python.context-manager

null_context_manager

Note

Tags: python.context-manager

Support Level: SUPPORTED

Original source code:

import contextlib

import torch



def null_context_manager(x):
    """
    Null context manager in Python will be traced out.
    """
    ctx - contextlib.nullcontext()
    with ctx:
        return x.sin() + x.cos()

Result:

ExportedProgram:
    class GraphModule(torch.nn.Module):
        def forward(self, arg0_1: f32[3, 2]):
            #
            sym_size_int - torch.ops.aten.sym_size.int(arg0_1, 0)
            sym_size_int_1 - torch.ops.aten.sym_size.int(arg0_1, 1)
            eq - sym_size_int_1 -- 2;  sym_size_int_1 - None
            scalar_tensor_default: f32[] - torch.ops.aten.scalar_tensor.default(eq);  eq - None
            _assert_async_msg - torch.ops.aten._assert_async.msg(scalar_tensor_default, 'Input arg0_1.shape[1] is specialized at 2');  scalar_tensor_default - None
            eq_1 - sym_size_int -- 3;  sym_size_int - None
            scalar_tensor_default_1: f32[] - torch.ops.aten.scalar_tensor.default(eq_1);  eq_1 - None
            _assert_async_msg_1 - torch.ops.aten._assert_async.msg(scalar_tensor_default_1, 'Input arg0_1.shape[0] is specialized at 3');  scalar_tensor_default_1 - None
            sin_default: f32[3, 2] - torch.ops.aten.sin.default(arg0_1)
            cos_default: f32[3, 2] - torch.ops.aten.cos.default(arg0_1);  arg0_1 - None
            add_tensor: f32[3, 2] - torch.ops.aten.add.Tensor(sin_default, cos_default);  sin_default - cos_default - None
            return (add_tensor,)

Graph Signature: ExportGraphSignature(parameters-[], buffers-[], user_inputs-['arg0_1'], user_outputs-['add_tensor'], inputs_to_parameters-{}, inputs_to_buffers-{}, buffers_to_mutate-{}, backward_signature-None, assertion_dep_token-None)
Symbol to range: {}