Loading current.txt +1 −1 Original line number Diff line number Diff line Loading @@ -587,7 +587,7 @@ fd65298e1e09e0e3c781ab18305920d757dbe55a3b459ce17814ec5cf6dfee99 android.hardwar 07d0a252b2d8fa35887908a996ba395cf392968395fc30afab791f46e0c22a52 android.hardware.boot@1.1::IBootControl 74049a402be913963edfdd80828a53736570e9d8124a1bf18166b6ed46a6b0ab android.hardware.boot@1.1::types 34515afa2bb792d3c6d8495a5f5d907d179c8507ca5e55c10050d02ae1d516ef android.hardware.neuralnetworks@1.3::IDevice e2d20d4eb24f40b44a3766d05f77052581cb3f4df35fb48c0cc5d9cdcf5c872e android.hardware.neuralnetworks@1.3::types b74fe72cfe438f50e772e6a307657ff449d5bde83c15dd1f140ff2edbe73499c android.hardware.neuralnetworks@1.3::types 544049dcda3f943ad67d83d5277f06681a3782982a9af5a78b5d4e8d295d061a android.hardware.vibrator@1.4::IVibrator 5e1c12efbbba89c9143d10b1b90eceff8bc79aa079f5106215b528e104fef101 android.hardware.vibrator@1.4::IVibratorCallback 033eae03c09ebc75e82db37bc39995dfaa9086745577b44d9e14e9ccb48bd8cc android.hardware.vibrator@1.4::types neuralnetworks/1.2/types.t +1 −21 Original line number Diff line number Diff line Loading @@ -41,27 +41,7 @@ enum Constant : uint32_t { enum OperandType : @1.0::OperandType { %insert Operand_1.2 /* * DEPRECATED. Since HAL version 1.2, extensions are the preferred * alternative to OEM operation and data types. * * OEM specific scalar value. * OEM = 10000, */ /* * DEPRECATED. Since HAL version 1.2, extensions are the preferred * alternative to OEM operation and data types. * * A tensor of OEM specific values. * TENSOR_OEM_BYTE = 10001, */ /* ADDING A NEW FUNDAMENTAL TYPE REQUIRES UPDATING THE VALUE OF * OperandTypeRange::FUNDAMENTAL_MAX. */ /* ADDING A NEW OEM TYPE REQUIRES UPDATING THE VALUE OF * OperandTypeRange::OEM_MAX. */ %insert OEMDeprecationAndOperandTypeRangeMaxComment }; /** Loading neuralnetworks/1.3/types.hal +21 −9 Original line number Diff line number Diff line Loading @@ -25,13 +25,6 @@ import @1.2::SymmPerChannelQuantParams; import android.hidl.safe_union@1.0::Monostate; /** * NOTE: Since NNAPI 1.2, OEM operation and data type are deprecated. Extensions * are the preferred alternative. * * NOTE: Adding a new fundamental type requires updating the value of * OperandTypeRange::FUNDAMENTAL_MAX. */ enum OperandType : @1.2::OperandType { /** * A tensor of 8 bit signed integers that represent real numbers. Loading @@ -43,10 +36,29 @@ enum OperandType : @1.2::OperandType { * * The formula is: * real_value = (integer_value - zeroPoint) * scale. * * Available since API level 30. */ TENSOR_QUANT8_ASYMM_SIGNED = 14, /* * DEPRECATED. Since HAL version 1.2, extensions are the preferred * alternative to OEM operation and data types. * * OEM specific scalar value. * OEM = 10000, */ /* * DEPRECATED. Since HAL version 1.2, extensions are the preferred * alternative to OEM operation and data types. * * A tensor of OEM specific values. * TENSOR_OEM_BYTE = 10001, */ /* ADDING A NEW FUNDAMENTAL TYPE REQUIRES UPDATING THE VALUE OF * OperandTypeRange::FUNDAMENTAL_MAX. */ /* ADDING A NEW OEM TYPE REQUIRES UPDATING THE VALUE OF * OperandTypeRange::OEM_MAX. */ }; /** Loading neuralnetworks/1.3/types.t 0 → 100644 +344 −0 Original line number Diff line number Diff line %% template file for generating types.hal. %% see frameworks/ml/nn/tools/api/README.md. /* * Copyright (C) 2019 The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package android.hardware.neuralnetworks@1.3; import @1.0::DataLocation; import @1.0::OperandLifeTime; import @1.0::PerformanceInfo; import @1.2::OperandType; import @1.2::OperationType; import @1.2::SymmPerChannelQuantParams; import android.hidl.safe_union@1.0::Monostate; enum OperandType : @1.2::OperandType { %insert Operand_1.3 %insert OEMDeprecationAndOperandTypeRangeMaxComment }; /** * The range of operand values in the OperandType enum. */ enum OperandTypeRange : uint32_t { BASE_MIN = 0, FUNDAMENTAL_MIN = 0, %insert Operand_1.3_MAX OEM_MIN = 10000, OEM_MAX = 10001, BASE_MAX = 0xFFFF, }; /** * The capabilities of a driver. * * Performance of an operation comes from the type of its first operand. * This represents performance for non extension operand types. */ struct Capabilities { /** * Driver performance when operating on float32 data but performing * calculations with range and/or precision as low as that of the IEEE * 