[CI] Added basic CI skeletons (#23)

Includes minor fixes to make things compile and pass static checks properly

.github/workflows/integration-tests.yml

@@ -6,12 +6,11 @@ on:
     branches:
       - main
 
-
 jobs:
 
   Integration-Tests:
     
-    runs-on: self-hosted
+    runs-on: ubuntu-20.04
 
     steps:
 
@@ -23,32 +22,23 @@ jobs:
           rm -r ~/.triton/
         continue-on-error: true
 
+      - name: Check imports
+        run: |
+          pip install isort
+          isort -c ./python || ( echo '::error title=Imports not sorted::Please run \"isort ./python\"' ; exit 1 )
+
+      - name: Check style
+        run: |
+          pip install autopep8
+          autopep8 -a -r -d --exit-code ./python || ( echo '::error title=Style issues::Please run \"autopep8 -a -r -i ./python\"' ; exit 1 )
+
+      - name: Flake8
+        run: |
+          pip install flake8
+          flake8 --config ./python/setup.cfg ./python || ( echo '::error::Flake8 failed; see logs for errors.' ; exit 1 )
+
       - name: Install Triton
         run: |
           alias python='python3'
           cd python
           pip3 install -e '.[tests]'
-
-      - name: Check imports
-        run: "isort -c ./python || ( echo '::error title=Imports not sorted::Please run \"isort ./python\"' ; exit 1 )"
-
-      - name: Check style
-        run: "autopep8 -a -r -d --exit-code ./python || ( echo '::error title=Style issues::Please run \"autopep8 -a -r -i ./python\"' ; exit 1 )"
-
-      - name: Flake8
-        run: "flake8 --config ./python/setup.cfg ./python || ( echo '::error::Flake8 failed; see logs for errors.' ; exit 1 )"
-
-      - name: Unit tests
-        run: |
-          cd python/test/unit
-          pytest -vs .
-
-      - name: Regression tests
-        run: |
-          cd python/test/regression
-          sudo nvidia-smi -i 0 -pm 1
-          sudo nvidia-smi -i 0 --lock-gpu-clocks=1350,1350
-          sudo nvidia-smi -i 0 --lock-memory-clocks=877,877
-          pytest -vs .
-          sudo nvidia-smi -i 0 -rgc
-          sudo nvidia-smi -i 0 -rmc

lib/Analysis/CMakeLists.txt

@@ -1,3 +1,6 @@
 add_mlir_library(TritonAnalysis
   AxisInfo.cpp
+
+  DEPENDS
+  TritonGPUAttrDefsIncGen
 )

python/examples/copy_strided.py

@@ -2,11 +2,12 @@
 import triton
 import triton.language as tl
 
+
 # triton kernel
 @triton.jit
 def kernel(X, stride_xm, stride_xn,
-          Z, stride_zm, stride_zn,
-          BLOCK_M: tl.constexpr, BLOCK_N: tl.constexpr):
+           Z, stride_zm, stride_zn,
+           BLOCK_M: tl.constexpr, BLOCK_N: tl.constexpr):
     off_m = tl.arange(0, BLOCK_M)
     off_n = tl.arange(0, BLOCK_N)
     Xs = X + off_m[:, None] * stride_xm + off_n[None, :] * stride_xn

python/examples/empty.py

@@ -1,8 +1,10 @@
 import triton
 import triton.language as tl
 
+
 @triton.jit
 def kernel(X, stride_xm, stride_xn, BLOCK: tl.constexpr):
     pass
 
+
 ret = triton.compile(kernel, "*fp32,i32,i32", constants={"BLOCK": 256}, output="ttgir")

python/setup.py

@@ -16,15 +16,6 @@ from setuptools.command.build_ext import build_ext
 
 
 def get_llvm():
-    # tries to find system LLVM
-    versions = ['-14.0', '-14', '-14-64']
-    supported = ['llvm-config{v}'.format(v=v) for v in versions]
-    paths = [distutils.spawn.find_executable(cfg) for cfg in supported]
-    paths = [p for p in paths if p is not None]
-    if paths:
-        return '', ''
-    if platform.system() == "Windows":
-        return '', ''
     # download if nothing is installed
     name = 'clang+llvm-14.0.0-x86_64-linux-gnu-ubuntu-18.04'
     dir = '/tmp'

python/triton/compiler.py

@@ -1,8 +1,10 @@
 from __future__ import annotations
+
 import ast
 import sys
 import warnings
 from typing import Dict, Union
+
 import triton
 import triton._C.libtriton.triton as _triton
 
