winml.dll

WinMLCreateRuntime

            All trees must have their node ids start at 0 and increment by 1.

        then optionally start the crop offset by the left/top border amounts.

3: two values which are start and length or a range (to be applied on DATA)

All trees must have their node ids start at 0 and increment by 1.

Argument  needs to be passed to enable broadcasting.

At the start and end of data.

Crop and image to the specified spatial dimensions.  If scale is given,

then optionally start the crop offset by the left/top border amounts.  If scale is not provided,

 crop the borders as provided.

Enable broadcasting.

Error at operator 

Error from operator: 

Error parsing text-format 

Error when creating the network.

Error when running network 

Extension range end number must be greater than start number.

Gather the sum of start and end paddings in a padded input sequence. Used in

Must only coalesce fundamental types,

 error at input: 

Node id for this node,

 node ids may restart at zero for each tree (but not required).

Node id for this node,

 node ids must restart at zero for each tree and increase sequentially.

Non-inclusive. If a negative value is passed for any of the start or end

Optional scalar Tensor with the start of the interval (inclusive).

Pass 1 to enable broadcasting

Pass 1 to enable broadcasting.

Produces a slice of the input tensor along multiple axes. Similar to numpy: https://docs.scipy.org/doc/numpy/reference/arrays.indexing.html                                                                               Slices are passed as two keyword argument lists with starting and end indices for each dimension of the input  tensor. If a negative value is passed for any of the start or end indices,

 it represent number of elements before the end of that dimension.                                                                              is the  step sizes when applying slicing,

 negative value means in reverse order.

RangeStart + rangeLength <

= data.size()

Start >

= 0

Start <

 data.dims()[i]

Sum of all start paddings,

 or of all paddings if end_padding_sum is not provided.

TypeNameRegisterer error with type 

Unable to load model: 

Use parameter label_prob=1 to enable inputting labels as a probability

Values are generated within the half-open interval [start,

 stop) (in other words,

 the interval including start but excluding stop). When called with a single value,

 this will return  with the result type inferred from the input types.

With paddings added to the start and end of each range.