Artificial Intelligence

🐛 Bug

Trainer profilers are typehinted with the deprecated BaseProfiler instead of Profiler. This means that you cannot use class_path initialization of profilers with LightningCLI.

Error message:

  - "pytorch_lightning.profiler.PyTorchProfiler" is not a subclass of <class 'pytorch_lightning.profiler.base.BaseProfiler'>
  - Expected a <class 'str'> but got "{'class_path':

Some tests use unittest.TestCase.assertRaises to test an exception is raised for illegal operations, but they need to be replaces with unittest.TestCase.assertRaisesRegex.

Why do we need this change?

Let's say we have a function that raises an exception:

def throw_exception(...):
    if condition_1:
        raise TypeError("condition_1")
    if condition_2:
      

Is there an existing issue for this?

• I have searched the existing issues

Environment

- Milvus version:2.0.2
- Deployment mode(standalone or cluster):standalone
- SDK version(e.g. pymilvus v2.0.0rc2):pymilvus 2.0.2, attu 2.0.5
- OS(Ubuntu or CentOS): CentOS
- CPU/Memory: 
- GPU: 
- Others:

Current Behavior

1. create collection with schema id, vector
   2

We support toml as params file. There are a few issues with our current toml parsing:

1. We use toml library, which is not toml 1.0 standard compatible. Also, the library is not being actively maintained.
2. toml dumping does not preserve existing formatting.
3. iterative/dvc#6402

We can try migrating to tomli (which

Specs

• Leon version: latest
• OS (or browser) version: Fedora 30
• Node.js version: 10.16.3
• Complete "npm run check" output:

➡ Here is the diagnosis about your current setup
✔ Run
✔ Run modules
✔ Reply you by texting
❗ Amazon Polly text-to-speech
❗ Google Cloud text-to-speech
❗ Watson text-to-speech
❗ Offline text-to-speech
❗ Google Cloud speech-to-text
❗ Watson spee

Yes

When users run our tutorial notebooks, there are quite many convoluted log messages.

For example, there is the log message regarding apex and others:

"INFO - haystack.document_stores.base -  Numba not found, replacing njit() with no-op implementation. Enable it with 'pip install numba'.\n",
"INFO - haystack.modeling.model.optimization -  apex not found, won't use it. See https://nvidia.g

2019/12/02 和Yi Wang沟通交流考虑SQLFLOW可以支持如下的特性

一、基础功能：好用的工具需要一个更加简易友好的界面，让业务开发/分析更加简单
1)设计分析类工具，提供自动联想输入、快速语法、常见语义错误，提升用户体验
应用场景：提供IDE的自动联想功能，提高开发效率；语法和基本语义提前检查，避免提交到后台，执行较长时间后报错
2)大数据量时时间较长，建议提供任务(job)管理、允许用户了解数据执行的状态、监控进度、提供动态调试、watch能力，方便用户感知和调优
应用场景：耗时任务可以快速了解整体进度，提供一些中间的过程信息、耗时等，方便用户进行调优,优化开发
3) 安全权限、用户管理、
应用场景：增加新的数据分析人员、用户权

🚨🚨 Feature Request

• A new implementation (Improvement, Extension)

Is your feature request related to a problem?

Currently, if a user tries to access an index that is larger than the dataset length or tensor length, an internal error is thrown which is not easy to understand.

Description of the possible solution

We can catch the error and throw a more descriptive e