tf.contrib.resampler.resampler
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Resamples input data at user defined coordinates.

tf.contrib.resampler.resampler(
    data, warp, name='resampler'
)

The resampler currently only supports bilinear interpolation of 2D data.

Args
`data`	Tensor of shape `[batch_size, data_height, data_width, data_num_channels]` containing 2D data that will be resampled.
`warp`	Tensor of minimum rank 2 containing the coordinates at which resampling will be performed. Since only bilinear interpolation is currently supported, the last dimension of the `warp` tensor must be 2, representing the (x, y) coordinate where x is the index for width and y is the index for height.
`name`	Optional name of the op.

Returns
Tensor of resampled values from `data`. The output tensor shape is determined by the shape of the warp tensor. For example, if `data` is of shape `[batch_size, data_height, data_width, data_num_channels]` and warp of shape `[batch_size, dim_0, ... , dim_n, 2]` the output will be of shape `[batch_size, dim_0, ... , dim_n, data_num_channels]`.

Raises
`ImportError`	if the wrapper generated during compilation is not present when the function is called.

Args