1ndigo

Different outputs of mlx.core.max using cpu/gpu

1

**Describe the bug** Different(maybe wrong) outputs of mlx.core.max using cpu/gpu compared to numpy **To Reproduce** ```python import mlx.core as mx import numpy as np array_mlx = mx.array([[1, 2, 3], [float('nan'),...

'mlx.core.matmul/tensordot' do not support integer type matrix operations

3

**Describe the bug** I found that mlx.core.matmul/tensordot do not support integer type matrix operations, but numpy does, and it is not stated in the mlx documentation that these two APIs...

[BUG] Unstable results in sin/arcsin/arccos calls

2

**Describe the bug** I once reproduced a bug in Pytroch, and when I converted the Pytroch method to the MLX method, I found that the problem still existed. This problem...

[BUG] nan is clipped to the upper

3

**Describe the bug** a = mx.array([float('nan')]) mx.clip(a,-1,1) = array([-1], dtype=float32) **To Reproduce** Include code snippet ```python import mlx.core as mx a = mx.array([float('nan')]) print(a) b = mx.clip(a,-1,1) print(b) ``` ...

Calculation accuracy issue about 'mlx.core.arccos'

5

**Describe the bug** float32 should have higher computational accuracy than float16, but the result of 'mlx. core. arccos' is not. Using tf.math.acos in TensorFlow to achieve the same function, it...

### Brief Description Incorrect documentation formula for oneflow.square  ### Alternatives _No response_

oneflow.matmul doesn't work for this situation

1

## Summary oneflow.matmul doesn't work for this situation ## Code to reproduce bug ```python import oneflow as flow import numpy as np x1 = flow.tensor(np.array([float('inf'), 0, -1, float('nan'), 5], dtype=np.float32))...

## Summary core dumped occurs when an empty array is processed with oneflow.dot ## Code to reproduce bug ```python import oneflow as flow import numpy as np x1 = flow.tensor(np.array([],...

## Summary core dumped occurs when an empty array is processed with oneflow.tensordot and the dims argument is 2 ## Code to reproduce bug ```python import oneflow as flow import...

## Summary oneflow.cast perform differently between cpu and cuda ## Code to reproduce bug ```python import oneflow as flow import numpy as np x1 = flow.tensor(np.array([[float('inf'), 0, -1, float('nan'), 5]],...