Loading current.txt +1 −6 Original line number Diff line number Diff line Loading @@ -644,12 +644,7 @@ ee9dc34b9925b8367b1111c72bd6d9d375432735e451572ca5a665d8516a7744 android.hardwar eee3430cc86c97c7b407495863d8fb61da6f1a64b7721e77b9b4909b11b174e9 android.hardware.neuralnetworks@1.3::IPreparedModelCallback acf84925f8ee0a651f2ec547ac334034de266479b93af5434f6c1f25e66aba96 android.hardware.neuralnetworks@1.3::types e9080d04218e98512b63aace9ff3da52f0130238391f15cbbf7df396a3ec9072 android.hardware.neuralnetworks@1.3::types # b/155508675, b/155662254, b/155238914, b/155660285 3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi a64467bae843569f0d465c5be7f0c7a5b987985b55a3ef4794dd5afc68538650 android.hardware.wifi.supplicant@1.3::ISupplicant 44445b8a03d7b9e68b2fbd954672c18a8fce9e32851b0692f4f4ab3407f86ecb android.hardware.wifi.supplicant@1.3::ISupplicantStaIface 619fc9839ec6e369cfa9b28e3e9412e6885720ff8f9b5750c1b6ffb905120391 android.hardware.wifi.supplicant@1.3::ISupplicantStaIfaceCallback c9273429fcf98d797d3bb07fdba6f1be95bf960f9255cde169fd1ca4db85f856 android.hardware.wifi.supplicant@1.3::ISupplicantStaNetwork 9b0a3ab6f4f74b971ed094426d8a443e29b512ff03e1ab50c07156396cdb2483 android.hardware.wifi.supplicant@1.3::types 583dc88b41e702e940fd954edda1beb8b4151eab55a5c6d7e69e2781bce84b59 android.hardware.neuralnetworks@1.3::types # b/156918813 a5bcd595a5108312fe2eb402e716d0b7dab8eb689a2a5f54fdef3ff71f3babd5 android.hardware.radio@1.5::types b454df853441c12f6e425e8a60dd29fda20f5e6e39b93d1103e4b37495db38aa android.hardware.radio@1.5::IRadio fcbb0742a88215ee7a6d7ce0825d253eb2b50391fc6c8c48667f9fd7f6d4549e android.hardware.radio@1.5::IRadioIndication Loading neuralnetworks/1.3/types.hal +19 −9 Original line number Diff line number Diff line Loading @@ -5102,11 +5102,15 @@ enum OperationType : int32_t { * The inputs and outputs of the two referenced subgraphs must agree with the * signature of this operation. That is, if the operation has (3 + n) inputs * and m outputs, both subgraphs must have n inputs and m outputs with the same * types as the corresponding operation inputs and outputs. * types, ranks, dimensions, scales, * zeroPoints, and extraParams as the corresponding operation inputs and * outputs. * All of the operands mentioned must have fully specified dimensions. * * Inputs: * * 0: A value of type {@link OperandType::TENSOR_BOOL8} and shape [1] * that determines which of the two referenced subgraphs to execute. * The operand must have fully specified dimensions. * * 1: A {@link OperandType::SUBGRAPH} reference to the subgraph to be * executed if the condition is true. * * 2: A {@link OperandType::SUBGRAPH} reference to the subgraph to be Loading Loading @@ -5165,13 +5169,17 @@ enum OperationType : int32_t { * Inputs: * * 0: A {@link OperandType::SUBGRAPH} reference to the condition * subgraph. The subgraph must have (m + k + n) inputs with * the same types as the corresponding inputs of the WHILE operation * and exactly one output of {@link OperandType::TENSOR_BOOL8} * and shape [1]. * the same types, ranks, dimensions, * scales, zeroPoints, and extraParams as the corresponding inputs of * the WHILE operation and exactly one output of * {@link OperandType::TENSOR_BOOL8} and shape [1]. * All of the operands mentioned must have fully specified dimensions. * * 1: A {@link OperandType::SUBGRAPH} reference to the body subgraph. * The subgraph must have (m + k + n) inputs and (m + k) outputs with * the same types as the corresponding inputs and outputs of the WHILE * operation. * the same types, ranks, dimensions, * scales, zeroPoints, and extraParams as the corresponding inputs and * outputs of the WHILE operation. * All of the operands mentioned must have fully specified dimensions. * * (m inputs): Initial values for input-output operands. * * (k inputs): Initial values for state-only operands. * * (n inputs): Values for input-only operands. Loading Loading @@ -5491,7 +5499,9 @@ struct Operand { * If a tensor operand's dimensions are not fully