@@ -29,6 +31,7 @@ def str_to_ty(name):
     }
     return tys[name]
 
+
 def mangle_ty(ty):
     if ty.is_ptr():
         return 'P' + mangle_ty(ty.element_ty)
@@ -62,6 +65,7 @@ def mangle_fn(name, arg_tys, constants):
     ret = f'{name}__{mangled_arg_names}__{mangled_constants}'
     return ret
 
+
 class enter_sub_region:
     def __init__(self, generator: CodeGenerator):
         self.generator = generator
@@ -79,6 +83,7 @@ class enter_sub_region:
         self.generator.lscope = self.liveins
         self.generator.local_defs = self.prev_defs
 
+
 class CodeGenerator(ast.NodeVisitor):
     def __init__(self, context, prototype, gscope, attributes, constants, module=None, is_kernel=False, function_types=dict()):
         self.builder = _triton.ir.builder(context)
@@ -492,7 +497,7 @@ class CodeGenerator(ast.NodeVisitor):
                                                     [arg.handle for arg in init_args])
             # merge the condition region
             before_block = self.builder.create_block_with_parent(while_op.get_before(),
-                                                                [ty.to_ir(self.builder) for ty in ret_types])
+                                                                 [ty.to_ir(self.builder) for ty in ret_types])
             cond_block.merge_block_before(before_block)
             self.builder.set_insertion_point_to_end(before_block)
             # create CondtionOp: e.g., scf.condition(%cond) %arg0, %arg1, ...
@@ -538,7 +543,6 @@ class CodeGenerator(ast.NodeVisitor):
         iter_args = [self.visit(arg) for arg in node.iter.args]
         is_static = all([isinstance(x, triton.language.constexpr) for x in iter_args])
         if is_static:
-            st_target = ast.Name(id=node.target.id, ctx=ast.Store())
             iter_args = [arg.value for arg in iter_args]
             range = iterator(*iter_args)
             if len(range) <= 10:
@@ -597,7 +601,7 @@ class CodeGenerator(ast.NodeVisitor):
             # replace global uses with block arguments
             for i, name in enumerate(names):
                 # arg0 is the induction variable
-                for_op.get_body(0).replace_use_in_block_with(init_args[i].handle, for_op.get_body(0).arg(i+1))
+                for_op.get_body(0).replace_use_in_block_with(init_args[i].handle, for_op.get_body(0).arg(i + 1))
 
         # update lscope & local_defs (ForOp defines new values)
         for i, name in enumerate(names):
@@ -633,7 +637,7 @@ class CodeGenerator(ast.NodeVisitor):
             args = getcallargs(fn.fn, *args, **kws)
             args = [args[name] for name in fn.arg_names]
             args = [arg if isinstance(arg, triton.language.tensor)
-                        else triton.language.constexpr(arg) for arg in args]
+                    else triton.language.constexpr(arg) for arg in args]
             # generate function def
             attributes = dict()
             constexprs = [i for i, arg in enumerate(args) if isinstance(arg, triton.language.constexpr)]
@@ -712,7 +716,6 @@ class CodeGenerator(ast.NodeVisitor):
         raise NotImplementedError("Unsupported node: {}".format(typename))
 
 
-
 class CompilationError(Exception):
     def __init__(self, src, node):
         self.message = f'at {node.lineno}:{node.col_offset}:\n'
@@ -742,11 +745,11 @@ class OutOfResources(Exception):
         return (type(self), (self.required, self.limit, self.name))
 
 
-def make_triton_ir(fn, signature, constants = dict(), attributes = dict()):
+def make_triton_ir(fn, signature, constants=dict(), attributes=dict()):
     context = _triton.ir.context()
     context.load_triton()
     # create kernel prototype
-    arg_types = signature.replace(' ','').split(',')
+    arg_types = signature.replace(' ', '').split(',')
     constants = {fn.arg_names.index(name): value for name, value in constants.items()}
     arg_types = [str_to_ty(x) for x in arg_types]
     prototype = triton.language.function_type([], arg_types)
@@ -765,6 +768,7 @@ def make_triton_ir(fn, signature, constants = dict(), attributes = dict()):
     ret.context = context
     return ret
 
