Implement OpFromGraph in PyTorch backend #956

ricardoV94 · 2024-07-30T17:17:26Z

Do you need to compile the inner function? Is that a thing in PyTorch?

I was following what numba does where it jits the inner function - we could remove the inner torch.compile and just return op.fgraph if that seems more reasonable. That will still lead to some c-linker issues fwiw.

I removed the inner function, you only need to do indexing if the number of return values is more than 1

Numba can only have inner compiled functions, I don't know if that's a requirement in pytorch, and whether it has any advantages. We don't do it for JAX

I do not see / know of any requirement to have an inner compiled function.

Ch0ronomato · 2024-07-27T04:03:22Z

The code that is generated for fgraph_fn doesn't have enough of the locals / globals atm to actually execute the function

torch._dynamo.exc.InternalTorchDynamoError: module 'pytensor.link.utils' has no attribute 'elemwise_fn'

I'm working on fixing it

hey @ricardoV94 ; I spent of time debugging this but I'm not able to get anyway. Some things I've tried

I tried setting the local_env and global_env passed to compile_to_src to have those functions included in the callable that gets compiled by torch, but that didn't seem to help

I enabled eager mode execution, and it threw an error from the pytensor c linker - should that be happening? I disabled graph optimizations as well, and completely removing torch.compile (in the Pytorch JITLinker)

Could you clarify for me if the c linker should be running, and if not what stuff I might be missing? Otherwise, if you happen to have suggestions on what to check lmk.
Also I tried joining the gitter, but the link seems broken 😓

Sorry we don't have a gitter, where did you find the link so we can remove it?

No C code shouldn't be involved although I guess it could be called during optimization of the inner graph

got it - for the gitter it's under the community tag here https://pytensor.readthedocs.io/en/latest/index.html#pytensor-community.

The c error in question if it helps - however I did try to run these with PYTENSOR_FLAGS="optimizer=None" and fast-compile but I was still seeing the error

