Beispiel #1
0
        C.Function get_length_and_remove_last_dimension(C.Function x, string name)
        {
            var number_dimensions = x.Output.Shape.Dimensions.Count;

            x = CC.Square(x);
            var sum_entries = CC.ReduceSum(x, new C.Axis(number_dimensions - 1));
            var epsilon     = C.Constant.Scalar(C.DataType.Float, 1e-7, computeDevice);

            x = CC.Sqrt(CC.Plus(sum_entries, epsilon));
            x = CC.Squeeze(x);
            return(x);
        }
Beispiel #2
0
        C.Function create_capsule_layer(C.Function inputs, int num_capsule, int dim_capsule, int routings, string name)
        {
            var inputs_shape      = inputs.Output.Shape.Dimensions;
            var input_num_capsule = inputs_shape[0];
            var input_dim_capsule = inputs_shape[1];
            var W = new C.Parameter(
                new int[] { num_capsule, dim_capsule, input_num_capsule, input_dim_capsule },
                C.DataType.Float,
                CC.GlorotUniformInitializer(),
                computeDevice,
                name: "W");

            inputs = CC.Reshape(inputs, new int[] { 1, 1, input_num_capsule, input_dim_capsule }); // [1, 1, 1152, 8])
            var inputs_hat = CC.ElementTimes(W, inputs);

            inputs_hat = CC.ReduceSum(inputs_hat, new C.Axis(3));
            inputs_hat = CC.Squeeze(inputs_hat);

            C.Function outputs = null;
            var        zeros   = new C.Constant(new int[] { num_capsule, 1, input_num_capsule }, C.DataType.Float, 0, computeDevice);
            var        b       = CC.Combine(new C.VariableVector()
            {
                zeros
            });

            for (int i = 0; i < routings; i++)
            {
                var c = CC.Softmax(b, new C.Axis(0));
                var batch_dot_result = CC.ElementTimes(c, inputs_hat);
                batch_dot_result = CC.ReduceSum(batch_dot_result, new C.Axis(2));
                batch_dot_result = CC.Squeeze(batch_dot_result);
                outputs          = squash(batch_dot_result, name: $"squashed_{i}", axis: 1);
                if (i < (routings - 1))
                {
                    outputs          = CC.Reshape(outputs, new int[] { num_capsule, dim_capsule, 1 });
                    batch_dot_result = CC.ElementTimes(outputs, inputs_hat);
                    batch_dot_result = CC.ReduceSum(batch_dot_result, new C.Axis(1));
                    b = CC.Plus(b, batch_dot_result);
                }
            }
            outputs = CC.Combine(new C.VariableVector()
            {
                outputs
            }, name);
            return(outputs);
        }
Beispiel #3
0
        C.Function get_mask_and_infer_from_last_dimension(C.Function inputs, C.Function mask)
        {
            if (mask == null)
            {
                var inputs_shape = inputs.Output.Shape.Dimensions.ToArray();
                var ndims        = inputs_shape.Length - 1;
                var x            = CC.Sqrt(CC.ReduceSum(CC.Square(inputs), new C.Axis(ndims - 1)));
                x = CC.Squeeze(x);
                System.Diagnostics.Debug.Assert(x.Output.Shape.Dimensions.Count == 1);
                x    = CC.Argmax(x, new C.Axis(0));
                mask = CC.OneHotOp(x, numClass: (uint)inputs_shape[0], outputSparse: false, axis: new C.Axis(0));
            }
            mask = CC.Reshape(mask, mask.Output.Shape.AppendShape(new int[] { 1 }));
            var masked = CC.ElementTimes(inputs, mask);

            masked = CC.Flatten(masked);
            masked = CC.Squeeze(masked);
            return(masked);
        }