sxjscience opened a new issue #18919:
URL: https://github.com/apache/incubator-mxnet/issues/18919
@AntiZpvoh Would you still have time to take a look?
Reproducible example:
```python
import mxnet as mx
mx.npx.set_np()
batch_size = 4
seq_length = 16
num_sel_positions = 5
feature_shape = (16, 32)
data = mx.np.random.uniform(-1, 1, (batch_size, seq_length) + feature_shape,
dtype=np.float32)
positions = mx.np.random.randint(0, seq_length, (batch_size,
num_sel_positions), dtype=np.int32)
import numpy as np
data = mx.np.random.uniform(-1, 1, (batch_size, seq_length) + feature_shape,
dtype=np.float32)
positions = mx.np.random.randint(0, seq_length, (batch_size,
num_sel_positions), dtype=np.int32)
out_np =
data.asnumpy()[np.expand_dims(np.arange(data.shape[0]).astype(np.int32),
axis=1),
positions.asnumpy()]
out_mx = data[mx.np.expand_dims(mx.npx.arange_like(data,
axis=0).astype(np.int32), axis=1), positions]
out_mx.asnumpy()
```
Error:
```
MXNetError: Traceback (most recent call last):
File "../include/mxnet/./tensor_blob.h", line 311
TBlob.get_with_shape: Check failed: this->shape_.Size() ==
static_cast<size_t>(shape.Size()) (20 vs. 4) : new and old shape do not match
total elements
```
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