let’s say I have the following code:

```
from mxnet import gluon
from mxnet import nd
weights = ... # NDArray of shape (32, 7, 7)
myLayer = gluon.nn.Conv2D(32, (7,7))
```

What’s the easiest way to initialize the weights of `myLayer`

using `weights`

?

let’s say I have the following code:

```
from mxnet import gluon
from mxnet import nd
weights = ... # NDArray of shape (32, 7, 7)
myLayer = gluon.nn.Conv2D(32, (7,7))
```

What’s the easiest way to initialize the weights of `myLayer`

using `weights`

?

Hi,

you can do `myLayer.collect_params.initialize`

as usual with the Constant Initializer. See https://mxnet.incubator.apache.org/api/python/optimization/optimization.html#mxnet.initializer.Constant

For example:

`myLayer.collect_params.initialize(mx.initializerConstant(weights))`