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(self, op_descr_list, input_names, output_names, outputs_template, constants_dict=None, disconnected_tensors_d

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(self, diff_abs: float, diff_rel: float, status: ValidationStatus)

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(self, block_size)

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(self, op)

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(self, wrapped_op: WrappedOp, module_name, parent_list, instance, input_args, input_kwargs, outputs, is_inplac

(self, node: PytorchNode, children: Collection)

(self, keras_op, pytorch_node: PytorchNode, validation_result: ValidationResult, conversion_r

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self, crop_height, crop_width)

(self, iou_threshold)

(self)

(self)

(self, embed_dim=128, num_heads=8)

(self)

(self)

(self, linear_in, linear_out, alpha, *args, **kwargs)

(self)

(self, conv_pre, conv_true, conv_false, conv_shared, *args, **kwargs)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self, forward_stateless, *args, **kwargs)

(self)

(self)

(self)

(self)

(self, shape, alpha, *args, **kwargs)

(self)

(self)

(self)

(self, d_model: int, eps: float = 1e-5)

(self)

(self)

(self)

(self, tier=0, tier_statuses=None, validation_result_dict=None, conversion_res

(cls, func_raw, types, args=(), kwargs=None)

(self, *args, **kwargs)

(self, x, n)

(self, q, k, v)

(self, x)

(self, x)

(self, x)

(self, x)

(self, inputs)

(self, x)

(self, l, x, deltaA, deltaB_u, C)

(obj)

(obj)

(obj)

(obj)

(obj)

(self, tensor, self_status: ConnectivityStatus, parent_status: ConnectivityStatus, is_input)

(*ops, validate_func=validate_diff_default, channel_ordering_strategy=ChannelOrder

(self, x)

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(self, input: Tensor)

(self, input: Tensor)

(self, input: Tensor, output_size: Optional[List[int]] = None)

(self, input: Tensor, output_size: Optional[List[int]] = None)

(self, input)

(self, input: Tensor)

(self, x)