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Merged
merged 2 commits into from
Feb 12, 2025
Merged

[pull] master from tinygrad:master #99

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d581afd
skipdata capstone (#9026)
ignaciosica Feb 12, 2025
0c97c10
TestOps: silence pytorch std()/var() degrees of freedom warnings (#9034)
joshiemoore Feb 12, 2025
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36 changes: 22 additions & 14 deletions test/test_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,13 +2,13 @@
import numpy as np
from typing import List, Callable
import torch
import warnings
from tinygrad.helpers import getenv, IMAGE, DEBUG, CI, Context, TRANSCENDENTAL
from tinygrad import Tensor, Device, dtypes
from tinygrad.tensor import _to_np_dtype
from tinygrad.device import is_dtype_supported

if CI:
import warnings
warnings.filterwarnings("ignore", message="Non-empty compiler output encountered")

FORWARD_ONLY = getenv("FORWARD_ONLY", 0)
Expand Down Expand Up @@ -1275,18 +1275,22 @@ def test_var_axis(self):
helper_test_op([(15, 25, 35)], lambda x: x.var(2, correction=0))
helper_test_op([(15, 25, 35)], lambda x: x.var([1, 2], correction=0))
def test_var_zero_in_axis(self):
helper_test_op([(1,0,3,0,5)], lambda x: x.var(axis=(1,3)))
helper_test_op([(1,0,3,0,5)], lambda x: x.var(axis=(1,3), correction=0))
helper_test_op([(1,0,3,0,5)], lambda x: x.var(axis=(1,3), correction=5))
with warnings.catch_warnings():
warnings.filterwarnings("ignore", message="var\\(\\): degrees of freedom is <= 0")
helper_test_op([(1,0,3,0,5)], lambda x: x.var(axis=(1,3)))
helper_test_op([(1,0,3,0,5)], lambda x: x.var(axis=(1,3), correction=0))
helper_test_op([(1,0,3,0,5)], lambda x: x.var(axis=(1,3), correction=5))
def test_var_one_in_axis(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore", message="var\\(\\): degrees of freedom is <= 0")
helper_test_op([(1,2,3,1,5)], lambda x: x.var(axis=(0,3)))
helper_test_op([(1,2,3,1,5)], lambda x: x.var(axis=(0,3), correction=5))
# TODO: fix backward
helper_test_op([(1,2,3,1,5)], lambda x: x.var(axis=(0,4), correction=5), forward_only=True)
helper_test_op([(1,)], lambda x: x.var(axis=(0,), correction=0))
helper_test_op([(1,2,3,1,5)], lambda x: x.var(axis=(0,3)))
helper_test_op([(1,2,3,1,5)], lambda x: x.var(axis=(0,3), correction=0))
helper_test_op([(1,2,3,1,5)], lambda x: x.var(axis=(0,3), correction=5))
helper_test_op([(1,2,3,1,5)], lambda x: x.var(axis=(0,4)))
helper_test_op([(1,2,3,1,5)], lambda x: x.var(axis=(0,4), correction=0))
# TODO: fix backward
helper_test_op([(1,2,3,1,5)], lambda x: x.var(axis=(0,4), correction=5), forward_only=True)
def test_var_keepdim(self):
helper_test_op([(15, 25, 35)], lambda x: x.var(keepdim=True))
helper_test_op([(15, 25, 35)], lambda x: x.var(0, keepdim=True, correction=0))
Expand All @@ -1303,18 +1307,22 @@ def test_std_axis(self):
helper_test_op([(15, 25, 35)], lambda x: x.std(2, correction=0))
helper_test_op([(15, 25, 35)], lambda x: x.std([1, 2], correction=0))
def test_std_zero_in_axis(self):
helper_test_op([(1,0,3,0,5)], lambda x: x.std(axis=(1,3)))
helper_test_op([(1,0,3,0,5)], lambda x: x.std(axis=(1,3), correction=0))
helper_test_op([(1,0,3,0,5)], lambda x: x.std(axis=(1,3), correction=5))
with warnings.catch_warnings():
warnings.filterwarnings("ignore", message="std\\(\\): degrees of freedom is <= 0")
helper_test_op([(1,0,3,0,5)], lambda x: x.std(axis=(1,3)))
helper_test_op([(1,0,3,0,5)], lambda x: x.std(axis=(1,3), correction=0))
helper_test_op([(1,0,3,0,5)], lambda x: x.std(axis=(1,3), correction=5))
def test_std_one_in_axis(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore", message="std\\(\\): degrees of freedom is <= 0")
helper_test_op([(1,2,3,1,5)], lambda x: x.std(axis=(0,3)))
helper_test_op([(1,2,3,1,5)], lambda x: x.std(axis=(0,3), correction=5))
helper_test_op([(1,2,3,1,5)], lambda x: x.std(axis=(0,4), correction=5))
# TODO: fix backward
helper_test_op([(1,)], lambda x: x.std(axis=(0,), correction=0), forward_only=True)
helper_test_op([(1,2,3,1,5)], lambda x: x.std(axis=(0,3)))
helper_test_op([(1,2,3,1,5)], lambda x: x.std(axis=(0,3), correction=0), forward_only=True)
helper_test_op([(1,2,3,1,5)], lambda x: x.std(axis=(0,3), correction=5))
helper_test_op([(1,2,3,1,5)], lambda x: x.std(axis=(0,4)))
helper_test_op([(1,2,3,1,5)], lambda x: x.std(axis=(0,4), correction=0))
helper_test_op([(1,2,3,1,5)], lambda x: x.std(axis=(0,4), correction=5))
def test_std_keepdim(self):
helper_test_op([(15, 25, 35)], lambda x: x.std(keepdim=True))
helper_test_op([(15, 25, 35)], lambda x: x.std(0, keepdim=True, correction=0))
Expand Down
1 change: 1 addition & 0 deletions tinygrad/helpers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -277,6 +277,7 @@ def capstone_flatdump(lib: bytes):
case 'x86_64' | 'AMD64': cs = capstone.Cs(capstone.CS_ARCH_X86, capstone.CS_MODE_64)
case 'aarch64' | 'arm64': cs = capstone.Cs(capstone.CS_ARCH_ARM64, capstone.CS_MODE_ARM)
case machine: raise NotImplementedError(f"Capstone disassembly isn't supported for {machine}")
cs.skipdata = True
for instr in cs.disasm(lib, 0):
print(f"{instr.address:#08x}: {instr.mnemonic}\t{instr.op_str}")
sys.stdout.flush()
Expand Down
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