onnx_diagnostic.reference.torch_ops.binary_ops

class onnx_diagnostic.reference.torch_ops.binary_ops.Add_1(node: NodeProto, version: int | None = None)

Add

class onnx_diagnostic.reference.torch_ops.binary_ops.And_1(node: NodeProto, version: int | None = None)

And

class onnx_diagnostic.reference.torch_ops.binary_ops.Div_1(node: NodeProto, version: int | None = None)

Div

class onnx_diagnostic.reference.torch_ops.binary_ops.Equal_1(node: NodeProto, version: int | None = None)

Equal

class onnx_diagnostic.reference.torch_ops.binary_ops.GreaterOrEqual_1(node: NodeProto, version: int | None = None)

GreaterOrEqual

class onnx_diagnostic.reference.torch_ops.binary_ops.Greater_1(node: NodeProto, version: int | None = None)

Greater

class onnx_diagnostic.reference.torch_ops.binary_ops.LessOrEqual_1(node: NodeProto, version: int | None = None)

LessOrEqual

class onnx_diagnostic.reference.torch_ops.binary_ops.Less_1(node: NodeProto, version: int | None = None)

Less

class onnx_diagnostic.reference.torch_ops.binary_ops.MatMul_1(node: NodeProto, version: int | None = None)

MatMul

class onnx_diagnostic.reference.torch_ops.binary_ops.Mul_1(node: NodeProto, version: int | None = None)

Mul

class onnx_diagnostic.reference.torch_ops.binary_ops.OpRunBinary(node: NodeProto, version: int | None = None)

Binary Op

run(x: OpRunTensor, y: OpRunTensor) → OpRunTensor

Kernel implementation.

class onnx_diagnostic.reference.torch_ops.binary_ops.Or_1(node: NodeProto, version: int | None = None)

Or

class onnx_diagnostic.reference.torch_ops.binary_ops.Pow_12(node: NodeProto, version: int | None = None)

Pow

class onnx_diagnostic.reference.torch_ops.binary_ops.Sub_1(node: NodeProto, version: int | None = None)

Sub