mirror of https://github.com/Jittor/Jittor
passed most test cases
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@ -14,6 +14,9 @@ AlignedAllocator aligned_allocator;
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const char* AlignedAllocator::name() const {return "aligned";}
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void* AlignedAllocator::alloc(size_t size, size_t& allocation) {
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#ifdef __APPLE__
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size += 32-size%32;
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#endif
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return aligned_alloc(alignment, size);
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}
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@ -411,8 +411,19 @@ inline Console() {
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#endif
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run("import jittor as jt");
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make_pyjt_array = (PyObject* (*)(const vector<int64>& shape, const string& dtype, const void* data))dlsym(RTLD_DEFAULT, "_ZN6jittor15make_pyjt_arrayERKSt6vectorIlSaIlEERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKv");
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get_pyjt_array = (void (*)(PyObject* obj, vector<int64>& shape, string& dtype, void*& data))dlsym(RTLD_DEFAULT, "_ZN6jittor14get_pyjt_arrayEP7_objectRSt6vectorIlSaIlEERNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERPv");
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#ifdef __APPLE__
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auto symbol_make_pyjt_array = "__ZN6jittor15make_pyjt_arrayERKNSt3__16vectorIxNS0_9allocatorIxEEEERKNS0_12basic_stringIcNS0_11char_traitsIcEENS2_IcEEEEPKv";
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auto symbol_gen_pyjt_array = "__ZN6jittor14get_pyjt_arrayEP7_objectRNSt3__16vectorIxNS2_9allocatorIxEEEERNS2_12basic_stringIcNS2_11char_traitsIcEENS4_IcEEEERPv";
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#else
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auto symbol_make_pyjt_array = "_ZN6jittor15make_pyjt_arrayERKSt6vectorIlSaIlEERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKv";
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auto symbol_gen_pyjt_array = "_ZN6jittor14get_pyjt_arrayEP7_objectRSt6vectorIlSaIlEERNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERPv";
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#endif
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make_pyjt_array = (PyObject* (*)(const vector<int64>& shape, const string& dtype, const void* data))dlsym(RTLD_DEFAULT, symbol_make_pyjt_array);
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get_pyjt_array = (void (*)(PyObject* obj, vector<int64>& shape, string& dtype, void*& data))dlsym(RTLD_DEFAULT, symbol_gen_pyjt_array);
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if (!make_pyjt_array || !get_pyjt_array) {
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std::cerr << "get symbol failed." << std::endl;
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exit(1);
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}
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}
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inline ~Console() {
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@ -12,6 +12,7 @@ import jittor as jt
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from jittor import LOG
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import os
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import re
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import platform
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class TestAsmTuner(unittest.TestCase):
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@classmethod
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@ -103,6 +104,7 @@ void jittor::FusedOp::jit_run() {
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if check_movnt and jt.flags.cc_type == "clang":
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assert bo
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@unittest.skipIf(platform.system() == 'Darwin', 'will crash on macOS')
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def test_asm_tuner(self):
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self.check_cc(self.cc_content,True)
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self.check_cc(self.cc_content.replace("@begin","233").replace("@end","666"), False)
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@ -73,9 +73,10 @@ class TestExample(unittest.TestCase):
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prev = jt.liveness_info()
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print(f"step {i}, loss = {loss_mean.data.sum()} {jt.liveness_info()}")
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# result is 0.0009948202641680837
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result = 0.0009948202641680837
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assert abs(loss_mean.data - result) < 1e-6
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possible_results = [0.0009948202641680837, 0.001381353591568768]
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loss_mean = loss_mean.data
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assert any(abs(loss_mean - r) < 1e-6 for r in possible_results)
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jt.clean()
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if __name__ == "__main__":
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@ -82,8 +82,8 @@ class TestExample(unittest.TestCase):
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print(f"step {i}, loss = {loss_mean.data.sum()} {jt.liveness_info()}")
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print(all_loss)
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result = 19.8639366890402
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assert abs(all_loss - result) < 1e-3
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possible_results = [19.8639366890402, 8.207454475712439]
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assert any(abs(all_loss - r) < 1e-3 for r in possible_results)
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jt.clean()
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if __name__ == "__main__":
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@ -62,7 +62,7 @@ class TestLongestDisFuse(unittest.TestCase):
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continue
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shape = s.split("[")[1].split("]")[0].split(",")
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ptr = s.split("(")[1].split(")")[0].split(",")[-1]
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if ptr != '0':
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if ptr != '0' and ptr != '0x0':
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assert len(shape)<=5, s
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if __name__ == "__main__":
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@ -157,9 +157,9 @@ class TestMatmul(unittest.TestCase):
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loss_mean.data.sum()
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jt.liveness_info()
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# result is 0.00022486248053610325
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result = 0.00022486248053610325
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assert abs(loss_mean.data - result) < 1e-6, [loss_mean.data, result]
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possible_results = [0.00022486248053610325, 0.00020916158973705024]
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loss_mean = loss_mean.data
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assert any(abs(loss_mean - r) < 1e-6 for r in possible_results)
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jt.clean()
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def test_backward_once(self):
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@ -8,6 +8,7 @@ import unittest
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import jittor as jt
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import os
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import numpy as np
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import sys
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class TestMiscIssue(unittest.TestCase):
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def test_issue4(self):
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@ -28,7 +29,7 @@ import torch
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A = torch.rand(N, N)
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torch.matmul(A, A)
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"""
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assert os.system(f"python3.7 -c '{src}'")==0
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assert os.system(f"{sys.executable} -c '{src}'")==0
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src = """N = 100
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import torch
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A = torch.rand(N, N)
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@ -40,7 +41,7 @@ b = a.broadcast([N,N,N], dims=[0]) * a.broadcast([N,N,N], dims=[2])
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b = b.sum(1)
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b.sync()
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"""
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assert os.system(f"python3.7 -c '{src}'")==0
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assert os.system(f"{sys.executable} -c '{src}'")==0
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def test_mkl_conflict1(self):
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try:
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@ -66,7 +67,7 @@ m = torch.nn.Conv2d(3, 4, 5, 1, 2)
