✳️Agnostic Blocks

The following blocks are defined as having a agnostic time_mode

Most blocks have an interface identical to the python package blocks. Please refer to the python package documentation linked to the respective block.

More about time_modes.

The following blocks are assigned to either Continuous or Discrete time_modes during model compilation. These block may have events associated with them

Absolute Value

https://py.collimator.ai/library/#collimator.library.Abs

Adder

https://py.collimator.ai/library/#collimator.library.Adder

Chirp

https://py.collimator.ai/library/#collimator.library.Chirp

Clock

https://py.collimator.ai/library/#collimator.library.Clock

Comparator

https://py.collimator.ai/library/#collimator.library.Comparator

Constant

https://py.collimator.ai/library/#collimator.library.Constant

Coordinate Rotation

https://py.collimator.ai/library/#collimator.library.CoordinateRotation

Coordinate Rotation Conversion

https://py.collimator.ai/library/#collimator.library.CoordinateRotationConversion

Cosine Wave

Sine Wave phase shifted by an additional np.pi / 2

https://py.collimator.ai/library/#collimator.library.Sine

Cross Product

https://py.collimator.ai/library/#collimator.library.CrossProduct

Data Source

https://py.collimator.ai/library/#collimator.library.DataSource

Dead Zone

https://py.collimator.ai/library/#collimator.library.DeadZone

Demux

https://py.collimator.ai/library/#collimator.library.Demultiplexer

Derivative

https://py.collimator.ai/library/#collimator.library.Derivative

Dot Product

https://py.collimator.ai/library/#collimator.library.DotProduct

Edge Detection

https://py.collimator.ai/library/#collimator.library.EdgeDetection

Exponent

https://py.collimator.ai/library/#collimator.library.Exponent

Gain

https://py.collimator.ai/library/#collimator.library.Gain

If Then Else

https://py.collimator.ai/library/#collimator.library.IfThenElse

Log

https://py.collimator.ai/library/#collimator.library.Logarithm

Logical Operator

https://py.collimator.ai/library/#collimator.library.LogicalOperator

Logical Reduce

https://py.collimator.ai/library/#collimator.library.LogicalReducer

Lookup Table 1D

https://py.collimator.ai/library/#collimator.library.LookupTable1d

Lookup Table 2D

https://py.collimator.ai/library/#collimator.library.LookupTable2d

Matrix Concatenation

https://py.collimator.ai/library/#collimator.library.MatrixConcatenation

Matrix Inversion

https://py.collimator.ai/library/#collimator.library.MatrixInversion

Matrix Multiplication

https://py.collimator.ai/library/#collimator.library.MatrixMultiplication

MatrixTransposition

https://py.collimator.ai/library/#collimator.library.MatrixTransposition

Mux

https://py.collimator.ai/library/#collimator.library.Multiplexer

MinMax

https://py.collimator.ai/library/#collimator.library.MinMax

Offset

https://py.collimator.ai/library/#collimator.library.Offset

Power

https://py.collimator.ai/library/#collimator.library.Power

Product

https://py.collimator.ai/library/#collimator.library.Product

Product of Elements

https://py.collimator.ai/library/#collimator.library.ProductOfElements

Quantizer

https://py.collimator.ai/library/#collimator.library.Quantizer

Rate Limiter

https://py.collimator.ai/library/#collimator.library.RateLimiter

Reciprocal

https://py.collimator.ai/library/#collimator.library.Reciprocal

Relay

https://py.collimator.ai/library/#collimator.library.Relay

Saturate

https://py.collimator.ai/library/#collimator.library.Saturate

Sawtooth

https://py.collimator.ai/library/#collimator.library.Sawtooth

Scalar Broadcast

https://py.collimator.ai/library/#collimator.library.ScalarBroadcast

Slice

https://py.collimator.ai/library/#collimator.library.Slice

Sine Wave

https://py.collimator.ai/library/#collimator.library.Sine

Square Root

https://py.collimator.ai/library/#collimator.library.SquareRoot

Stack

https://py.collimator.ai/library/#collimator.library.Stack

Step

https://py.collimator.ai/library/#collimator.library.Step

Stop

https://py.collimator.ai/library/#collimator.library.Stop

Sum of Elements

https://py.collimator.ai/library/#collimator.library.SumOfElements

Trigonometric

https://py.collimator.ai/library/#collimator.library.Trigonometric

Ramp

https://py.collimator.ai/library/#collimator.library.Ramp

Python Script

See Using the Python Script Block.

Predictor

The Predictor block in Collimator is a powerful tool that allows users to deploy machine learning models for inference. It supports two popular model formats, TensorFlow SavedModel and PyTorch TorchScript. See Using the Predictor Block.