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Types

#include "max/c/types.h"

Typedefs​

M_Status​

typedef struct M_Status M_Status

Contains the success or failure of an API call.

In general, any API that may fail accepts a M_Status argument that is filled in with a meaningful error message on failure.

You can create this with M_newStatus(). When you’re done, call M_freeStatus().

M_RuntimeConfig​

typedef struct M_RuntimeConfig M_RuntimeConfig

Specifies the MAX Engine configuration.

Configuration properties include the number of threads, artifact path, etc.

You can create this with M_newRuntimeConfig(). When you’re done, call M_freeRuntimeConfig().

M_RuntimeContext​

typedef struct M_RuntimeContext M_RuntimeContext

Contains information that needs to be shared between APIs.

You can create this with M_newRuntimeContext(). When you’re done, call M_freeRuntimeContext().

M_CompileConfig​

typedef struct M_CompileConfig M_CompileConfig

Specifies the configuration required for model compilation.

You can create this with M_newCompileConfig(). When you’re done, call M_freeCompileConfig().

M_DeviceConfig​

typedef struct M_DeviceConfig M_DeviceConfig

M_AsyncCompiledModel​

typedef struct M_AsyncCompiledModel M_AsyncCompiledModel

Contains an async value to a compiled model.

M_AsyncCompiledModel can be passed to other APIs that accept compiled models as a function parameter. This async value will eventually resolve to a compiled model or an error in the case of compilation failure.

You can create this with M_compileModel(). When you’re done, call M_freeCompiledModel().

M_AsyncModel​

typedef struct M_AsyncModel M_AsyncModel

Contains a future used for inference.

The future will resolve to a model that’s ready for inference.

You can create this with M_initModel(). When you’re done, call M_freeModel().

M_Dtype​

typedef enum M_Dtype M_Dtype

Represents all data types supported by the framework.

M_AsyncTensor​

typedef struct M_AsyncTensor M_AsyncTensor

Contains an async value to a tensor for inference.

You can get this from M_getTensorByNameFrom(). When you’re done, call M_freeTensor().

M_TensorNameArray​

typedef struct M_TensorNameArray M_TensorNameArray

Contains an array of tensor names of model inputs or outputs.

You can get this from M_getInputNames() and M_getOutputNames(). When you’re done, call M_freeTensorNameArray().

M_TensorSpec​

typedef struct M_TensorSpec M_TensorSpec

Contains the representation of a shape and an element type.

You can create this with M_newTensorSpec(). When you’re done, call M_freeTensorSpec().

M_AsyncTensorMap​

typedef struct M_AsyncTensorMap M_AsyncTensorMap

Contains a collection of tensors.

The collection of tensors is used to represent inputs and outputs when executing a model.

You can create this with M_newAsyncTensorMap(). When you’re done, call M_freeAsyncTensorMap().

M_TensorMapIterator​

typedef struct M_TensorMapIterator M_TensorMapIterator

Contains an iterator over a collection of tensors. Note that the iteration order may not be deterministic.

M_AsyncValue​

typedef struct M_AsyncValue M_AsyncValue

Contains an async value for inference.

M_Config​

typedef struct M_Config M_Config

Contains a Config.

M_AllocatorType​

typedef enum M_AllocatorType M_AllocatorType

Contains an AllocatorType. You can choose between kCaching and kSystem kCaching trades off higher memory usage for better performance. kSystem uses the default system allocator.

M_ValueType​

typedef enum M_ValueType M_ValueType

Represents the type of a value.

M_AsyncDict​

typedef struct M_AsyncDict M_AsyncDict

Contains an async value to a dict.

M_AsyncList​

typedef struct M_AsyncList M_AsyncList

Contains an async value to a list.

M_AsyncTuple​

typedef struct M_AsyncTuple M_AsyncTuple

Contains an async value to a tuple.

M_AsyncNone​

typedef struct M_AsyncNone M_AsyncNone

Contains an async value to none.

Enums​

M_Dtype​

enum M_Dtype

Represents all data types supported by the framework.

Values:

M_UNKNOWN​

enumerator M_UNKNOWN

M_INT8​

enumerator M_INT8

M_INT16​

enumerator M_INT16

M_INT32​

enumerator M_INT32

M_INT64​

enumerator M_INT64

M_UINT8​

enumerator M_UINT8

M_UINT16​

enumerator M_UINT16

M_UINT32​

enumerator M_UINT32

M_UINT64​

enumerator M_UINT64

M_FLOAT16​

enumerator M_FLOAT16

M_FLOAT32​

enumerator M_FLOAT32

M_FLOAT64​

enumerator M_FLOAT64

M_BOOL​

enumerator M_BOOL

M_AllocatorType​

enum M_AllocatorType

Contains an AllocatorType. You can choose between kCaching and kSystem kCaching trades off higher memory usage for better performance. kSystem uses the default system allocator.

Values:

kSystem​

enumerator kSystem

kCaching​

enumerator kCaching

M_ValueType​

enum M_ValueType

Represents the type of a value.

Values:

M_STRING_VALUE​

enumerator M_STRING_VALUE

M_DOUBLE_VALUE​

enumerator M_DOUBLE_VALUE

M_LONG_VALUE​

enumerator M_LONG_VALUE

M_BOOL_VALUE​

enumerator M_BOOL_VALUE

M_TENSOR_VALUE​

enumerator M_TENSOR_VALUE

M_LIST_VALUE​

enumerator M_LIST_VALUE

M_TUPLE_VALUE​

enumerator M_TUPLE_VALUE

M_DICT_VALUE​

enumerator M_DICT_VALUE

M_NONE_VALUE​

enumerator M_NONE_VALUE

M_UNKNOWN_VALUE​

enumerator M_UNKNOWN_VALUE