Commit Graph

4 Commits

Author SHA1 Message Date
Michael Suo
dbe850af5b [jit] do the code reorg (#33851)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33851

Rationale and context described in #33828.

Script to reproduce the move:
https://gist.github.com/suo/16cbefaaeb67ca5a7c6caffd49b7f6e9
ghstack-source-id: 99079645

Test Plan: Make sure CI passes

Reviewed By: jamesr66a

Differential Revision: D20133869

fbshipit-source-id: 390e9241a9c85366d9005c492ac31f10aa96488e
2020-02-27 13:02:51 -08:00
James Reed
18bdf97dbb Factor Module into Object and Module
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/29500

Test Plan: Imported from OSS

Differential Revision: D18463064

Pulled By: jamesr66a

fbshipit-source-id: d37bef242a8626593d4b8754042152cfc0f0acb2
2019-11-17 22:58:50 -08:00
Zachary DeVito
796363147f Implement more of of the nn.Module API (#28828)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/28828

This updates torch::script::Module to more closely match the behavior
of nn.Module. In particular, it implements the (optionally recurisive)
iterators that retrieve submodules, parameters, and buffers and makes
their names match the python versions.

This also removes the individual accessors for Parameter, Module, Buffer, etc.
and replaces them with a single `attr` function which is equivalent to
writing `a.foo` in Python (`setattr` emulates `a.foo = v`).
As we build out the user-facing API for TorchScript values this will end
up matching how an  attribute is accessed on general objects.

This PR preservers the python bindings for script::Module by emulating the
old API at the binding level. A followup will clean up the usage to more
directly match the C++ API.

Test Plan: Imported from OSS

Differential Revision: D18197611

Pulled By: zdevito

fbshipit-source-id: 7ee4dcbb258605d1c988314b05d938423f1ccee5
2019-11-06 22:58:25 -08:00
Wanchao Liang
e95dc9814e introduce module interface declaration (#28408)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/28408

This enable interface to defined on a nn.Module, and the InterfaceType
now have a field of is_module_ to distinguish if it's a module interface
or a normal interface (This is similar to what ClassType distinguish on
module and torchscript classes).

The module interface can be assigned with any ScriptModule that has the
compatible signatures on schemas. A normal object that is not a
ScriptModule will not be able to assigned to an module interface and
will error out when user explicitly doing so. Assigning a ScriptModule
to class interface will make it only available in attribute_list, not
module_list. More details on subtyping relationship documented in the
jit_type.h

If you declare an module interface inside an nn.Module that is being
compiled to a ScriptModule, behavior to our internal compilation will
be:

1. ConcreteModuleType will record it as an module attribute and add to
   the attributes_ list.
2. JitType that is created from the ConcreteModuleType will record it as
   an attribute and pre-genenerate the slot. The slot will be marked as
   EntityType::MODULE still to make sure JitType record it as a Module
   slot
3. cpp_module will also register it as a Module as the Slot type is the
   source of truth

Since JitType will record it as attribute as store its type, it will
behave normally as the class interface attribute behave now. This means
the submodule assigned to this module interface is not getting inlined
into the graph as the normal `Module::attr` behave, it will generate
interface callMethod and allow us to later swap this with another
ScriptModule that implicitly implements this module interface.

Test Plan: Imported from OSS

Differential Revision: D18284311

fbshipit-source-id: e0b8f6e8c34b2087fab337a969e5ea3fb37ec209
2019-11-02 16:39:00 -07:00