754 16-bit floating-point format. */ PerformanceInfo relaxedFloat32toFloat16PerformanceScalar; PerformanceInfo relaxedFloat32toFloat16PerformanceTensor; /** * Driver performance when operating on a particular data type. * In the case of float32 data, this is used when the calculations * are not relaxed. */ struct OperandPerformance { OperandType type; PerformanceInfo info; }; /** * Performance by operand type. Must be sorted by OperandType. * If a particular OperandType is not present in operandPerformance, * its performance is treated as * { .execTime = FLT_MAX, .powerUsage = FLT_MAX }. */ vec<OperandPerformance> operandPerformance; }; /** * Describes one operand of the model's graph. */ struct Operand { /** * The data type. * * Besides the values listed in {@link OperandType}, any value above * {@link OperandTypeRange::BASE_MAX} is possible and should be interpreted * as an extension type according to {@link Model::extensionNameToPrefix}. */ OperandType type; /** * Dimensions of the operand. * * For a scalar operand, dimensions.size() must be 0. * * 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. 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 * (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. * * A tensor operand with unspecified rank is represented by providing * an empty dimensions vector. */ vec<uint32_t> dimensions; /** * The number of times this operand appears as an operation input. * * (For example, if this operand appears once in one operation's * input list, and three times in another operation's input list, * then numberOfConsumers = 4.) */ uint32_t numberOfConsumers; /** * Quantized scale of the operand. * * 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. */ int32_t zeroPoint; /** * How the operand is used. */ OperandLifeTime lifetime; /** * Where to find the data for this operand. * If the lifetime is TEMPORARY_VARIABLE, MODEL_INPUT, MODEL_OUTPUT, or * NO_VALUE: * - All the fields must be 0. * If the lifetime is CONSTANT_COPY: * - location.poolIndex is 0. * - location.offset is the offset in bytes into Model.operandValues. * - location.length is set. * If the lifetime is CONSTANT_REFERENCE: * - location.poolIndex is set. * - location.offset is the offset in bytes into the specified pool. * - location.length is set. */ DataLocation location; /** * Additional parameters specific to a particular operand type. */ safe_union ExtraParams { /** * No additional parameters. */ Monostate none; /** * Symmetric per-channel quantization parameters. * * Only applicable to operands of type TENSOR_QUANT8_SYMM_PER_CHANNEL. */ SymmPerChannelQuantParams channelQuant; /** * Extension operand parameters. * * The framework treats this as an opaque data blob. * The format is up to individual extensions. */ vec<uint8_t> extension; } extraParams; }; /** * Describes one operation of the model's graph. */ struct Operation { /** * The operation type. */ OperationType type; /** * Describes the table that contains the indexes of the inputs of the * operation. The offset is the index in the operandIndexes table. */ vec<uint32_t> inputs; /** * Describes the table that contains the indexes of the outputs of the * operation. The offset is the index in the operandIndexes table. */ vec<uint32_t> outputs; }; /** * A Neural Network Model. * * This includes not only the execution graph, but also constant data such as * weights or scalars added at construction time. The only information that * may not be known is the shape of the input tensors. */ struct Model { /** * All operands included in the model. */ vec<Operand> operands; /** * All operations included in the model. * * The operations are sorted into execution order. Every operand * with lifetime MODEL_OUTPUT or TEMPORARY_VARIABLE must be * written before it is read. */ vec<Operation> operations; /** * Input indexes of the model. There must be at least one. * * Each value corresponds to the index of the operand in "operands". */ vec<uint32_t> inputIndexes; /** * Output indexes of the model. There must be at least one. * * Each value corresponds to the index of the operand in "operands". */ vec<uint32_t> outputIndexes; /** * 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 values. * * An operand's value must be located here if and only if Operand::lifetime * equals OperandLifeTime::CONSTANT_REFERENCE. */ vec<memory> pools; /** * 'true' indicates TENSOR_FLOAT32 may be calculated with range and/or * precision as low as that of the IEEE 754 16-bit floating-point format. * 'false' indicates TENSOR_FLOAT32 must be calculated using at least the * range and precision of the IEEE 754 32-bit floating-point format. */ bool relaxComputationFloat32toFloat16; /** * The mapping between extension names and prefixes of operand and * operation type values. * * An operand or operation whose numeric type value is above * {@link OperandTypeRange::BASE_MAX} or * {@link OperationTypeRange::BASE_MAX} respectively should be interpreted * as an extension operand. The low * {@link Model::ExtensionTypeEncoding::LOW_BITS_TYPE} bits of the value * correspond to the type ID within the extension and the high * {@link Model::ExtensionTypeEncoding::HIGH_BITS_PREFIX} bits encode * the "prefix", which maps uniquely to the extension name. * * For example, if a model contains an operation whose value is * 0xAAAABBBB and extensionNameToPrefix contains an entry with * prefix=0xAAAA and name="vendor.test.test_extension", then * the operation should be interpreted as the operation 0xBBBB * of the extension named vendor.test.test_extension. * * This is a one-to-one correspondence. That is, there must be at most one * prefix corresponding to each extension name and at most one extension * name corresponding to each prefix. */ vec<ExtensionNameAndPrefix> extensionNameToPrefix; /** * A correspondence between an extension name and a prefix of operand and * operation type values. */ struct ExtensionNameAndPrefix { /** * The extension name. * * See {@link Extension::name} for the format specification. */ string name; /** * The unique extension identifier within the model. * * See {@link Model::extensionNameToPrefix}. */ uint16_t prefix; }; /** * Numeric values of extension operand and operation types have the * following structure: * - 16 high bits represent the "prefix", which corresponds uniquely to the * extension name. * - 16 low bits represent the type ID within the extension. */ enum ExtensionTypeEncoding : uint8_t { HIGH_BITS_PREFIX = 16, LOW_BITS_TYPE = 16, }; }; Loading
current.txt +1 −1 Original line number Diff line number Diff line Loading @@ -587,7 +587,7 @@ fd65298e1e09e0e3c781ab18305920d757dbe55a3b459ce17814ec5cf6dfee99 android.hardwar 07d0a252b2d8fa35887908a996ba395cf392968395fc30afab791f46e0c22a52 android.hardware.boot@1.1::IBootControl 74049a402be913963edfdd80828a53736570e9d8124a1bf18166b6ed46a6b0ab android.hardware.boot@1.1::types 34515afa2bb792d3c6d8495a5f5d907d179c8507ca5e55c10050d02ae1d516ef android.hardware.neuralnetworks@1.3::IDevice e2d20d4eb24f40b44a3766d05f77052581cb3f4df35fb48c0cc5d9cdcf5c872e android.hardware.neuralnetworks@1.3::types b74fe72cfe438f50e772e6a307657ff449d5bde83c15dd1f140ff2edbe73499c android.hardware.neuralnetworks@1.3::types 544049dcda3f943ad67d83d5277f06681a3782982a9af5a78b5d4e8d295d061a android.hardware.vibrator@1.4::IVibrator 5e1c12efbbba89c9143d10b1b90eceff8bc79aa079f5106215b528e104fef101 android.hardware.vibrator@1.4::IVibratorCallback 033eae03c09ebc75e82db37bc39995dfaa9086745577b44d9e14e9ccb48bd8cc android.hardware.vibrator@1.4::types
neuralnetworks/1.2/types.t +1 −21 Original line number Diff line number Diff line Loading @@ -41,27 +41,7 @@ enum Constant : uint32_t { enum OperandType : @1.0::OperandType { %insert Operand_1.2 /* * DEPRECATED. Since HAL version 1.2, extensions are the preferred * alternative to OEM operation and data types. * * OEM specific scalar value. * OEM = 10000, */ /* * DEPRECATED. Since HAL version 1.2, extensions are the preferred * alternative to OEM operation and data types. * * A tensor of OEM specific values. * TENSOR_OEM_BYTE = 10001, */ /* ADDING A NEW FUNDAMENTAL TYPE REQUIRES UPDATING THE VALUE OF * OperandTypeRange::FUNDAMENTAL_MAX. */ /* ADDING A NEW OEM TYPE REQUIRES UPDATING THE VALUE OF * OperandTypeRange::OEM_MAX. */ %insert OEMDeprecationAndOperandTypeRangeMaxComment }; /** Loading
