Myscript Notes 2.1 Key Generator Online
Myscript Notes 2.1 Key Generator Download



RedisAI is a Redis module, and as such it implements several data types and the respective commands to use them.

All of RedisAI's commands begin with the AI. prefix. The following sections describe these commands.

Many downloads like Mafia 2 Product Code may also include a crack, serial number, unlock code or keygen (key generator). If this is the case then it is usually made available in the full download archive itself. Posted in Serial/Key Generator 2015-11-06. Download latest Mafia II product cd key generator and generate your own free activation cd key. Myscript notes 2.2 registration key in Title/Summary MyScript Notes With MyScript Notes you will be able to turn notes written by hand into digital text that can be used with other applications, such as Word or Outlook. Myscript Notes V2.1.2.2-nope Download Search Tips Your search for Myscript Notes 2.2 may return better results if you avoid searching for words like: crack, serial, keygen, activation, code, hack, cracked, etc. PCWin Recovery w/ Windows Password Reset v.5.0.2 key generator Reset Windows passwords, recover files, list system drivers, and retrieve product keys. Recovery Toolbox for Word v.1.1.15.69 serials key. If you specify -onedir, the output is a folder named myscript containing supporting files and an executable named myscript. If you specify -onefile, the output is a single UNIX executable named myscript. Either executable can be started from a Terminal command line. Standard input and output work as normal through that Terminal window.

Syntax Conventions

The following conventions are used for describing the RedisAI Redis API:

COMMAND : a command or an argument name
<mandatory> : a mandatory argument
[optional] : an optional argument
' : a literal double quote character
| : an exclusive logical or operator
... : more of the same as before

AI.TENSORSET ¶

The AI.TENSORSET command stores a tensor as the value of a key.

Redis API

Arguments

key : the tensor's key name
type : the tensor's data type can be one of: FLOAT , DOUBLE , INT8 , INT16 , INT32 , INT64 , UINT8 or UINT16
shape : one or more dimensions, or the number of elements per axis, for the tensor
BLOB : indicates that data is in binary format and is provided via the subsequent data argument
VALUES : indicates that data is numeric and is provided by one or more subsequent val arguments

Return

A simple 'OK' string or an error.

Examples

Given the following: begin{equation*} A = begin{bmatrix} 1 & 2 3 & 4 end{bmatrix} end{equation*}

This will set the key 'mytensor' to the 2x2 RedisAI tensor:

Uninitialized Tensor Values

As both BLOB and VALUES are optional arguments, it is possible to use the AI.TENSORSET to create an uninitialized tensor.

Using BLOB is preferable to VALUES

While it is possible to set the tensor using binary data or numerical values, it is recommended that you use the BLOB option. It requires fewer resources and performs better compared to specifying the values discretely.

AI.TENSORGET ¶

The AI.TENSORGET command returns a tensor stored as key's value.

Redis API

Arguments

key : the tensor's key name
META : returns the tensor's metadata
format : the tensor's reply format can be one of the following:
- BLOB : returns the binary representation of the tensor's data
- VALUES : returns the numerical representation of the tensor's data

Return

Depending on the specified reply format:

META : Array containing the tensor's metadata exclusively. The returned array consists of the following elements:
1. The tensor's data type as a String
2. The tensor's shape as an Array consisting of an item per dimension
BLOB : the tensor's binary data as a String. If used together with the META option, the binary data string will put after the metadata in the array reply.
VALUES : Array containing the numerical representation of the tensor's data. If used together with the META option, the binary data string will put after the metadata in the array reply.

Examples

Given a tensor value stored at the 'mytensor' key:

The following shows how to retrieve the tensor's metadata:

The following shows how to retrieve the tensor's values as an Array:

The following shows how to retrieve the tensor's binary data as a String:

The following shows how the combine the retrieval of the tensor's metadata, and the tensor's values as an Array:

The following shows how the combine the retrieval of the tensor's metadata, and binary data as a String:

Using BLOB is preferable to VALUES

While it is possible to get the tensor as binary data or numerical values, it is recommended that you use the BLOB option. It requires fewer resources and performs better compared to returning the values discretely.

AI.MODELSET ¶

The AI.MODELSET commands stores a model as the value of a key.

Redis API

Arguments

key : the model's key name
backend : the backend for the model can be one of:
- TF : a TensorFlow backend
- TFLITE : The TensorFlow Lite backend
- TORCH : a PyTorch backend
- ONNX : a ONNX backend
device : the device that will execute the model can be of:
- CPU : a CPU device
- GPU : a GPU device
- GPU:0 , ..., GPU:n : a specific GPU device on a multi-GPU system
TAG : an optional string for tagging the model such as a version number or any arbitrary identifier
BATCHSIZE : when provided with an n that is greater than 0, the engine will batch incoming requests from multiple clients that use the model with input tensors of the same shape. When AI.MODELRUN is called the requests queue is visited and input tensors from compatible requests are concatenated along the 0th (batch) dimension until n is exceeded. The model is then run for the entire batch and the results are unpacked back to the individual requests unblocking their respective clients. If the batch size of the inputs to of first request in the queue exceeds BATCHSIZE , the request is served immediately (default value: 0).
MINBATCHSIZE : when provided with an m that is greater than 0, the engine will postpone calls to AI.MODELRUN until the batch's size had reached m . This is primarily used to force batching during testing, but it can also be used under normal operation. In this case, note that requests for which m is not reached will hang indefinitely (default value: 0).
INPUTS : one or more names of the model's input nodes (applicable only for TensorFlow models)
OUTPUTS : one or more names of the model's output nodes (applicable only for TensorFlow models)
model : the Protobuf-serialized model. Since Redis supports strings up to 512MB, blobs for very large models need to be chunked, e.g. BLOB chunk1 chunk2 ... .

Return

A simple 'OK' string or an error.

Examples

This example shows to set a model 'mymodel'

Myscript Notes 2.1 Key Generator