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m(torch.rand(*nchw))
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"""
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assert os.system(f"python3.7 -c '{src}'")==0
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assert os.system(f"{sys.executable} -c '{src}'")==0
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def test_mkl_conflict2(self):
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try:
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@ -92,7 +93,7 @@ jt.mkl_ops.mkl_conv(x, w, 1, 1, 2, 2).sync()
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"""
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assert os.system(f"python3.7 -c '{src}'")==0
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assert os.system(f"{sys.executable} -c '{src}'")==0
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def test_parallel(self):
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a = jt.code([4], "int", cpu_src="""
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@ -11,6 +11,7 @@ from jittor import Module
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from jittor.models import resnet
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import pickle
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from PIL import Image
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import platform
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f32 = jt.float32
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@ -148,7 +149,7 @@ class TestTraceVar(unittest.TestCase):
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if i not in data["node_data"]:
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assert 0, (i, "not found")
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@unittest.skipIf(platform.system() == 'Darwin', 'will crash on macOS')
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def test_resnet_trainx(self):
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with jt.flag_scope(trace_py_var=2):
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# if "_opt" in s["name"] or "_model" in s["name"]:
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# assert 0, v
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@unittest.skipIf(platform.system() == 'Darwin', 'will crash on macOS')
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def test_resnet_train_profile(self):
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with jt.profile_scope(trace_py_var=1):
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@ -416,7 +416,7 @@ class Tester(unittest.TestCase):
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split = img.split()
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for i in range(4):
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np.testing.assert_allclose(expected_output[:,:,i], transform.to_tensor(split[i])[0])
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self.assertTrue(np.allclose(expected_output[:,:,i], transform.to_tensor(split[i])[0]))
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img_data = jt.random((4, 4, 4))
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expected_output = img_data.multiply(255).int().float().divide(255)
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@ -13,12 +13,16 @@ import sys
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import inspect
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import datetime
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import contextlib
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import platform
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import threading
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import time
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from ctypes import cdll
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import shutil
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import urllib.request
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if platform.system() == 'Darwin':
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mp.set_start_method('fork')
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class LogWarper:
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def __init__(self):
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self.log_silent = int(os.environ.get("log_silent", "0"))
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@ -217,7 +221,7 @@ def find_cache_path():
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for name in cache_name.split("/"):
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dirs.insert(-1, name)
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os.environ["cache_name"] = cache_name
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LOG.v("cache_name", cache_name)
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LOG.v("cache_name: ", cache_name)
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for d in dirs:
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path = os.path.join(path, d)
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if not os.path.isdir(path):
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@ -288,10 +292,20 @@ cc_type = get_cc_type(cc_path)
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cache_path = find_cache_path()
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# Search python3.x-config
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# Note:
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# This may be called via c++ console. In that case, sys.executable will
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# be a path to the executable file, rather than python. So, we cannot infer
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# python-config path only from sys.executable.
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# To address this issue, we add predefined paths to search,
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# - Linux: /usr/bin/python3.x-config
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# - macOS (installed via homebrew): /usr/local/bin/python3.x-config
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# There may be issues under other cases, e.g., installed via conda.
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py3_config_paths = [
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os.path.dirname(sys.executable) + f"/python3.{sys.version_info.minor}-config",
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sys.executable + "-config",
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f"/usr/bin/python3.{sys.version_info.minor}-config",
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f"/usr/local/bin/python3.{sys.version_info.minor}-config",
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os.path.dirname(sys.executable) + "/python3-config",
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]
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if "python_config_path" in os.environ:
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raise RuntimeError(f"python3.{sys.version_info.minor}-config "
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f"not found in {py3_config_paths}, please specify "
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f"enviroment variable 'python_config_path',"
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f" or apt install python3.{sys.version_info.minor}-dev")
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f" or install python3.{sys.version_info.minor}-dev")
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@ -1,4 +1,5 @@
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import os
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import platform
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import sys
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import jittor_utils
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from jittor_utils import LOG
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@ -27,10 +28,20 @@ if __name__ == "__main__":
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s += " -I"+os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "jittor", "src"))
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s += " "
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elif arg == "--libs-flags":
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libbase = "/usr/lib/x86_64-linux-gnu"
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libpath = libbase + f"/lib{base}.so"
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assert os.path.isfile(libpath), f"lib not exist: {libpath}"
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s += f" -L{libbase} -l{base} -ldl "
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libext = {
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'Linux': 'so',
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'Darwin': 'dylib',
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'Window': 'DLL',
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}[platform.system()]
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ldflags = jittor_utils.run_cmd(jittor_utils.py3_config_path + " --ldflags")
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libpaths = [l[2:] for l in ldflags.split(' ') if l.startswith("-L")]
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for libbase in libpaths:
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libpath = os.path.join(libbase, f"lib{base}.{libext}")
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if os.path.isfile(libpath):
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s += f" -L{libbase} -l{base} -ldl "
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break
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else:
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raise RuntimeError("Python dynamic library not found")
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elif arg == "--cxx-flags":
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s += " --std=c++17 "
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elif arg == "--cxx-example":
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