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[DRAFT][FRONTEND] added support for tuples #5220
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from abc import ABCMeta, abstractmethod | ||
from dataclasses import dataclass | ||
from typing import Dict, List, Tuple, Union | ||
from types import ModuleType | ||
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def find_paths_if(iterable, pred): |
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TODO: remove duplicate
@@ -57,8 +60,7 @@ def _is_triton_tensor(o: Any) -> bool: | |||
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def _is_constexpr(o: Any) -> bool: | |||
return isinstance(o, constexpr) | |||
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return o is None or isinstance(o, (constexpr, language.core.dtype, int, bool)) |
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TODO: condition should be more generic
@@ -1304,30 +1299,92 @@ def kernel_suffix(signature, specialization): | |||
return suffix | |||
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def find_paths_if(iterable, pred): |
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TODO: remove duplication
return ret | ||
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class ASTFunction: |
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TODO: is it the right place?
@@ -261,6 +264,31 @@ | |||
] | |||
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def parse_list_string(s): |
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TODO: is it the right place ?
@@ -38,6 +38,14 @@ def wrapper(*args, **kwargs): | |||
return wrapper | |||
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def _flatten_list(lst): |
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TODO: is it the right place ?
@@ -17,6 +17,29 @@ | |||
libraries = ['cuda'] | |||
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def parse_list_string(s): |
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TODO: a lot of this file should be reused between different backends
Hi, I am interested in this(making triton jit functions support values of types as their arguments). And I am curious about will something like varrag be supported i the future? |
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