Commit Graph

18 Commits

Author SHA1 Message Date
Mikhail Zolotukhin
47bf30661f Directly include headers from ATen.
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/16287

Differential Revision: D13792949

Pulled By: ZolotukhinM

fbshipit-source-id: d627d8dc469df048063c70d0b5b8d33fede809a3
2019-01-24 11:22:27 -08:00
Michael Suo
f636dc9276 clang format world (#15524)
Summary:
The PR clang-formats everything in `torch/csrc/jit/` and adds it to the pre-commit hook.

Here is a list of non-mechanical changes:
- I went over each file and fixed up whenever I could tell that clang-format was clobbering comment formatting.
- Made the macros in register_prim_ops a little more clang-format friendly by omitting trailing commas
- Refactored autodiff.cpp to use a helper class with explicit state rather than a bunch of capturing lambdas
- Small improvements to the precommit hook clang-format
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15524

Differential Revision: D13547989

Pulled By: suo

fbshipit-source-id: 3ff1541bb06433ccfe6de6e33f29227a2b5bb493
2018-12-26 06:55:01 -08:00
Edward Yang
517c7c9861 Canonicalize all includes in PyTorch. (#14849)
Summary:
Anywhere we used #include "foo.h", we now say #include <foo.h>
Paths are adjusted to be rooted out of aten/src, torch/lib, or
the root level directory.

I modified CMakeLists.txt by hand to remove TH and THC from
the include paths.

I used the following script to do the canonicalization:

```
  import subprocess
  import re
  import os.path

  files = subprocess.check_output(['git', 'ls-files']).decode('utf-8').rstrip().split('\n')
  for fn in files:
      if not any(fn.endswith(suff) for suff in ['.cu', '.cpp', '.in', '.h', '.hpp', '.cu', '.cuh', '.cc']):
          continue
      if not any(fn.startswith(pref) for pref in ["aten/", "torch/"]):
          continue
      with open(fn, 'r') as f:
          c = f.read()
      def fmt(p):
          return "#include <{}>".format(p)
      def repl(m):
          p = m.group(1)
          if p in ["dlfcn.h", "unistd.h", "nvrtc.h", "cuda.h", "cuda_runtime.h", "cstdint", "cudnn.h", "Python.h", "cusparse.h", "cuda_runtime_api.h", "cuda_fp16.h", "cublas_v2.h", "stdint.h", "curand_kernel.h"]:
              return fmt(p)
          if any(p.startswith(pref) for pref in ["torch/csrc", "c10/", "ATen/", "caffe2/", "TH/", "THC/", "Eigen/", "gtest/", "zdl/", "gloo/", "onnx/", "miopen/"]):
              return fmt(p)
          for root in ["aten/src", "torch/lib", ""]:
              for bad_root in [os.path.dirname(fn), "aten/src/TH", "aten/src/THC", "torch/csrc"]:
                  new_p = os.path.relpath(os.path.join(bad_root, p), root)
                  if not new_p.startswith("../") and (os.path.exists(os.path.join(root, new_p)) or os.path.exists(os.path.join(root, new_p + ".in"))):
                      return fmt(new_p)
          print("ERROR: ", fn, p)
          return m.group(0)
      new_c = re.sub(r'#include "([^"]+)"', repl, c)
      if new_c != c:
          print(fn)
          with open(fn, 'w') as f:
              f.write(new_c)
```

Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14849

Reviewed By: dzhulgakov

Differential Revision: D13363445

Pulled By: ezyang

fbshipit-source-id: 52361f878a672785f9306c9e9ab2513128092b68
2018-12-08 19:38:30 -08:00
Bram Wasti
04d4ec285c Cleanup namespace that were moved to ATen accidentally (#12680)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12680

torch::jit shouldn't live in aten

Reviewed By: ezyang

Differential Revision: D10389502

fbshipit-source-id: f38582e61a275edccf22845c7d709a201f6a0be1
2018-10-16 01:25:08 -07:00
Adam Paszke
0ddbe668cd Improve shape analysis to cover all most commonly used ops (#11358)
Summary:
[Here's a list](https://gist.github.com/apaszke/f0821840bdcc67a977832dc58acc1b85) of ops that are in `register_aten_ops.cpp`, but aren't supported in shape prop. Everything else should work now.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11358