specified, the * dimensions of the operand are deduced from the operand * dimensions and values of the operation for which that operand * is an output. * is an output or from the corresponding {@link OperationType::IF} or * {@link OperationType::WHILE} operation input operand dimensions in the * case of referenced subgraph input operands. * * In the following situations, a tensor operand's dimensions must * be fully specified: Loading @@ -5499,8 +5509,8 @@ struct Operand { * . The operand has lifetime CONSTANT_COPY or * CONSTANT_REFERENCE. * * . The operand has lifetime SUBGRAPH_INPUT. Fully * specified dimensions must either be present in the * . The operand has lifetime SUBGRAPH_INPUT and belongs to the main * subgraph. Fully specified dimensions must either be present in the * Operand or they must be provided in the corresponding * RequestArgument. * EXCEPTION: If the input is optional and omitted Loading neuralnetworks/1.3/types.t +5 −3 Original line number Diff line number Diff line Loading @@ -264,7 +264,9 @@ struct Operand { * If a tensor operand's dimensions are not fully specified, the * dimensions of the operand are deduced from the operand * dimensions and values of the operation for which that operand * is an output. * is an output or from the corresponding {@link OperationType::IF} or * {@link OperationType::WHILE} operation input operand dimensions in the * case of referenced subgraph input operands. * * In the following situations, a tensor operand's dimensions must * be fully specified: Loading @@ -272,8 +274,8 @@ struct Operand { * . The operand has lifetime CONSTANT_COPY or * CONSTANT_REFERENCE. * * . The operand has lifetime SUBGRAPH_INPUT. Fully * specified dimensions must either be present in the * . The operand has lifetime SUBGRAPH_INPUT and belongs to the main * subgraph. Fully specified dimensions must either be present in the * Operand or they must be provided in the corresponding * RequestArgument. * EXCEPTION: If the input is optional and omitted Loading Loading
current.txt +1 −6 Original line number Diff line number Diff line Loading @@ -644,12 +644,7 @@ ee9dc34b9925b8367b1111c72bd6d9d375432735e451572ca5a665d8516a7744 android.hardwar eee3430cc86c97c7b407495863d8fb61da6f1a64b7721e77b9b4909b11b174e9 android.hardware.neuralnetworks@1.3::IPreparedModelCallback acf84925f8ee0a651f2ec547ac334034de266479b93af5434f6c1f25e66aba96 android.hardware.neuralnetworks@1.3::types e9080d04218e98512b63aace9ff3da52f0130238391f15cbbf7df396a3ec9072 android.hardware.neuralnetworks@1.3::types # b/155508675, b/155662254, b/155238914, b/155660285 3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi a64467bae843569f0d465c5be7f0c7a5b987985b55a3ef4794dd5afc68538650 android.hardware.wifi.supplicant@1.3::ISupplicant 44445b8a03d7b9e68b2fbd954672c18a8fce9e32851b0692f4f4ab3407f86ecb android.hardware.wifi.supplicant@1.3::ISupplicantStaIface 619fc9839ec6e369cfa9b28e3e9412e6885720ff8f9b5750c1b6ffb905120391 android.hardware.wifi.supplicant@1.3::ISupplicantStaIfaceCallback c9273429fcf98d797d3bb07fdba6f1be95bf960f9255cde169fd1ca4db85f856 android.hardware.wifi.supplicant@1.3::ISupplicantStaNetwork 9b0a3ab6f4f74b971ed094426d8a443e29b512ff03e1ab50c07156396cdb2483 android.hardware.wifi.supplicant@1.3::types 583dc88b41e702e940fd954edda1beb8b4151eab55a5c6d7e69e2781bce84b59 android.hardware.neuralnetworks@1.3::types # b/156918813 a5bcd595a5108312fe2eb402e716d0b7dab8eb689a2a5f54fdef3ff71f3babd5 android.hardware.radio@1.5::types b454df853441c12f6e425e8a60dd29fda20f5e6e39b93d1103e4b37495db38aa android.hardware.radio@1.5::IRadio fcbb0742a88215ee7a6d7ce0825d253eb2b50391fc6c8c48667f9fd7f6d4549e android.hardware.radio@1.5::IRadioIndication Loading
