sixquant / tensorflow-macos-gpu

Tensorflow 1.8 with CUDA on macOS High Sierra 10.13.6

SixQuant

Overview

A quick and stable data source for finance data.

提供快速稳定的金融(主要是股票)相关数据，包括实时和历史数据，数据会尽可能缓存在本地，以便提高性能同时减少服务器压力。同时，也提供了一些常用的金融辅助函数画图函数等。将来接口会全面兼容使用 RQAlpha 的 RiceQuant 和 TuShare 等常用相关库，方便用户移植代码！

• 如果觉得本项目值得期待或有价值，感谢点这里给我们加star鼓励，多谢！！！
• 如果你有任何疑问或需求想要实现，欢迎点这里提交您的需求。

Install

Install sixquant

$ pip3 install sixquant

Upgrade sixquant

$ pip3 install sixquant --upgrade

Quick Start

import sixquant as sq

print(rq.__version__)

df = sq.get_day_today_quote(dropna=True)
print(len(df))
print(df.head())

Docs

基本使用

• SixQuant-Demo

Reference

• Quant-Platform

Contributing

开发环境

• UnitTest

Todo

• ......

Change Logs

• 0.0.1 2017-11-03
  • 初始版本

License

MIT

Counter

tensorflow-macos-gpu's Issues

CUDA Toolkit 9.2 官网不提供下载了！

CUDA Toolkit 9.2 官网不提供下载了！能否提供个下载链接？

Import tensorflow illegal hardware instruction

求一个 50f552646ba1de79e07562b41f3999fe036b4fd0.tar.gz

Thanks

用bazel编译过程中会出很多问题 。。 但是直接用pip3装你编译好的包一遍就过了～～

十分感谢！！！！！！！！！！

Segmentation fault: 11

环境和配置几乎和你的一样，除了显卡是GTX 1080

2018-07-31 11:42:11.099536: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:859] OS X does not support NUMA - returning NUMA node zero
2018-07-31 11:42:11.100858: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 0 with properties: 
name: GeForce GTX 1080 major: 6 minor: 1 memoryClockRate(GHz): 1.7335
pciBusID: 0000:c2:00.0
totalMemory: 8.00GiB freeMemory: 7.79GiB
2018-07-31 11:42:11.100875: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1435] Adding visible gpu devices: 0
2018-07-31 11:42:12.798611: I tensorflow/core/common_runtime/gpu/gpu_device.cc:923] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-07-31 11:42:12.798633: I tensorflow/core/common_runtime/gpu/gpu_device.cc:929]      0 
2018-07-31 11:42:12.798638: I tensorflow/core/common_runtime/gpu/gpu_device.cc:942] 0:   N 
2018-07-31 11:42:12.799160: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1053] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7528 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080, pci bus id: 0000:c2:00.0, compute capability: 6.1)
2018-07-31 11:42:12.799482: E tensorflow/stream_executor/cuda/cuda_driver.cc:936] failed to allocate 7.35G (7893723136 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY
2018-07-31 11:42:12.799563: E tensorflow/stream_executor/cuda/cuda_driver.cc:936] failed to allocate 6.62G (7104350720 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY
>>> print("hello, {}".format(m))  # => "hello, [[4.]]"
Segmentation fault: 11