CUDA

Reporting a bug

• [x]

Problem:

_catboost.pyx in _catboost._set_features_order_data_pd_data_frame()

_catboost.pyx in _catboost.get_cat_factor_bytes_representation()

CatBoostError: Invalid type for cat_feature[non-default value idx=1,feature_idx=336]=2.0 : cat_features must be integer or string, real number values and NaN values should be converted to string.

Could you also print a feature name, not o

Description

https://numpy.org/doc/stable/reference/generated/numpy.corrcoef.html

https://docs.cupy.dev/en/stable/reference/generated/cupy.corrcoef.html

Seems args are different

Additional Information

dtype argument added in NumPy version 1.20.

Describe the bug
series.unique() returns a cuDF.Series while it returns a numpy.ndarray for pandas.

Steps/Code to reproduce bug

In [1]: import cudf
In [2]: import pandas as pd

In [3]: type(pd.Series([1,1]).unique())
Out[3]: numpy.ndarray

In [4]: type(cudf.Series([1,1]).unique())
Out[4]: cudf.core.series.Series

Expected behavior
I would exp

请问可以直接training tmfile出来吗? 因为tengine-convert-tool covert 会有error

tengine-lite library version: 1.4-dev
Get input tensor failed

或是有例子能training出下面tmfile 呢?
![Screenshot from 2021-05-27 07-01-46](https://user-images.githubusercontent.com/40915044/11

It is a very common pitfall of Thrust users to attempt to use a __device__ lambda with Thrust algorithms or iterators that fails in silent or obscure ways.

This is frequently due to the limitation that you cannot reliably query the return type of an extended lambda in host code. Specifically

Current implementation of join can be improved by performing the operation in a single call to the backend kernel instead of multiple calls.

This is a fairly easy kernel and may be a good issue for someone getting to know CUDA/ArrayFire internals. Ping me if you want additional info.

你好，请问怎么装载 ONNX 模型，目前只看到 Oneflow->ONNX 工具，没有找到 ONNX->Oneflow 工具。

Location of incorrect documentation
Provide links and line numbers if applicable.](https://docs.rapids.ai/api/cuml/stable/api.html#cuml.cluster.HDBSCAN)

Describe the problems or issues found in the documentation
the metric default is euclidean but in the docs it states metric string or callable, optional (default='minkowski')

Suggested fix for documentation
good to include

Hey everyone!

mapd-core-cpu is already available on conda-forge (https://anaconda.org/conda-forge/omniscidb-cpu)

now we should add some instructions on the documentation.

at this moment it is available for linux and osx.

some additional information about the configuration:

1. for now, always install omniscidb-cpu inside a conda environment (also it is a good practice), eg:

In order to test manually altered IR, it would be nice to have a --skip-compilation flag for futhark test, just like we do for futhark bench.