> raise CompileError( f"Compilation failed (return status={status}):\n{' '.join(cmd)}\n{compile_stderr}" E pytensor.link.c.exceptions.CompileError: Compilation failed (return status=1): E /opt/anaconda3/envs/pytensor-dev/bin/clang++ -dynamiclib -g -O3 -fno-math-errno -Wno-unused-label -Wno-unused-variable -Wno-write-strings -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -fPIC -undefined dynamic_lookup -I/opt/anaconda3/envs/pytensor-dev/lib/python3.10/site-packages/numpy/core/include -I/opt/anaconda3/envs/pytensor-dev/include/python3.10 -I/Users/ischweer/dev/pytensor/pytensor/link/c/c_code -L/opt/anaconda3/envs/pytensor-dev/lib -fvisibility=hidden -o /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/medd18106a84c2e4f7b8beb5e52d5bb1d3f6f08a810be55e8472522fafe746dd7.so /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp E /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp:585:9: error: non-constant-expression cannot be narrowed from type 'ssize_t' (aka 'long') to 'int' in initializer list [-Wc++11-narrowing] E V5_stride0, V5_stride1, E ^~~~~~~~~~ E /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp:585:9: note: insert an explicit cast to silence this issue E V5_stride0, V5_stride1, E ^~~~~~~~~~ E static_cast<int>( ) E /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp:585:21: error: non-constant-expression cannot be narrowed from type 'ssize_t' (aka 'long') to 'int' in initializer list [-Wc++11-narrowing] E V5_stride0, V5_stride1, E ^~~~~~~~~~ E /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp:585:21: note: insert an explicit cast to silence this issue E V5_stride0, V5_stride1, E ^~~~~~~~~~ E static_cast<int>( ) E /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp:586:1: error: non-constant-expression cannot be narrowed from type 'ssize_t' (aka 'long') to 'int' in initializer list [-Wc++11-narrowing] E V3_stride0, V3_stride1, E ^~~~~~~~~~ E /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp:586:1: note: insert an explicit cast to silence this issue E V3_stride0, V3_stride1, E ^~~~~~~~~~ E static_cast<int>( ) E /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp:586:13: error: non-constant-expression cannot be narrowed from type 'ssize_t' (aka 'long') to 'int' in initializer list [-Wc++11-narrowing] E V3_stride0, V3_stride1, E ^~~~~~~~~~ E /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp:586:13: note: insert an explicit cast to silence this issue E V3_stride0, V3_stride1, E ^~~~~~~~~~ E static_cast<int>( ) E /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp:587:1: error: non-constant-expression cannot be narrowed from type 'ssize_t' (aka 'long') to 'int' in initializer list [-Wc++11-narrowing] E V1_stride0, V1_stride1 E ^~~~~~~~~~ E /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp:587:1: note: insert an explicit cast to silence this issue E V1_stride0, V1_stride1 E ^~~~~~~~~~ E static_cast<int>( ) E /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp:587:13: error: non-constant-expression cannot be narrowed from type 'ssize_t' (aka 'long') to 'int' in initializer list [-Wc++11-narrowing] E V1_stride0, V1_stride1 E ^~~~~~~~~~ E /Users/ischweer/.pytensor/compiledir_macOS-14.3-arm64-arm-64bit-arm-3.10.14-64/tmpqcvbz8_y/mod.cpp:587:13: note: insert an explicit cast to silence this issue E V1_stride0, V1_stride1 E ^~~~~~~~~~ E static_cast<int>( ) E 6 errors generated. E E Apply node that caused the error: Add(*0-<Matrix(float64, shape=(?, ?))>, *1-<Matrix(float64, shape=(?, ?))>) E Toposort index: 0 E Inputs types: [TensorType(float64, shape=(None, None)), TensorType(float64, shape=(None, None))] E E Backtrace when the node is created (use PyTensor flag traceback__limit=N to make it longer): E File "/opt/anaconda3/envs/pytensor-dev/lib/python3.10/site-packages/pluggy/_callers.py", line 103, in _multicall E res = hook_impl.function(*args) E File "/opt/anaconda3/envs/pytensor-dev/lib/python3.10/site-packages/_pytest/runner.py", line 173, in pytest_runtest_call E item.runtest() E File "/opt/anaconda3/envs/pytensor-dev/lib/python3.10/site-packages/_pytest/python.py", line 1632, in runtest E self.ihook.pytest_pyfunc_call(pyfuncitem=self) E File "/opt/anaconda3/envs/pytensor-dev/lib/python3.10/site-packages/pluggy/_hooks.py", line 513, in __call__ E return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult) E File "/opt/anaconda3/envs/pytensor-dev/lib/python3.10/site-packages/pluggy/_manager.py", line 120, in _hookexec E return self._inner_hookexec(hook_name, methods, kwargs, firstresult) E File "/opt/anaconda3/envs/pytensor-dev/lib/python3.10/site-packages/pluggy/_callers.py", line 103, in _multicall E res = hook_impl.function(*args) E File "/opt/anaconda3/envs/pytensor-dev/lib/python3.10/site-packages/_pytest/python.py", line 162, in pytest_pyfunc_call E result = testfunction(**testargs) E File "/Users/ischweer/dev/pytensor/tests/link/pytorch/test_basic.py", line 309, in test_pytorch_OpFromGraph E ofg_1 = OpFromGraph([x, y], [x + y]) E E HINT: Use a linker other than the C linker to print the inputs' shapes and strides. E HINT: Use the PyTensor flag `exception_verbosity=high` for a debug print-out and storage map footprint of this Apply node. E Apply node that caused the error: OpFromGraph{inline=False}(y, z)

One think I'm not sure is if those are just like, m1 setup specific issues I'm having (could be some warnings being more permissive than others) - if that's the case then i think eager execution is probably fine.

I've confirmed the above ^, if you set gcc__cxxflags=-Wno-c++11-narrowing and enable eager mode execution you get this to work.