Differential Revision: D9753693

Pulled By: apaszke

fbshipit-source-id: efeae0126ce16cb56b8797fc5246405588bcae3c
2018-09-11 06:02:39 -07:00
Adam Paszke
f72e813c2f Allow tracing functions that take tuples of tensors as inputs (#10637)
Summary:
And return tuples.

zdevito
Pull Request resolved: https://github.com/pytorch/pytorch/pull/10637

Reviewed By: eellison

Differential Revision: D9385892

Pulled By: apaszke

fbshipit-source-id: 542f4444d909fb246d7f1d88d6fb98345de2d431
2018-08-22 15:37:10 -07:00
Peter Goldsborough
04a3616de0 Replace std::size_t with size_t (#8093) 2018-06-04 11:10:44 -04:00
Zachary DeVito
d985cf46f1
Add workaround to fix include warnings in Python 2 builds. (#6716) 2018-04-24 12:30:19 -07:00
Edward Z. Yang
acc409396b
Namespaced symbols (#5820)
* Namespaced symbols

- Our interned strings now have structure, "ns::symname" rather than just
  "symname" before.  We support efficient namespace testing for uniques
  by encoding the namespace in one byte in the Symbol internal representation.
  See torch/csrc/jit/interned_strings.h for a more in-depth implementation
  discussion.

- All uses of ksymbol are now attr::symbol (or some appropriate namespace).
  The valid namespaces are prim, attr, onnx and aten.

- Symbol is bound in Python as a qualified string "attr::symbol", EXCEPT for the
  attribute setting/getting API, whose symbols must always be attr
  symbols; they get special cased to assume strings are passed.
  There's a little bit of naughtiness in the implementation, maybe you know
  how to solve it.

- However, the g.op() convenience function assumes that you're generating
  ONNX operators, unless you explicitly qualify.

- All ATen operators and nodes have built-in interned strings generated
  for them, so you should never have to write a string literal ever again.
  The tracing code is adjusted to use it.

- ONNX exporter now properly tests to see that all operators are in
  onnx namespace before accepting the export.  This is way more
  robust than the previous exporter, which would be willing to
  export capitalized operators which were not actually ONNX operators.

- A slight organizational change for symbolic.py; this module now ONLY
  contains aten operators.  In particular, the exporter for Constant
  has moved into utils.py (along with Undefined, from the C++ side),
  since primitive ops get "special treatment."

- The un-inplacing logic in recording is more robust, so that we don't
  delete a trailing underscore from __and__.  This never affected us
  before because we didn't have any tests for it.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>
2018-03-16 13:36:11 -04:00
Adam Paszke
b239b123e4
Clean up TraceInput (#5743) 2018-03-15 19:38:33 +01:00
James Reed
55c64e5243 Add Python function calls to JIT script (#5445)
* Add Python function calls to script
* Script compiler gains a `Resolver` object that runs when it does not understand a function call. This decouples the python resolution from the conversion to IR.
2018-02-28 19:45:04 -08:00
Sam Gross
509aed6ca3
More Variable/Tensor clean-ups (#5464) 2018-02-28 16:46:47 -05:00
Sam Gross
48a3349c29
Delete dead Tensor code paths (#5417)
This deletes most of the dead Tensor code paths, including the TensorMethods cwrap and generic/Tensor.cpp.

