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https://github.com/Evolution-X/hardware_interfaces
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Merge "Fix docs: clarify usage of float16 scalars in operations" into qt-dev
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Android (Google) Code Review
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34e718703d
@@ -515,7 +515,7 @@ b83317b66721241887d2770b5ae95fd5af1e77c5daa7530ecb08fae8892f2b43 android.hardwar
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92714960d1a53fc2ec557302b41c7cc93d2636d8364a44bd0f85be0c92927ff8 android.hardware.neuralnetworks@1.2::IExecutionCallback
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92714960d1a53fc2ec557302b41c7cc93d2636d8364a44bd0f85be0c92927ff8 android.hardware.neuralnetworks@1.2::IExecutionCallback
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36e1064c869965dee533c537cefbe87e54db8bd8cd45be7e0e93e00e8a43863a android.hardware.neuralnetworks@1.2::IPreparedModel
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36e1064c869965dee533c537cefbe87e54db8bd8cd45be7e0e93e00e8a43863a android.hardware.neuralnetworks@1.2::IPreparedModel
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e1c734d1545e1a4ae749ff1dd9704a8e594c59aea7c8363159dc258e93e0df3b android.hardware.neuralnetworks@1.2::IPreparedModelCallback
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e1c734d1545e1a4ae749ff1dd9704a8e594c59aea7c8363159dc258e93e0df3b android.hardware.neuralnetworks@1.2::IPreparedModelCallback
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b47700929d91ad9c037fd26077d4008d4a04753f71f4f332aeedbd1de7bb91e1 android.hardware.neuralnetworks@1.2::types
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73e995644b1bb2678ec3ab850feb7a1b4495501953951c22316cefd67b900b3e android.hardware.neuralnetworks@1.2::types
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cf7a4ba516a638f9b82a249c91fb603042c2d9ca43fd5aad9cf6c0401ed2a5d7 android.hardware.nfc@1.2::INfc
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cf7a4ba516a638f9b82a249c91fb603042c2d9ca43fd5aad9cf6c0401ed2a5d7 android.hardware.nfc@1.2::INfc
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abf98c2ae08bf765db54edc8068e36d52eb558cff6706b6fd7c18c65a1f3fc18 android.hardware.nfc@1.2::types
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abf98c2ae08bf765db54edc8068e36d52eb558cff6706b6fd7c18c65a1f3fc18 android.hardware.nfc@1.2::types
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4cb252dc6372a874aef666b92a6e9529915aa187521a700f0789065c3c702ead android.hardware.power.stats@1.0::IPowerStats
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4cb252dc6372a874aef666b92a6e9529915aa187521a700f0789065c3c702ead android.hardware.power.stats@1.0::IPowerStats
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@@ -1005,12 +1005,21 @@ enum OperationType : int32_t {
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* the input.
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* the input.
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* * 1: An {@link OperandType::INT32} scalar, specifying the radius of
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* * 1: An {@link OperandType::INT32} scalar, specifying the radius of
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* the normalization window.
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* the normalization window.
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* * 2: An {@link OperandType::FLOAT32} scalar, specifying the bias, must
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* * 2: A scalar, specifying the bias, must not be zero.
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* not be zero.
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* For input tensor of {@link OperandType::TENSOR_FLOAT16}, the bias
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* * 3: An {@link OperandType::FLOAT32} scalar, specifying the scale
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* value must be of {@link OperandType::FLOAT16}.
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* factor, alpha.
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* For input tensor of {@link OperandType::TENSOR_FLOAT32}, the bias
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* * 4: An {@link OperandType::FLOAT32} scalar, specifying the exponent,
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* value must be of {@link OperandType::FLOAT32}.
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* beta.
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* * 3: A scalar, specifying the scale factor, alpha.
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* For input tensor of {@link OperandType::TENSOR_FLOAT16}, the alpha
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* value must be of {@link OperandType::FLOAT16}.
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* For input tensor of {@link OperandType::TENSOR_FLOAT32}, the alpha
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* value must be of {@link OperandType::FLOAT32}.
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* * 4: A scalar, specifying the exponent, beta.
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* For input tensor of {@link OperandType::TENSOR_FLOAT16}, the beta
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* value must be of {@link OperandType::FLOAT16}.
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* For input tensor of {@link OperandType::TENSOR_FLOAT32}, the beta
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* value must be of {@link OperandType::FLOAT32}.
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* * 5: An optional {@link OperandType::INT32} scalar, default to -1,
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* * 5: An optional {@link OperandType::INT32} scalar, default to -1,
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* specifying the dimension normalization would be performed on.
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* specifying the dimension normalization would be performed on.
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* Negative index is used to specify axis from the end (e.g. -1 for
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* Negative index is used to specify axis from the end (e.g. -1 for
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@@ -3495,8 +3504,12 @@ enum OperationType : int32_t {
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*
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*
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* Inputs:
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* Inputs:
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* * 0: A tensor specifying the input logits.
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* * 0: A tensor specifying the input logits.
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* * 1: An {@link OperandType::FLOAT32} scalar, specifying the positive
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* * 1: A scalar, specifying the positive scaling factor for the exponent,
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* scaling factor for the exponent, beta.
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* beta.
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* For input tensor of {@link OperandType::TENSOR_FLOAT16}, the beta
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* value must be of {@link OperandType::FLOAT16}.
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* For input tensor of {@link OperandType::TENSOR_FLOAT32}, the beta
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* value must be of {@link OperandType::FLOAT32}.
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* * 2: An {@link OperandType::INT32} scalar specifying the axis to
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* * 2: An {@link OperandType::INT32} scalar specifying the axis to
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* reduce across. Negative index is used to specify axis from the
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* reduce across. Negative index is used to specify axis from the
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* end (e.g. -1 for the last axis). Must be in the range [-n, n).
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* end (e.g. -1 for the last axis). Must be in the range [-n, n).
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