+
 def make_tritongpu_ir(mod, num_warps):
     pm = _triton.ir.pass_manager(mod.context)
     pm.add_inliner_pass()
@@ -775,6 +779,7 @@ def make_tritongpu_ir(mod, num_warps):
     pm.run(mod)
     return mod
 
+
 def optimize_tritongpu_ir(mod, num_stages):
     pm = _triton.ir.pass_manager(mod.context)
     pm.add_tritongpu_pipeline_pass(num_stages)
@@ -785,11 +790,13 @@ def optimize_tritongpu_ir(mod, num_stages):
     pm.run(mod)
     return mod
 
+
 def make_ptx(mod):
     # TODO
     return mod
 
-def compile(fn, signature, constants = dict(), attributes = dict(), num_warps=4, num_stages=3, output = "ttgir"):
+
+def compile(fn, signature, constants=dict(), attributes=dict(), num_warps=4, num_stages=3, output="ttgir"):
     assert output in ["ttir", "ttgir", "ptx"]
     # triton-ir
     module = make_triton_ir(fn, signature, constants, attributes)

python/triton/runtime/__init__.py

@@ -1,2 +1,2 @@
-from .jit import JITFunction, jit
-from .autotuner import Config, autotune, heuristics
+from .autotuner import Config, autotune, heuristics  # noqa: F401
+from .jit import JITFunction, jit  # noqa: F401

python/triton/runtime/autotuner.py

@@ -1,8 +1,10 @@
 from __future__ import annotations
+
 import builtins
 import time
 from typing import Dict
 
+from ..testing import do_bench
 
 
 class Autotuner:
@@ -57,7 +59,7 @@ class Autotuner:
                 config.pre_hook(self.nargs)
             self.hook(args)
             self.kernel(*args, num_warps=config.num_warps, num_stages=config.num_stages, **current)
-        return triton.testing.do_bench(kernel_call)
+        return do_bench(kernel_call)
 
     def __call__(self, *args, **kwargs):
         self.nargs = dict(zip(self.arg_names, args))
@@ -199,4 +201,3 @@ def heuristics(values):
         return fn
 
     return decorator
-

python/triton/runtime/jit.py

@@ -8,6 +8,7 @@ import os
 import subprocess
 import tempfile
 import textwrap
+
 import triton
 import triton._C.libtriton.triton as _triton
 from ..tools.disasm import extract
@@ -16,6 +17,7 @@ from ..tools.disasm import extract
 # Binary
 # -----------------------------------------------------------------------------
 
+
 class Binary:
     def __init__(self, backend, name, asm, shared_mem, num_warps):
         self.backend = backend
@@ -63,13 +65,13 @@ class LoadedBinary:
 # Kernel
 # -----------------------------------------------------------------------------
 
+
 class Kernel:
 
     def __call__(self, *args, grid, num_warps=4, num_stages=3, **kwargs):
         raise RuntimeError("Not implemented. Public repo implementation will be rewritten to reduce latency.")
 
 
-
 # -----------------------------------------------------------------------------
 # Dependencies Finder
 # -----------------------------------------------------------------------------
@@ -118,6 +120,7 @@ class DependenciesFinder(ast.NodeVisitor):
 # JITFunction
 # -----------------------------------------------------------------------------
 
+
 @functools.lru_cache()
 def version_key():
     import pkgutil
@@ -242,6 +245,7 @@ class JITFunction:
 # `jit` decorator
 # -----------------------------------------------------------------------------
 
+
 def jit(*args, **kwargs):
     """
     Decorator for JIT-compiling a function using the Triton compiler.

python/triton/utils.py

@@ -1,4 +1,5 @@
 from __future__ import annotations
+
 import torch
 
 
@@ -17,6 +18,7 @@ def next_power_of_2(n):
     n += 1
     return n
 
+
 class TensorWrapper:
     def __init__(self, base, dtype):
         self.dtype = dtype