release-request-03f8b444-32f4-4a37-b710-3464560b2e0d-for-git_pi-release-435719... (077a7f51) · Commits · e / os / android_hardware_interfaces

media/omx/1.0/vts/functional/video/VtsHalMediaOmxV1_0TargetVideoDecTest.cpp

+14 −0

Original line number	Diff line number	Diff line
		@@ -853,6 +853,20 @@ TEST_F(VideoDecHidlTest, DecodeTest) {
		status = setPortBufferSize(omxNode, kPortIndexInput, maxBytesCount);
		ASSERT_EQ(status, ::android::hardware::media::omx::V1_0::Status::OK);

		// Change the port modes arbitrarily at the start before finialising on the
		// desired values.
		PortMode dummyPM[] = {
		PortMode::PRESET_BYTE_BUFFER, PortMode::PRESET_ANW_BUFFER,
		PortMode::PRESET_SECURE_BUFFER, PortMode::DYNAMIC_ANW_BUFFER,
		PortMode::DYNAMIC_NATIVE_HANDLE,
		};
		for (size_t k = 0; k < sizeof(dummyPM) / sizeof(dummyPM[0]); k++) {
		// ports may or may not support these modes. These are not the final
		// values. This init is done to test if causes any problems.
		status = omxNode->setPortMode(kPortIndexInput, dummyPM[k]);
		status = omxNode->setPortMode(kPortIndexOutput, dummyPM[k]);
		}

		// set port mode
		portMode[0] = PortMode::PRESET_BYTE_BUFFER;
		portMode[1] = PortMode::DYNAMIC_ANW_BUFFER;

neuralnetworks/1.0/IDevice.hal

+23 −9

Original line number	Diff line number	Diff line
		@@ -14,8 +14,6 @@
		* limitations under the License.
		*/

		/* This HAL is a work in progress */

		package android.hardware.neuralnetworks@1.0;

		import IEvent;
		@@ -28,7 +26,10 @@ interface IDevice {
		/**
		* Gets the capabilities of a driver.
		*
		* @return status ErrorStatus::NONE if successful.
		* @return status Error status of the call, must be:
		* - NONE if successful
		* - DEVICE_UNAVAILABLE if driver is offline or busy
		* - GENERAL_FAILURE if there is an unspecified error
		* @return capabilities Capabilities of the driver.
		*/
		getCapabilities() generates (ErrorStatus status, Capabilities capabilities);
		@@ -43,7 +44,11 @@ interface IDevice {
		*
		* @param model A model whose operations--and their corresponding
		* operands--are to be verified by the driver.
		* @return status ErrorStatus::NONE if successful.
		* @return status Error status of the call, must be:
		* - NONE if successful
		* - DEVICE_UNAVAILABLE if driver is offline or busy
		* - GENERAL_FAILURE if there is an unspecified error
		* - INVALID_ARGUMENT when provided model is invalid
		* @return supportedOperations A list of supported operations, where true
		* indicates the operation is supported and
		* false indicates the operation is not
		@@ -60,7 +65,7 @@ interface IDevice {
		* prepareModel is used to make any necessary transformations or alternative
		* representations to a model for execution, possible including
		* transformations on the constant data, optimization on the model's graph,
		* or compilation into the device's native binary.
		* or compilation into the device's native binary format.
		*
		* The only information that may be unknown to the model at this stage is
		* the shape of the tensors, which may only be known at execution time.
		@@ -68,7 +73,12 @@ interface IDevice {
		* @param model The model to be prepared for execution.
		* @param event A synchronization callback that must be signaled once the
		* execution has finished.
		* @return status ErrorStatus::NONE if successful.
		* @return status Error status of the call, must be:
		* - NONE if preparation task is successfully launched
		* - DEVICE_UNAVAILABLE if driver is offline or busy
		* - GENERAL_FAILURE if there is an unspecified error
		* - INVALID_ARGUMENT when one of the input arguments is
		* invalid
		* @return preparedModel A handle to the resultant prepared model.
		*/
		prepareModel(Model model, IEvent event)
		@@ -77,7 +87,11 @@ interface IDevice {
		/**
		* Returns the current status of a driver.
		*
		* @return status Status of the driver.
		* @return status Status of the driver, one of:
		* - DeviceStatus::AVAILABLE
		* - DeviceStatus::BUSY
		* - DeviceStatus::OFFLINE
		* - DeviceStatus::UNKNOWN
		*/
		getStatus() generates (DeviceStatus status);
		};

neuralnetworks/1.0/IEvent.hal

+5 −3

Original line number	Diff line number	Diff line
		@@ -14,8 +14,6 @@
		* limitations under the License.
		*/

