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pytorch/torch
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Nikita Shulga dc9b77cc55 [MPS] Support includes in metal objects (#145087) 
Useful for code reuse for Metal shader build both for eager mode and MPSInductor, but it requires one to implement `_cpp_embed_headers` tool that, as name suggests, would preprocess and embeds the for shader to be used in dynamic compilation.
Test using:
 -  `TestMetalLibrary.test_metal_include`
 - Moving `i0`/`i1` implementation to `c10/util/metal_special_math.h` and call it from `SpecialOps.metal` shader, which now looks much more compact:
 ```metal
template <typename T, typename Tout = T>
void kernel
i0(constant T* input,
   device Tout* output,
   uint index [[thread_position_in_grid]]) {
  output[index] = c10::i0(static_cast<Tout>(input[index]));
}
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145087
Approved by: https://github.com/dcci
ghstack dependencies: #145023
2025-01-18 05:35:22 +00:00
..
_awaits
_C Use torch with statement in torch distributed module (#144951) 2025-01-17 01:49:28 +00:00
_C_flatbuffer
_custom_op Delete torch._library.register_functional_op (#145110) 2025-01-18 00:58:25 +00:00
_decomp Revert "Migrate from Tuple -> tuple in torch/_decomp (#144260)" 2025-01-10 01:47:29 +00:00
_dispatch
_dynamo [Trace Python Dispatcher] Support FuncTorchInterpreter (#144444) 2025-01-17 02:26:37 +00:00
_export Revert "patch for block-wise quantization + pt2e (#144492)" 2025-01-17 14:27:53 +00:00
_functorch Revert "Make functionalization ViewMeta serializable with pickle. (#143712)" 2025-01-17 00:52:50 +00:00
_higher_order_ops [BE] typing for decorators - library (#138969) 2025-01-15 17:08:55 +00:00
_inductor Added swizzle searching, disabled fp16 accum, and enabled ping-pong for cutlass (#144829) 2025-01-18 02:39:22 +00:00
_lazy remove allow-untyped-defs from torch/_lazy/config.py (#143603) 2024-12-20 05:34:19 +00:00
_library fix typo in doc and import for torch._library.triton (#144882) 2025-01-17 17:32:12 +00:00
_logging Implement increment and add_to_set for CompileEventLogger (#143427) 2025-01-14 02:42:49 +00:00
_numpy [BE] fix ruff rule E226: add missing whitespace around operator in f-strings (#144415) 2025-01-08 21:55:00 +00:00
_prims Fix unbind_copy and add its decomposition (#134319) 2025-01-17 18:21:22 +00:00
_prims_common Fix unbind_copy and add its decomposition (#134319) 2025-01-17 18:21:22 +00:00
_refs Fix unbind_copy and add its decomposition (#134319) 2025-01-17 18:21:22 +00:00
_strobelight Propagate callable parameter types using ParamSpec (#142306) (#143797) 2024-12-29 23:03:14 +00:00
_subclasses Add generator parameter to rand*_like functions (#136780) 2025-01-15 21:16:52 +00:00
_vendor
accelerator torch/accelerator: fix device type comparison (#143541) 2024-12-23 10:54:53 +00:00
amp
ao Revert "patch for block-wise quantization + pt2e (#144492)" 2025-01-17 14:27:53 +00:00
autograd [5/N] Apply Ruff fixes and pyupgrade to Python 3.9 (#144205) 2025-01-15 04:00:47 +00:00
backends Revert "[CUDA][cuBLAS] Add fp16 accumulate option to cuBLAS/cuBLASLt (#144441)" 2025-01-16 21:12:41 +00:00
compiler Add AOTAutogradCache support for cache hot loading APIs (#144499) 2025-01-13 07:07:18 +00:00
contrib [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
cpu
csrc [pytorch/ncclx] Remove Alltoallv specialization for PTD all_to_all (#145045) 2025-01-18 05:26:55 +00:00
cuda Support with statement on torch.Stream (#140138) 2025-01-10 02:05:19 +00:00
distributed [Pipelining] Relax scale_grads assert (#145010) 2025-01-17 21:33:28 +00:00
distributions ReshapeTransform: added missing argument in docstring (#144401) 2025-01-13 17:59:59 +00:00
export [export] Support module inputs for non strict mode. (#143925) 2025-01-16 17:30:36 +00:00
fft [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
func [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
futures [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
fx [export] Support module inputs for non strict mode. (#143925) 2025-01-16 17:30:36 +00:00
jit Apply Ruff fixes and pyupgrade to torch/jit (#144208) 2025-01-16 00:28:50 +00:00
legacy
lib
linalg [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
