Emgu.TF Namespace |
Class | Description | |
---|---|---|
![]() | Buffer |
Buffer holds a pointer to a block of data and its associated length.
Typically, the data consists of a serialized protocol buffer, but other data
may also be held in a buffer.
|
![]() | Function |
A tensorflow function
|
![]() | Graph |
Tensorflow Graph
|
![]() | ImportGraphDefOptions |
ImportGraphDefOptions holds options that can be passed to Graph.ImportGraphDef
|
![]() | Input |
Represents a specific input of an operation.
|
![]() | Library |
The Library that can be used to load new Tensorflow modules.
|
![]() | Operation |
Tensorflow operation
|
![]() | OperationDescription |
Operation being built. The underlying graph must outlive this
|
![]() | Output |
Represents a specific output of an operation.
|
![]() | Session |
API for driving Graph execution
|
![]() | SessionDevice |
The device for a session.
|
![]() | SessionOptions |
Tensorflow session options
|
![]() | Status |
The status
|
![]() | StatusChecker |
A status checker, during the disposal, it will throw exception if the status is not ok.
|
![]() | Tensor |
Tensor holds a multi-dimensional array of elements of a single data type.
For all types other than STRING, the data buffer stores elements
in row major order. E.g. if data is treated as a vector of TF_DataType:
element 0: index (0, ..., 0)
element 1: index (0, ..., 1)
...
The format for TF_STRING tensors is:
start_offset: array[uint64]
data: byte[...]
The string length (as a varint), followed by the contents of the string
is encoded at data[start_offset[i]]]. StringEncode and StringDecode
facilitate this encoding.
|
![]() | TfInvoke |
Entry points to the native Tensorflow library.
|
Structure | Description | |
---|---|---|
![]() | AttrMetadata |
Describes the value of an attribute on an operation.
|
Enumeration | Description | |
---|---|---|
![]() | AttrType |
Describes the type of the value of an attribute on an operation.
|
![]() | DataType |
The tensor flow datatype.
|
![]() | StatusCode |
The status code
|