

     * * {@link OperandType::TENSOR_INT32}

     * * {@link OperandType::TENSOR_QUANT8_ASYMM}

     * * {@link OperandType::TENSOR_QUANT16_SYMM}

     * * {@link OperandType::TENSOR_BOOL8}

     * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}

     * * {@link OperandType::TENSOR_QUANT16_ASYMM}

     * * {@link OperandType::TENSOR_QUANT8_SYMM}

     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}

     *

     * Inputs:

     * * 0: The input tensor.

     *

     * Outputs:

     * * 0: A scalar of {@link OperandType::INT32}, specifying the rank

     *      of the input tensor.

     */

    RANK = 101,



    /**

     * DEPRECATED. Since NNAPI 1.2, extensions are the preferred alternative to

     * OEM operation and data types.
@@ -5058,7 +5108,7 @@ enum OperationType : int32_t { 
enum OperationTypeRange : uint32_t {

    BASE_MIN        = 0,

    FUNDAMENTAL_MIN = 0,

    FUNDAMENTAL_MAX = 99,

    FUNDAMENTAL_MAX = 101,

    OEM_MIN         = 10000,

    OEM_MAX         = 10000,

    BASE_MAX        = 0xFFFF,

neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp

+3 −2
Original line number Diff line number Diff line
@@ -793,8 +793,9 @@ TEST_P(QuantizationCouplingTest, Test) { 
INSTANTIATE_GENERATED_TEST(GeneratedTest,

                           [](const TestModel& testModel) { return !testModel.expectFailure; });



INSTANTIATE_GENERATED_TEST(DynamicOutputShapeTest,

                           [](const TestModel& testModel) { return !testModel.expectFailure; });

INSTANTIATE_GENERATED_TEST(DynamicOutputShapeTest, [](const TestModel& testModel) {

    return !testModel.expectFailure && !testModel.hasScalarOutputs();

});



INSTANTIATE_GENERATED_TEST(MemoryDomainTest,

                           [](const TestModel& testModel) { return !testModel.expectFailure; });

neuralnetworks/1.3/vts/functional/ValidateModel.cpp

+15 −0
Original line number Diff line number Diff line
@@ -337,6 +337,7 @@ static bool mutateOperationOperandTypeSkip(size_t operand, OperandType type, con 
        // - TRANSPOSE_CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL

        // - AXIS_ALIGNED_BBOX_TRANSFORM bounding boxes (arg 1) can be of

        //     TENSOR_QUANT8_ASYMM or TENSOR_QUANT8_ASYMM_SIGNED.

        // - RANK's input can have any TENSOR_* type.

        switch (operation.type) {

            case OperationType::LSH_PROJECTION: {

                if (operand == operation.inputs[1]) {
@@ -399,6 +400,20 @@ static bool mutateOperationOperandTypeSkip(size_t operand, OperandType type, con 
                    return true;

                }

            } break;

            case OperationType::RANK: {

                if (operand == operation.inputs[0] &&

                    (type == OperandType::TENSOR_FLOAT16 || type == OperandType::TENSOR_FLOAT32 ||

                     type == OperandType::TENSOR_INT32 ||

                     type == OperandType::TENSOR_QUANT8_ASYMM ||

                     type == OperandType::TENSOR_QUANT16_SYMM ||

                     type == OperandType::TENSOR_BOOL8 ||

                     type == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL ||

                     type == OperandType::TENSOR_QUANT16_ASYMM ||

                     type == OperandType::TENSOR_QUANT8_SYMM ||

                     type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED)) {

                    return true;

                }

            } break;

            default:

                break;

        }