CompiledTensorEvaluator

Symbolica documentation for getting started, symbolic expressions, numerical evaluation, pattern matching, and APIs in Python and Rust.

`CompiledTensorEvaluator`

class CompiledTensorEvaluator

Native Symbolica evaluator returning tensors. Construct with TensorEvaluator.compile.

evaluate uses the number_type selected at compilation, as in Symbolica’s compiled evaluators. scalar_evaluator exposes the underlying native evaluator.

Attributes

Name	Description
`input_size`	Number of entries in each input row.
`output_shape`	Logical shape of each result tensor.
`parameters`	Symbolic inputs in evaluation order.
`scalar_evaluator`	Underlying Symbolica compiled evaluator.
`supports_real`	Whether compilation selected a real number type.

`input_size`

CompiledTensorEvaluator.input_size: builtins.int

Number of entries in each input row.

`output_shape`

CompiledTensorEvaluator.output_shape: tuple[int, ...]

Logical shape of each result tensor.

`parameters`

CompiledTensorEvaluator.parameters: builtins.list[Expression]

Symbolic inputs in evaluation order.

`scalar_evaluator`

CompiledTensorEvaluator.scalar_evaluator: typing.Any

Underlying Symbolica compiled evaluator.

`supports_real`

CompiledTensorEvaluator.supports_real: builtins.bool

Whether compilation selected a real number type.

Methods

Name	Description
`__repr__`
`evaluate`	Evaluate real or complex inputs, according to the compiled number type.

`repr`

CompiledTensorEvaluator.__repr__() -> builtins.str

`evaluate`

CompiledTensorEvaluator.evaluate(inputs: numpy.typing.ArrayLike) -> builtins.list[Tensor]

Evaluate real or complex inputs, according to the compiled number type.