Merge "Fix HAL and AIDL files to be consistent with API generation tool." am:... (159bc14b) · Commits · e / os / android_hardware_interfaces

current.txt

+2 −0

Original line number	Diff line number	Diff line
		@@ -901,5 +901,7 @@ c8a57364f6ad20842be14f4db284df5304f7521ca8eac6bcc1fa6c5b466fb8a6 android.hardwar

		# ABI preserving changes to HALs during Android T
		62ace52d9c3ff1f60f94118557a2aaf0b953513e59dcd34d5f94ae28d4c7e780 android.hardware.fastboot@1.0::IFastboot
		ca62a2a95d173ed323309e5e00f653ad3cceec82a6e5e4976a249cb5aafe2515 android.hardware.neuralnetworks@1.2::types
		fa76bced6b1b71c40fc706c508a9011284c57f57831cd0cf5f45653ed4ea463e android.hardware.neuralnetworks@1.3::types

		# There should be no more HIDL HALs - please use AIDL instead.

neuralnetworks/1.3/types.hal

+1 −2

Original line number	Diff line number	Diff line
		@@ -41,7 +41,6 @@ enum OperandType : @1.2::OperandType {
		* real_value = (integer_value - zeroPoint) * scale.
		*/
		TENSOR_QUANT8_ASYMM_SIGNED = 14,

		/**
		* A reference to a subgraph.
		*
		@@ -5230,7 +5229,7 @@ enum OperationType : int32_t {
		* 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}

neuralnetworks/aidl/android/hardware/neuralnetworks/OperandType.aidl

+27 −31

Original line number	Diff line number	Diff line
		@@ -24,35 +24,30 @@ package android.hardware.neuralnetworks;
		* Types prefaced with TENSOR_* must be used for tensor data (i.e., tensors
		* with at least one dimension). Types not prefaced by TENSOR_* represent
		* scalar values and must have no dimensions.
		*
		* Although we define many types, most operators accept just a few
		* types. Most used are {@link OperandType::TENSOR_FLOAT32},
		* {@link OperandType::TENSOR_QUANT8_ASYMM},
		* and {@link OperandType::INT32}.
		*/
		@VintfStability
		@Backing(type="int")
		enum OperandType {
		/**
		* A 32 bit floating point scalar value.
		*/
		/** A 32 bit floating point scalar value. */
		FLOAT32 = 0,
		/**
		* A signed 32 bit integer scalar value.
		*/
		/** A signed 32 bit integer scalar value. */
		INT32 = 1,
		/**
		* An unsigned 32 bit integer scalar value.
		*/
		/** An unsigned 32 bit integer scalar value. */
		UINT32 = 2,
		/**
		* A tensor of 32 bit floating point values.
		*/
		/** A tensor of 32 bit floating point values. */
		TENSOR_FLOAT32 = 3,
		/**
		* A tensor of 32 bit integer values.
		*/
		/** A tensor of 32 bit integer values. */
		TENSOR_INT32 = 4,
		/**
		* A tensor of 8 bit unsigned integers that represent real numbers.
		*
		* Attached to this tensor are two numbers that can be used to convert the 8 bit integer to the
		* real value and vice versa. These two numbers are:
		* Attached to this tensor are two numbers that can be used to convert the
		* 8 bit integer to the real value and vice versa. These two numbers are:
		* - scale: a 32 bit floating point value greater than zero.
		* - zeroPoint: a 32 bit integer, in range [0, 255].
		*
		@@ -63,15 +58,15 @@ enum OperandType {
		/**
		* An 8 bit boolean scalar value.
		*
		* Values of this operand type are either true or false. A zero value represents false; any
		* other value represents true.
		* Values of this operand type are either true or false. A zero value
		* represents false; any other value represents true.
		*/
		BOOL = 6,
		/**
		* A tensor of 16 bit signed integers that represent real numbers.
		*
		* Attached to this tensor is a number representing real value scale that is used to convert the
		* 16 bit number to a real value in the following way:
		* Attached to this tensor is a number representing real value scale that is
		* used to convert the 16 bit number to a real value in the following way:
		* realValue = integerValue * scale.
		*
		* scale is a 32 bit floating point with value greater than zero.
		@@ -84,8 +79,8 @@ enum OperandType {
		/**
		* A tensor of 8 bit boolean values.
		*
		* Values of this operand type are either true or false. A zero value represents false; any
		* other value represents true.
		* Values of this operand type are either true or false. A zero value
		* represents false; any other value represents true.
		*/
		TENSOR_BOOL8 = 9,
		/**
		@@ -95,8 +90,9 @@ enum OperandType {
		/**
		* A tensor of 8 bit signed integers that represent real numbers.
		*
		* This tensor is associated with additional fields that can be used to convert the 8 bit signed
		* integer to the real value and vice versa. These fields are:
		* This tensor is associated with additional fields that can
		* be used to convert the 8 bit signed integer to the real value and vice versa.
		* These fields are:
		* - channelDim: a 32 bit unsigned integer indicating channel dimension.
		* - scales: an array of positive 32 bit floating point values.
		* The size of the scales array must be equal to dimensions[channelDim].
		@@ -113,8 +109,8 @@ enum OperandType {
		/**
		* A tensor of 16 bit unsigned integers that represent real numbers.
		*
		* Attached to this tensor are two numbers that can be used to convert the 16 bit integer to the
		* real value and vice versa. These two numbers are:
		* Attached to this tensor are two numbers that can be used to convert the
		* 16 bit integer to the real value and vice versa. These two numbers are:
		* - scale: a 32 bit floating point value greater than zero.
		* - zeroPoint: a 32 bit integer, in range [0, 65535].
		*
		@@ -125,8 +121,8 @@ enum OperandType {
		/**
		* A tensor of 8 bit signed integers that represent real numbers.
		*
		* Attached to this tensor is a number representing real value scale that is used to convert the
		* 8 bit number to a real value in the following way:
		* Attached to this tensor is a number representing real value scale that is
		* used to convert the 8 bit number to a real value in the following way:
		* realValue = integerValue * scale.
		*
		* scale is a 32 bit floating point with value greater than zero.
		@@ -135,8 +131,8 @@ enum OperandType {
		/**
		* A tensor of 8 bit signed integers that represent real numbers.
		*
		* Attached to this tensor are two numbers that can be used to convert the 8 bit integer to the
		* real value and vice versa. These two numbers are:
		* Attached to this tensor are two numbers that can be used to convert the
		* 8 bit integer to the real value and vice versa. These two numbers are:
		* - scale: a 32 bit floating point value greater than zero.
		* - zeroPoint: a 32 bit integer, in range [-128, 127].
		*

neuralnetworks/aidl/android/hardware/neuralnetworks/OperationType.aidl

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neuralnetworks/1.2/types.hal

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Contains only whitespace changes.