mirror of https://github.com/Jittor/Jittor
improve import speed
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@ -7,7 +7,7 @@
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# This file is subject to the terms and conditions defined in
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# file 'LICENSE.txt', which is part of this source code package.
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# ***************************************************************
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__version__ = '1.1.7.11'
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__version__ = '1.1.7.12'
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from . import lock
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with lock.lock_scope():
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from . import compiler
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@ -784,11 +784,16 @@ def try_find_exe(*args):
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def check_pybt(gdb_path, python_path):
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if gdb_path=='' or python_path=='':
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return False
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ret = sp.getoutput(f"{gdb_path} --batch {python_path} -ex 'help py-bt'")
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if 'python frame' in ret:
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LOG.v("py-bt found in gdb.")
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return True
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return False
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return True
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# TODO: prev we use below code to check has py-bt or nor
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# but it is too slow, so we comment it,
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# find a better way to check py-bt exist
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# ret = sp.getoutput(f"{gdb_path} --batch {python_path} -ex 'help py-bt'")
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# if 'python frame' in ret:
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# LOG.v("py-bt found in gdb.")
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# return True
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# return False
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def check_debug_flags():
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global is_debug
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@ -449,7 +449,7 @@ def compile_src(src, h, basename):
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continue
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else:
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defs.append(def_info)
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LOG.vvv(json.dumps(def_info, indent=4))
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LOG.vvv(lambda: json.dumps(def_info, indent=4))
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# deal with defs
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if len(defs) == 0: return
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# include_name = h[4:] # remove "src/" prefix
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@ -0,0 +1,59 @@
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# ***************************************************************
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# Copyright (c) Jittor 2020, Author:
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# All Rights Reserved.
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# This file is subject to the terms and conditions defined in
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# file 'LICENSE.txt', which is part of this source code package.
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# ***************************************************************
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import jittor as jt
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import unittest
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import numpy as np
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from jittor import models
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pass_this_test = False
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try:
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jt.dirty_fix_pytorch_runtime_error()
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import torch
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import torchvision
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except Exception as e:
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pass_this_test = True
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def get_error(a, b):
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return np.abs(a-b) / max(np.abs(a), np.abs(b), 1e-5) , np.abs(a-b)
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def check(jt_mod, torch_mod, rtol=1e-2, atol=1e-5, mean_atol=1e-5):
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pa = [ p for p in jt_mod.parameters() if not p.is_stop_grad() ]
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pb = list(torch_mod.parameters())
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assert len(pa) == len(pb)
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error_count = 0
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for a,b in zip(pa, pb):
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assert a.shape == list(b.shape), (a.shape, b.shape, a.name())
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stda, meana = np.std(a.numpy()), np.mean(a.numpy())
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stdb, meanb = np.std(b.detach().numpy()), np.mean(b.detach().numpy())
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r_err, a_err = get_error(stda, stdb)
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if r_err > rtol and a_err > atol:
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error_count += 1
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print("compare std error", stda, stdb, r_err, a_err, a.name(), a.shape)
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r_err, a_err = get_error(meana, meanb)
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if r_err > rtol and a_err > mean_atol:
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error_count += 1
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print("compare mean error", meana, meanb, r_err, a_err, a.name(), a.shape)
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assert error_count == 0
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@unittest.skipIf(pass_this_test, f"pass init check, no torch found")
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class TestInit(unittest.TestCase):
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@classmethod
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def setUpClass(self):
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jt.seed(0)
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np.random.seed(0)
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torch.manual_seed(0)
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def test_conv(self):
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check(jt.nn.Conv(64, 256, 3), torch.nn.Conv2d(64, 256, 3), rtol=1e-1, mean_atol=1e-3)
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def test_resnet(self):
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check(models.resnet152(), torchvision.models.resnet152(), rtol=2e-2, mean_atol=1e-2)
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if __name__ == "__main__":
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unittest.main()
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@ -31,18 +31,20 @@ class LogWarper:
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return cc.log_capture_read()
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def _log(self, level, verbose, *msg):
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if len(msg):
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msg = " ".join([ str(m) for m in msg ])
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else:
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msg = str(msg)
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if self.log_silent or verbose > self.log_v:
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return
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ss = ""
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for m in msg:
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if callable(m):
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m = m()
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ss += str(m)
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msg = ss
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f = inspect.currentframe()
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fileline = inspect.getframeinfo(f.f_back.f_back)
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fileline = f"{os.path.basename(fileline.filename)}:{fileline.lineno}"
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if cc and hasattr(cc, "log"):
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cc.log(fileline, level, verbose, msg)
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else:
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if self.log_silent or verbose > self.log_v:
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return
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time = datetime.datetime.now().strftime("%m%d %H:%M:%S.%f")
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tid = threading.get_ident()%100
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v = f" v{verbose}" if verbose else ""
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