Add ELU and HARD_SWISH am: 503d850369 am: b17645bc30 (3b5da853) · Commits · e / os / android_hardware_interfaces

current.txt

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		@@ -633,7 +633,7 @@ d1f382d14e1384b907d5bb5780df7f01934650d556fedbed2f15a90773c657d6 android.hardwar
		4167dc3ad35e9cd0d2057d4868c7675ae2c3c9d05bbd614c1f5dccfa5fd68797 android.hardware.neuralnetworks@1.3::IExecutionCallback
		7d23020248194abbee8091cc624f39a5a6d7ccba338b172d5d2d3df0cceffbee android.hardware.neuralnetworks@1.3::IPreparedModel
		0439a1fbbec7f16e5e4c653d85ac685d51bfafbae15b8f8cca530acdd7d6a8ce android.hardware.neuralnetworks@1.3::IPreparedModelCallback
		162515505235bc770601f02c3537f9ccf11582583bf7b11dd2ec81fab6855333 android.hardware.neuralnetworks@1.3::types
		26c643aedf4e28b8d82e517d9cd70601b37f881e1ea94f09808d9e233517e400 android.hardware.neuralnetworks@1.3::types
		3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi
		a64467bae843569f0d465c5be7f0c7a5b987985b55a3ef4794dd5afc68538650 android.hardware.wifi.supplicant@1.3::ISupplicant
		44445b8a03d7b9e68b2fbd954672c18a8fce9e32851b0692f4f4ab3407f86ecb android.hardware.wifi.supplicant@1.3::ISupplicantStaIface

neuralnetworks/1.3/types.hal

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		@@ -4986,6 +4986,56 @@ enum OperationType : int32_t {
		*/
		WHILE = 97,

		/**
		* Computes exponential linear activation on the input tensor element-wise.
		*
		* The output is calculated using the following formula:
		*
		* ELU(x) = max(0, x) + min(0, alpha * (exp(x) - 1))
		*
		* Supported tensor {@link OperandType}:
		* * {@link OperandType::TENSOR_FLOAT16}
		* * {@link OperandType::TENSOR_FLOAT32}
		*
		* Inputs:
		* * 0: A tensor, specifying the input. May be zero-sized.
		* * 1: A scalar, specifying the alpha parameter.
		* 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}.
		*
		* Outputs:
		* * 0: The output tensor of same shape and type as input0.
		*/
		ELU = 98,

		/**
		* Computes hard-swish activation on the input tensor element-wise.
		*
		* Hard swish activation is introduced in
		* https://arxiv.org/pdf/1905.02244.pdf
		*
		* The output is calculated using the following formula:
		*
		* h-swish(x) = x * max(0, min(6, (x + 3))) / 6

		* Supported tensor {@link OperandType}:
		* * {@link OperandType::TENSOR_FLOAT16}
		* * {@link OperandType::TENSOR_FLOAT32}
		* * {@link OperandType::TENSOR_QUANT8_ASYMM}
		* * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
		*
		* Inputs:
		* * 0: A tensor, specifying the input. May be zero-sized.
		*
		* Outputs:
		* * 0: The output tensor of same shape and type as input0.
		* Scale and zero point of this tensor may be different from the input
		* tensor's parameters.
		*/
		HARD_SWISH = 99,

		/**
		* DEPRECATED. Since NNAPI 1.2, extensions are the preferred alternative to
		* OEM operation and data types.
		@@ -5008,7 +5058,7 @@ enum OperationType : int32_t {
		enum OperationTypeRange : uint32_t {
		BASE_MIN = 0,
		FUNDAMENTAL_MIN = 0,
		FUNDAMENTAL_MAX = 97,
		FUNDAMENTAL_MAX = 99,
		OEM_MIN = 10000,
		OEM_MAX = 10000,
		BASE_MAX = 0xFFFF,