neuralnetworks/1.3/types.hal +19 −9 Original line number Diff line number Diff line Loading @@ -5102,11 +5102,15 @@ enum OperationType : int32_t { * The inputs and outputs of the two referenced subgraphs must agree with the * signature of this operation. That is, if the operation has (3 + n) inputs * and m outputs, both subgraphs must have n inputs and m outputs with the same * types as the corresponding operation inputs and outputs. * types, ranks, dimensions, scales, * zeroPoints, and extraParams as the corresponding operation inputs and * outputs. * All of the operands mentioned must have fully specified dimensions. * * Inputs: * * 0: A value of type {@link OperandType::TENSOR_BOOL8} and shape [1] * that determines which of the two referenced subgraphs to execute. * The operand must have fully specified dimensions. * * 1: A {@link OperandType::SUBGRAPH} reference to the subgraph to be * executed if the condition is true. * * 2: A {@link OperandType::SUBGRAPH} reference to the subgraph to be Loading Loading @@ -5165,13 +5169,17 @@ enum OperationType : int32_t { * Inputs: * * 0: A {@link OperandType::SUBGRAPH} reference to the condition * subgraph. The subgraph must have (m + k + n) inputs with * the same types as the corresponding inputs of the WHILE operation * and exactly one output of {@link OperandType::TENSOR_BOOL8} * and shape [1]. * the same types, ranks, dimensions, * scales, zeroPoints, and extraParams as the corresponding inputs of * the WHILE operation and exactly one output of * {@link OperandType::TENSOR_BOOL8} and shape [1]. * All of the operands mentioned must have fully specified dimensions. * * 1: A {@link OperandType::SUBGRAPH} reference to the body subgraph. * The subgraph must have (m + k + n) inputs and (m + k) outputs with * the same types as the corresponding inputs and outputs of the WHILE * operation. * the same types, ranks, dimensions, * scales, zeroPoints, and extraParams as the corresponding inputs and * outputs of the WHILE operation. * All of the operands mentioned must have fully specified dimensions. * * (m inputs): Initial values for input-output operands. * * (k inputs): Initial values for state-only operands. * * (n inputs): Values for input-only operands. Loading Loading @@ -5491,7 +5499,9 @@ struct Operand { * If a tensor operand's dimensions are not fully specified, the * dimensions of the operand are deduced from the operand * dimensions and values of the operation for which that operand * is an output. * is an output or from the corresponding {@link OperationType::IF} or * {@link OperationType::WHILE} operation input operand dimensions in the * case of referenced subgraph input operands. * * In the following situations, a tensor operand's dimensions must * be fully specified: Loading @@ -5499,8 +5509,8 @@ struct Operand { * . The operand has lifetime CONSTANT_COPY or * CONSTANT_REFERENCE. * * . The operand has lifetime SUBGRAPH_INPUT. Fully * specified dimensions must either be present in the * . The operand has lifetime SUBGRAPH_INPUT and belongs to the main * subgraph. Fully specified dimensions must either be present in the * Operand or they must be provided in the corresponding * RequestArgument. * EXCEPTION: If the input is optional and omitted Loading
neuralnetworks/1.3/types.t +5 −3 Original line number Diff line number Diff line Loading @@ -264,7 +264,9 @@ struct Operand { * If a tensor operand's dimensions are not fully specified, the * dimensions of the operand are deduced from the operand * dimensions and values of the operation for which that operand * is an output. * is an output or from the corresponding {@link OperationType::IF} or * {@link OperationType::WHILE} operation input operand dimensions in the * case of referenced subgraph input operands. * * In the following situations, a tensor operand's dimensions must * be fully specified: Loading @@ -272,8 +274,8 @@ struct Operand { * . The operand has lifetime CONSTANT_COPY or * CONSTANT_REFERENCE. * * . The operand has lifetime SUBGRAPH_INPUT. Fully * specified dimensions must either be present in the * . The operand has lifetime SUBGRAPH_INPUT and belongs to the main * subgraph. Fully specified dimensions must either be present in the * Operand or they must be provided in the corresponding * RequestArgument. * EXCEPTION: If the input is optional and omitted Loading