neuralnetworks/1.3/types.hal +21 −9 Original line number Diff line number Diff line Loading @@ -25,13 +25,6 @@ import @1.2::SymmPerChannelQuantParams; import android.hidl.safe_union@1.0::Monostate; /** * NOTE: Since NNAPI 1.2, OEM operation and data type are deprecated. Extensions * are the preferred alternative. * * NOTE: Adding a new fundamental type requires updating the value of * OperandTypeRange::FUNDAMENTAL_MAX. */ enum OperandType : @1.2::OperandType { /** * A tensor of 8 bit signed integers that represent real numbers. Loading @@ -43,10 +36,29 @@ enum OperandType : @1.2::OperandType { * * The formula is: * real_value = (integer_value - zeroPoint) * scale. * * Available since API level 30. */ TENSOR_QUANT8_ASYMM_SIGNED = 14, /* * DEPRECATED. Since HAL version 1.2, extensions are the preferred * alternative to OEM operation and data types. * * OEM specific scalar value. * OEM = 10000, */ /* * DEPRECATED. Since HAL version 1.2, extensions are the preferred * alternative to OEM operation and data types. * * A tensor of OEM specific values. * TENSOR_OEM_BYTE = 10001, */ /* ADDING A NEW FUNDAMENTAL TYPE REQUIRES UPDATING THE VALUE OF * OperandTypeRange::FUNDAMENTAL_MAX. */ /* ADDING A NEW OEM TYPE REQUIRES UPDATING THE VALUE OF * OperandTypeRange::OEM_MAX. */ }; /** Loading
neuralnetworks/1.3/types.t 0 → 100644 +344 −0 Original line number Diff line number Diff line %% template file for generating types.hal. %% see frameworks/ml/nn/tools/api/README.md. /* * Copyright (C) 2019 The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package android.hardware.neuralnetworks@1.3; import @1.0::DataLocation; import @1.0::OperandLifeTime; import @1.0::PerformanceInfo; import @1.2::OperandType; import @1.2::OperationType; import @1.2::SymmPerChannelQuantParams; import android.hidl.safe_union@1.0::Monostate; enum OperandType : @1.2::OperandType { %insert Operand_1.3 %insert OEMDeprecationAndOperandTypeRangeMaxComment }; /** * The range of operand values in the OperandType enum. */ enum OperandTypeRange : uint32_t { BASE_MIN = 0, FUNDAMENTAL_MIN = 0, %insert Operand_1.3_MAX OEM_MIN = 10000, OEM_MAX = 10001, BASE_MAX = 0xFFFF, }; /** * The capabilities of a driver. * * Performance of an operation comes from the type of its first operand. * This represents performance for non extension operand types. */ struct Capabilities { /** * Driver performance when operating on float32 data but performing * calculations with range and/or precision as low as that of the IEEE * 754 16-bit floating-point format. */ PerformanceInfo relaxedFloat32toFloat16PerformanceScalar; PerformanceInfo relaxedFloat32toFloat16PerformanceTensor; /** * Driver performance when operating on a particular data type. * In the case of float32 data, this is used when the calculations * are not relaxed. */ struct OperandPerformance { OperandType type; PerformanceInfo info; }; /** * Performance by operand type. Must be sorted by OperandType. * If a particular OperandType is not present in operandPerformance, * its performance is treated as * { .execTime = FLT_MAX, .powerUsage = FLT_MAX }. */ vec<OperandPerformance> operandPerformance; }; /** * Describes one operand of the model's graph. */ struct Operand { /** * The data type. * * Besides the values listed in {@link OperandType}, any value above * {@link OperandTypeRange::BASE_MAX} is possible and should be interpreted * as an extension type according to {@link Model::extensionNameToPrefix}. */ OperandType type; /** * Dimensions of the operand. * * For a scalar operand, dimensions.size() must be 0. * * 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. 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 * (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. * * A tensor operand with unspecified rank is represented by providing * an empty dimensions vector. */ vec<uint32_t> dimensions; /** * The number of times this operand appears as an operation input. * * (For example, if this operand appears once in one operation's * input list, and three times in another operation's input list, * then numberOfConsumers = 4.) */ uint32_t numberOfConsumers; /** * Quantized scale of the operand. * * 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. */ int32_t zeroPoint; /** * How the operand is used. */ OperandLifeTime lifetime; /** * Where to find the data for this operand. * If the lifetime is TEMPORARY_VARIABLE, MODEL_INPUT, MODEL_OUTPUT, or * NO_VALUE: * - All the fields must be 0. * If the lifetime is CONSTANT_COPY: * - location.poolIndex is 0. * - location.offset is the offset in bytes into Model.operandValues. * - location.length is set. * If the lifetime is CONSTANT_REFERENCE: * - location.poolIndex is set. * - location.offset is the offset in bytes into the specified pool. * - location.length is set. */ DataLocation location; /** * Additional parameters specific to a particular operand type. */ safe_union ExtraParams { /** * No additional parameters. */ Monostate none; /** * Symmetric per-channel quantization parameters. * * Only applicable to operands of type TENSOR_QUANT8_SYMM_PER_CHANNEL. */ SymmPerChannelQuantParams channelQuant; /** * Extension operand parameters. * * The framework treats this as an opaque data blob. * The format is up to individual extensions. */ vec<uint8_t> extension; } extraParams; }; /** * Describes one operation of the model's graph. */ struct Operation { /** * The operation type. */ OperationType type; /** * Describes the table that contains the indexes of the inputs of the * operation. The offset is the index in the operandIndexes table. */ vec<uint32_t> inputs; /** * Describes the table that contains the indexes of the outputs of the * operation. The offset is the index in the operandIndexes table. */ vec<uint32_t> outputs; }; /** * A Neural Network Model. * * This includes not only the execution graph, but also constant data such as * weights or scalars added at construction time. The only information that * may not be known is the shape of the input tensors. */ struct Model { /** * All operands included in the model. */ vec<Operand> operands; /** * All operations included in the model. * * The operations are sorted into execution order. Every operand * with lifetime MODEL_OUTPUT or TEMPORARY_VARIABLE must be * written before it is read. */ vec<Operation> operations; /** * Input indexes of the model. There must be at least one. * * Each value corresponds to the index of the operand in "operands". */ vec<uint32_t> inputIndexes; /** * Output indexes of the model. There must be at least one. * * Each value corresponds to the index of the operand in "operands". */ vec<uint32_t> outputIndexes; /** * 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 values. * * An operand's value must be located here if and only if Operand::lifetime * equals OperandLifeTime::CONSTANT_REFERENCE. */ vec<memory> pools; /** * 'true' indicates TENSOR_FLOAT32 may be calculated with range and/or * precision as low as that of the IEEE 754 16-bit floating-point format. * 'false' indicates TENSOR_FLOAT32 must be calculated using at least the * range and precision of the IEEE 754 32-bit floating-point format. */ bool relaxComputationFloat32toFloat16; /** * The mapping between extension names and prefixes of operand and * operation type values. * * An operand or operation whose numeric type value is above * {@link OperandTypeRange::BASE_MAX} or * {@link OperationTypeRange::BASE_MAX} respectively should be interpreted * as an extension operand. The low * {@link Model::ExtensionTypeEncoding::LOW_BITS_TYPE} bits of the value * correspond to the type ID within the extension and the high * {@link Model::ExtensionTypeEncoding::HIGH_BITS_PREFIX} bits encode * the "prefix", which maps uniquely to the extension name. * * For example, if a model contains an operation whose value is * 0xAAAABBBB and extensionNameToPrefix contains an entry with * prefix=0xAAAA and name="vendor.test.test_extension", then * the operation should be interpreted as the operation 0xBBBB * of the extension named vendor.test.test_extension. * * This is a one-to-one correspondence. That is, there must be at most one * prefix corresponding to each extension name and at most one extension * name corresponding to each prefix. */ vec<ExtensionNameAndPrefix> extensionNameToPrefix; /** * A correspondence between an extension name and a prefix of operand and * operation type values. */ struct ExtensionNameAndPrefix { /** * The extension name. * * See {@link Extension::name} for the format specification. */ string name; /** * The unique extension identifier within the model. * * See {@link Model::extensionNameToPrefix}. */ uint16_t prefix; }; /** * Numeric values of extension operand and operation types have the * following structure: * - 16 high bits represent the "prefix", which corresponds uniquely to the * extension name. * - 16 low bits represent the type ID within the extension. */ enum ExtensionTypeEncoding : uint8_t { HIGH_BITS_PREFIX = 16, LOW_BITS_TYPE = 16, }; };
