onnx_diagnostic.reference.torch_ops.unary_ops

class onnx_diagnostic.reference.torch_ops.unary_ops.Abs_1(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

Abs

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.unary_ops.Cos_1(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

Cos

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.unary_ops.Erf_9(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

Erf

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.unary_ops.Exp_1(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

Exp

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.unary_ops.Identity_1(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

Identity

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.unary_ops.IsNaN_9(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

IsNaN

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.unary_ops.Log_1(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

Log

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.unary_ops.Neg_1(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

Neg

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.unary_ops.Not_1(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

Not

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.unary_ops.Reciprocal_1(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

REciprocal

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.unary_ops.Sigmoid_6(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

Sqrt

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.unary_ops.Sin_1(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

Sin

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.unary_ops.Sqrt_1(node: NodeProto, version: int | None = None, verbose: int = 0, custom_kernels: Dict[Tuple[str, str], type] | None = None)

Sqrt

run(x: OpRunTensor) → OpRunTensor

Kernel implementation.