PYTENSOR_FLAGS="gcc__cxxflags=-Wno-c++11-narrowing" TORCHDYNAMO_SUPPRESS_ERRORS="True" pytest -k OpFromGraph tests/link/pytorch/test_basic.py ======================================================================= test session starts ======================================================================== platform darwin -- Python 3.10.14, pytest-8.2.2, pluggy-1.5.0 benchmark: 4.0.0 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000) rootdir: /Users/ischweer/dev/pytensor configfile: pyproject.toml plugins: cov-5.0.0, sphinx-0.6.3, mock-3.14.0, benchmark-4.0.0, xdist-3.6.1 collected 14 items / 13 deselected / 1 selected tests/link/pytorch/test_basic.py . [100%] ========================================================================= warnings summary ========================================================================= pytensor/configdefaults.py:375 /Users/ischweer/dev/pytensor/pytensor/configdefaults.py:375: DeprecationWarning: Use shutil.which instead of find_executable newp = find_executable(param) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html =========================================================== 1 passed, 13 deselected, 1 warning in 4.64s ============================================================ (pytensor-dev) ➜ pytensor git:(makeopfromgraph) ✗

I'm not sure how I can add that env variable for only osx, maybe I can update a doc or smth, or even in the new m1 environment yaml? Otherwise, this all works now.

I marked the import issue as a todo in the code, and was gonna open an issue. Is that okay @ricardoV94 ?

-Original file line number
+Diff line change
@@ Expand Up / @@ -30,6 +30,7 @@ @@
         OPT_O3,
         OPT_STABILIZE,
         OPT_UNSAFE,
+        PYTORCH,
         AddDestroyHandler,
         AddFeatureOptimizer,
         Mode,
@@ Expand Down @@

-Original file line number
+Diff line change
@@ Expand Up / @@ -3,6 +3,8 @@ @@
     import torch
+    from pytensor.compile import PYTORCH
+    from pytensor.compile.builders import OpFromGraph
     from pytensor.compile.ops import DeepCopyOp
     from pytensor.graph.fg import FunctionGraph
     from pytensor.link.utils import fgraph_to_python
@@ Expand Down Expand Up / @@ -132,3 +134,17 @@ def makevector(*x): @@
             return torch.tensor(x, dtype=torch_dtype)
         return makevector
+    @pytorch_funcify.register(OpFromGraph)
+    def pytorch_funcify_OpFromGraph(op, node=None, **kwargs):
+        _ = kwargs.pop("storage_map", None)
+        PYTORCH.optimizer(op.fgraph)
+        fgraph_fn = torch.compile(pytorch_funcify(op.fgraph, **kwargs))
+        def opfromgraph(*inputs, dim=op.fgraph.outputs):
+            res = fgraph_fn(*inputs)
+            return res[0]
+        return opfromgraph

-Original file line number
+Diff line change
@@ Expand Up / @@ -5,6 +5,7 @@ @@
     import pytest
     import pytensor.tensor.basic as ptb
+    from pytensor.compile.builders import OpFromGraph
     from pytensor.compile.function import function
     from pytensor.compile.mode import get_mode
     from pytensor.compile.sharedvalue import SharedVariable, shared
@@ Expand All / @@ -14,7 +15,7 @@ @@
     from pytensor.graph.op import Op
     from pytensor.raise_op import CheckAndRaise
     from pytensor.tensor import alloc, arange, as_tensor, empty, eye
-    from pytensor.tensor.type import matrix, scalar, vector
+    from pytensor.tensor.type import matrices, matrix, scalar, vector
     torch = pytest.importorskip("torch")
@@ Expand Down Expand Up / @@ -301,3 +302,25 @@ def test_pytorch_MakeVector(): @@
         x_fg = FunctionGraph([], [x])
         compare_pytorch_and_py(x_fg, [])
+    def test_pytorch_OpFromGraph():
+        x, y, z = matrices("xyz")
+        ofg_1 = OpFromGraph([x, y], [x + y])
+        OpFromGraph([x, y], [x * y, x - y])
+        # o1, o2 = ofg_2(y, z)
+        # out = ofg_1(x, o1) + o2
+        out = ofg_1(y, z)
+        xv = np.ones((2, 2), dtype=config.floatX)
+        np.ones((2, 2), dtype=config.floatX) * 3
+        zv = np.ones((2, 2), dtype=config.floatX) * 5
+        f = FunctionGraph([y, z], [out])
+        import pytensor.printing
+        pytensor.printing.debugprint(f)
+        compare_pytorch_and_py(f, [xv, zv])

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