masked Update torch.masked.mean to upcast dtype for bool tensors (#139999) 2025-01-08 10:35:19 +00:00
monitor [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
mps [MPS] Support includes in metal objects (#145087) 2025-01-18 05:35:22 +00:00
mtia Revert "[MTIA] (3/n) Implement PyTorch APIs to query/reset device peak memory usage (#143347)" 2024-12-21 04:04:16 +00:00
multiprocessing [BE][CI] bump ruff to 0.8.4 (#143753) 2024-12-24 12:24:10 +00:00
nested Fix NJT min / max backward() for non-ragged reductions (#144583) 2025-01-17 20:57:11 +00:00
nn Add strict kwarg to nn.Module.set_submodule and fix bug for non dot delineated strings (#143455) 2025-01-16 05:06:33 +00:00
onnx [ONNX] Use python_dispatcher in type promotion (#144801) 2025-01-15 23:25:19 +00:00
optim Fix loading older state_dict into AdamW after refactor (#144972) 2025-01-16 19:50:31 +00:00
package Revert "Use absolute path path.resolve() -> path.absolute() (#129409)" 2025-01-04 14:17:20 +00:00
profiler [Profiler] Fix device setting error of other backends in torch.profiler (#144237) 2025-01-10 10:41:11 +00:00
quantization
signal [BE] typing for decorators (#144161) 2025-01-04 16:40:09 +00:00
sparse
special [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
testing Make MultiProcContinuousTest timeout configurable (#145099) 2025-01-18 04:37:12 +00:00
utils [MPS] Support includes in metal objects (#145087) 2025-01-18 05:35:22 +00:00
xpu Refine torch.xpu.get_device_properties API error message (#144379) 2025-01-10 06:27:51 +00:00
__config__.py
__future__.py
__init__.py [inductor] Fix ignored options for torch.compile (#145131) 2025-01-18 03:39:49 +00:00
_appdirs.py
_classes.py
_compile.py [BE] typing for decorators (#144161) 2025-01-04 16:40:09 +00:00
_custom_ops.py
_deploy.py
_environment.py
_guards.py [ca] add compiled autograd to CompileId (#141907) 2024-12-21 00:41:24 +00:00
_jit_internal.py
_linalg_utils.py
_lobpcg.py
_lowrank.py
_meta_registrations.py [Break XPU][Inductor UT] Fix broken XPU CI introduced by community changes (#145058) 2025-01-18 01:30:24 +00:00
_namedtensor_internals.py
_ops.py Propagate callable parameter types using ParamSpec (#142306) (#144047) 2025-01-06 16:16:18 +00:00
_python_dispatcher.py
_size_docs.py remove allow-untyped-defs from torch/_size_docs.py (#143942) 2024-12-29 01:00:46 +00:00
_sources.py
_storage_docs.py
_streambase.py
_tensor.py
_tensor_docs.py Update pin memory related APIs to not pass 'device' argument (#131858) 2025-01-15 17:23:35 +00:00
_tensor_str.py
_thread_safe_fork.py
_torch_docs.py Add generator parameter to rand*_like functions (#136780) 2025-01-15 21:16:52 +00:00
_utils.py
_utils_internal.py
_VF.py
_vmap_internals.py
_weights_only_unpickler.py
abi-check.cpp
CMakeLists.txt Revert "export AOTI_TORCH_EXPORT on Windows. (#140030)" 2025-01-06 18:15:52 +00:00
custom_class.h
custom_class_detail.h Enable readability-redundant-declaration (#143982) 2024-12-31 00:20:10 +00:00
extension.h
functional.py
hub.py
library.h Enable more readability-redundant checks (#143963) 2024-12-30 14:49:33 +00:00
library.py [BE] typing for decorators - library (#138969) 2025-01-15 17:08:55 +00:00
overrides.py Add generator parameter to rand*_like functions (#136780) 2025-01-15 21:16:52 +00:00
py.typed
quasirandom.py
random.py
README.txt
return_types.py
script.h
serialization.py Prevent legacy_load when weights_only=True (correctly) (#145020) 2025-01-17 20:10:22 +00:00
storage.py Update pin memory related APIs to not pass 'device' argument (#131858) 2025-01-15 17:23:35 +00:00
torch_version.py
types.py
version.py.tpl

README.txt 

Note [TH abstraction violation]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

TH/THC provide some hpp headers, which are proper C++ headers rather than
C headers.  These headers serve double duty as *internal implementation
detail* headers, whose contents should largely not be used by external
clients.

Ideally, we would not install these headers at all; instead, you should
use public functions (in headers like `THTensor.h`, NOT `THTensor.hpp`)
to manipulate these structs.  However, there are a few places
in torch/csrc where we violate this abstraction.  They are marked with
a pointer to this note.  Each of those sites will have to be refactored
when we refactor the guts of THTensor and related structures.