		/* This HAL is a work in progress */

		package android.hardware.neuralnetworks@1.0;

		/**
		@@ -37,7 +35,11 @@ interface IEvent {
		* the work) to mark the event as completed so that any threads requiring
		* the corresponding output can continue executing.
		*
		* @param status ErrorStatus::NONE if successful.
		* @param status Error status returned from the asynchronous task, must be:
		* - NONE if asynchronous task was successful
		* - DEVICE_UNAVAILABLE if driver is offline or busy
		* - GENERAL_FAILURE if the asynchronous task resulted in an
		* unspecified error
		*/
		oneway notify(ErrorStatus status);
		};

neuralnetworks/1.0/IPreparedModel.hal

+8 −3

Original line number	Diff line number	Diff line
		@@ -36,11 +36,16 @@ interface IPreparedModel {
		*
		* @param request The input and output information on which the prepared
		* model is to be executed.
		* prepared model.
		* @param event A callback used for synchronization that must be signaled
		* once the execution has finished.
		* @return status ErrorStatus::NONE if the asynchronous task was
		* successfully launched.
		* @return status Error status of the call, must be:
		* - NONE if task is successfully launched
		* - DEVICE_UNAVAILABLE if driver is offline or busy
		* - GENERAL_FAILURE if there is an unspecified error
		* - OUTPUT_INSUFFICIENT_SIZE if provided output buffer is
		* not large enough to store the resultant values
		* - INVALID_ARGUMENT when one of the input arguments is
		* invalid
		*/
		execute(Request request, IEvent event) generates (ErrorStatus status);
		};

neuralnetworks/1.0/types.hal

+11 −3

Original line number	Diff line number	Diff line
		@@ -218,7 +218,7 @@ enum OperationType : int32_t {
		*
		* Inputs:
		* 0: A 4-D tensor, of shape [batches, height, width, depth_in], specifying the input.
		* 1: A 4-D tensor, of shape [depth_out, filter_height, filter_width, depth_in],
		* 1: A 4-D tensor, of shape [1, filter_height, filter_width, depth_out],
		* specifying the filter.
		* 2: A 1-D tensor, of shape [depth_out], specifying the bias.
		* For input tensor of {@link OperandType::TENSOR_FLOAT32} type, the bias should
		@@ -1105,14 +1105,16 @@ struct Operand {
		/**
		* Quantized scale of the operand.
		*
		* Only applicable if the operand is of type TENSOR_QUANT8_ASYMM.
		* Only applicable if the operand is of type TENSOR_QUANT8_ASYMM or
		* TENSOR_INT32.
		*/
		float scale;

		/**
		* Quantized zero-point offset of the operand.
		*
		* Only applicable if the operand is of type TENSOR_QUANT8_ASYMM.
		* Only applicable if the operand is of type TENSOR_QUANT8_ASYMM or
		* TENSOR_INT32.
		*/
		int32_t zeroPoint;

		@@ -1195,12 +1197,18 @@ struct Model {

		/**
		* A byte buffer containing operand data that were copied into the model.
		*
		* An operand's value must be located here if and only if Operand::lifetime
		* equals OperandLifeTime::CONSTANT_COPY.
		*/
		vec<uint8_t> operandValues;

		/**
		* A collection of shared memory pools containing operand data that were
		* registered by the model.
		*
		* An operand's value must be located here if and only if Operand::lifetime
		* equals OperandLifeTime::CONSTANT_REFERENCE.
		*/
		vec<memory> pools;
		};