Loading current.txt +1 −1 Original line number Diff line number Diff line Loading @@ -249,7 +249,7 @@ c8bc853546dd55584611def2a9fa1d99f657e3366c976d2f60fe6b8aa6d2cb87 android.hardwar # Future changes to HALs 5804ca86611d72e5481f022b3a0c1b334217f2e4988dad25730c42af2d1f4d1c android.hardware.neuralnetworks@1.0::IDevice 12e8dca4ab7d8aadd0ef8f1b438021938e2396139e85db2ed65783b08800aa52 android.hardware.neuralnetworks@1.0::IExecutionCallback 18e6885e184fe48401c2c53f1d1b8bfb07240f40c81ae6b9d2e336fca6efdbb7 android.hardware.neuralnetworks@1.0::types 86b77e06da756a76aa3685be88765852dd982a86d8c90b8b4fc1130ed4184c8f android.hardware.neuralnetworks@1.0::types # Documentation fixups for b/78135149 9e7a0b650d0e461ece2cfec0e1072abf8676f592b41a7fb48f01e88fc3c8f780 android.hardware.broadcastradio@1.0::types Loading neuralnetworks/1.0/types.hal +48 −4 Original line number Diff line number Diff line Loading @@ -1519,6 +1519,41 @@ struct Operand { /** * Dimensions of the operand. * * For a scalar operand, dimensions.size() must be 0. * * For a tensor operand, dimensions.size() must be at least 1; * however, any of the dimensions may be unspecified. * * A tensor operand with all dimensions specified has "fully * specified" dimensions. Whenever possible (i.e., whenever the * dimensions are known at model construction time), a tensor * operand should have (but is not required to have) fully * specified dimensions, in order to enable the best possible * performance. * * 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. * * In the following situations, a tensor operand's dimensions must * be fully specified: * * . The operand has lifetime CONSTANT_COPY or * CONSTANT_REFERENCE. * * . The operand has lifetime MODEL_INPUT or MODEL_OUTPUT. Fully * specified dimensions must either be present in the * Operand or they must be provided in the corresponding * RequestArgument. * EXCEPTION: If the input or output is optional and omitted * (by setting the hasNoValue field of the corresponding * RequestArgument to true) then it need not have fully * specified dimensions. * * A tensor operand with some number of unspecified dimensions is * represented by setting each unspecified dimension to 0. */ vec<uint32_t> dimensions; Loading Loading @@ -1662,10 +1697,19 @@ struct RequestArgument { /** * Updated dimension information. * * If dimensions.size() > 0, dimension information was provided along with * the argument. This can be the case for models that accept inputs of * varying size. This can't change the rank, just the value of the * dimensions that were unspecified in the model. * If dimensions.size() > 0, dimension information was provided * along with the argument. This can be the case for models that * accept inputs of varying size. This can't change the rank, just * the value of the dimensions that were unspecified in the * model. If dimensions.size() > 0, then all dimensions must be * specified here; and any dimension that was specified in the * model must have the same value here. * * If the dimensions in the model are not fully specified, then * they must be fully specified here, unless hasNoValue is set to * true. If the dimensions in the model are fully specified, then * either dimensions.size() may be 0, or the dimensions in the * model must be identical to the dimensions here. */ vec<uint32_t> dimensions; }; Loading Loading
current.txt +1 −1 Original line number Diff line number Diff line Loading @@ -249,7 +249,7 @@ c8bc853546dd55584611def2a9fa1d99f657e3366c976d2f60fe6b8aa6d2cb87 android.hardwar # Future changes to HALs 5804ca86611d72e5481f022b3a0c1b334217f2e4988dad25730c42af2d1f4d1c android.hardware.neuralnetworks@1.0::IDevice 12e8dca4ab7d8aadd0ef8f1b438021938e2396139e85db2ed65783b08800aa52 android.hardware.neuralnetworks@1.0::IExecutionCallback 18e6885e184fe48401c2c53f1d1b8bfb07240f40c81ae6b9d2e336fca6efdbb7 android.hardware.neuralnetworks@1.0::types 86b77e06da756a76aa3685be88765852dd982a86d8c90b8b4fc1130ed4184c8f android.hardware.neuralnetworks@1.0::types # Documentation fixups for b/78135149 9e7a0b650d0e461ece2cfec0e1072abf8676f592b41a7fb48f01e88fc3c8f780 android.hardware.broadcastradio@1.0::types Loading
neuralnetworks/1.0/types.hal +48 −4 Original line number Diff line number Diff line Loading @@ -1519,6 +1519,41 @@ struct Operand { /** * Dimensions of the operand. * * For a scalar operand, dimensions.size() must be 0. * * For a tensor operand, dimensions.size() must be at least 1; * however, any of the dimensions may be unspecified. * * A tensor operand with all dimensions specified has "fully * specified" dimensions. Whenever possible (i.e., whenever the * dimensions are known at model construction time), a tensor * operand should have (but is not required to have) fully * specified dimensions, in order to enable the best possible * performance. * * 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. * * In the following situations, a tensor operand's dimensions must * be fully specified: * * . The operand has lifetime CONSTANT_COPY or * CONSTANT_REFERENCE. * * . The operand has lifetime MODEL_INPUT or MODEL_OUTPUT. Fully * specified dimensions must either be present in the * Operand or they must be provided in the corresponding * RequestArgument. * EXCEPTION: If the input or output is optional and omitted * (by setting the hasNoValue field of the corresponding * RequestArgument to true) then it need not have fully * specified dimensions. * * A tensor operand with some number of unspecified dimensions is * represented by setting each unspecified dimension to 0. */ vec<uint32_t> dimensions; Loading Loading @@ -1662,10 +1697,19 @@ struct RequestArgument { /** * Updated dimension information. * * If dimensions.size() > 0, dimension information was provided along with * the argument. This can be the case for models that accept inputs of * varying size. This can't change the rank, just the value of the * dimensions that were unspecified in the model. * If dimensions.size() > 0, dimension information was provided * along with the argument. This can be the case for models that * accept inputs of varying size. This can't change the rank, just * the value of the dimensions that were unspecified in the * model. If dimensions.size() > 0, then all dimensions must be * specified here; and any dimension that was specified in the * model must have the same value here. * * If the dimensions in the model are not fully specified, then * they must be fully specified here, unless hasNoValue is set to * true. If the dimensions in the model are fully specified, then * either dimensions.size() may be 0, or the dimensions in the * model must be identical to the dimensions here. */ vec<uint32_t> dimensions; }; Loading