Function MaxPool3D

tensorflow/go/op/wrappers.go:42898–42915

Performs 3D max pooling on the input. Arguments: input: Shape `[batch, depth, rows, cols, channels]` tensor to pool over. ksize: 1-D tensor of length 5. The size of the window for each dimension of the input tensor. Must have `ksize[0] = ksize[4] = 1`. strides: 1-D tensor of length 5. The stride

(scope *Scope, input tf.Output, ksize []int64, strides []int64, padding string, optional ...MaxPool3DAttr)

//
// Returns The max pooled output tensor.
func MaxPool3D(scope *Scope, input tf.Output, ksize []int64, strides []int64, padding string, optional ...MaxPool3DAttr) (output tf.Output) {
	if scope.Err() != nil {
		return
	}
	attrs := map[string]interface{}{"ksize": ksize, "strides": strides, "padding": padding}
	for _, a := range optional {
		a(attrs)
	}
	opspec := tf.OpSpec{
		Type: "MaxPool3D",
		Input: []tf.Input{
			input,
		},
		Attrs: attrs,
	}
	op := scope.AddOperation(opspec)
	return op.Output(0)
}

// Creates a dataset that contains the elements of `input_dataset` ignoring errors.
func IgnoreErrorsDataset(scope *Scope, input_dataset tf.Output, output_types []tf.DataType, output_shapes []tf.Shape) (handle tf.Output) {