This also moves the THNN.cwrap/.cpp generation to generate_code which can use ninja if installed.
2018-02-27 17:58:09 -05:00
Peter Goldsborough
2d5fbe6e0d Improve Variable interface (#5127)
* Improve Variable interface

* Address comments from @apaszke and @colesbury

* string ::operator= is not noexcept

* Remove ir.h from tracer_state.h to improve build times

* Make Variable a struct and pack SavedVariable fields

* Implement as_variable_ref

* grad_fn_ptr() -> grad_fn_unsafe()

* Reduce hackiness of set_type hack

* Include variable.h and edge.h in tracer_state.h because it uses them

* class Variable -> struct Variable because Windows cant even

* Make Variable::output_nr uint32_t instead of int

* Add comment about tracing state

* Replaced more static_cast<Variable&> and improve docs

* Remove SavedVariable destructor and construct members in init list

* Clarify docs for Variable

* Variable::set_version -> set_version_counter
2018-02-12 23:26:26 -05:00
Zachary DeVito
c308e03f3e
Initial GraphExecutor Implementation. (#4982)
This adds the initial implementation of graph executor for the new JIT design. It includes a few python tests ensuring that nograd, backward, and double-backward cases work for simple examples and some corner cases. More work needs to be done to performance optimize as there are many extra copies and places where we hold onto variables longer than we should. These are noted in the comments.
2018-02-02 17:45:59 -08:00
Zachary DeVito
2da43bf6f1 Make Symbol a true struct (#4717)
Previous Symbol was just a uint32_t and we converts symbolToString and
stringToSymbol. Now Symbol is a struct with a toString method, and
constructors from either BuiltinSymbols enums (e.g. kParam) or strings.

Symbol is convertible to a uint32_t to ensure it can still be used in
switch statement BuiltinSymbol case branches.
2018-01-17 21:49:28 -08:00
Edward Z. Yang
247d50e2ad Improve const-correctness of JIT.
This started off as a minor fix based on Adam's question, "why is printing
a graph not const" and snowballed into a giant yak shaving exercise.

- The Graph and Node APIs now uniformly enforce deep constness; e.g., if you
  get a const Node* or const Graph*, it is not possible to get a non-const
  Node*/Graph* somewhere else in the graph (even though the member variables
  of these are non-const.  Hooray for private access specifier.)

- A big pile of functions got const versions, most notably the printing
  functions, and functions for accessing inputs().

- REALLY IMPORTANT, BC-BREAKING CHANGE: inputs() now returns a COPY of the
  inputs, rather than a reference to the underlying.  I was forced to do this
  because there is no way to portably turn a std::vector<Node*> into a
  std::vector<const Node*>, which is necessary to provide a const-correct
  version of inputs() that enforces deep const-correctness.  I then justified
  this choice to myself with the observation that outputs() returned a
  copy (by necessity), so this makes the API more uniform.

  But making this change uncovered two very subtle bugs:

    1. If you change functions from returning a reference to returning a copy,
       the idiom node->inputs().begin() is no longer valid, because the memory
       the iterator points to immediately becomes invalid.  THIS SUCKS.
       Honestly, we should add a lint rule rejecting calling begin()/end() on
       temporaries because this is very dangerous.  To excise this pattern from
       the codebase, I added begin() and end() methods to Graph, so that we got
       rid of the graph->nodes().begin() idiom, which happens to be sound,
       despite not returning a reference, because graph_node_list is a
       non-owning reference.

    2. pybind11 doesn't handle std::vector<Node*> cast out of the box.
       Fortunately, I found a simple fix in the GitHub issues tracker
       that involved adding an extra type converter.  And yes, this
       does mean that outputs() in Python never worked correctly.

- New const_graph_node_list, which is a graph_node_list that gives you const
  Node*

There are some more miscellaneous improvements:

- Applied CR comment fixes on export.cpp; using replaceInput, and renaming
  variables for clarity.

- assertValidInput helper method added, and applied to replaceInput

- Use an explicit function to print THPObjectPtr, otherwise we get
  the wrong overload.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>
2017-11-01 09:49:53 -04:00
houseroad
6855d24ff1 Move pybind11 type_caster to different pybind.h in the corresponding folders. (#222) 2017-09-19 10:53:32 -04:00