exploratory attempt at converting a TensorFlow graph to gv (manually)

images_demo.dot

digraph images_demo_gaussian_blur {
    rankdir = "BT";
    labelloc = "b";
    fontname = "Roboto";
    node [fontname = "Roboto"];
    edge [fontname = "Roboto"];

    gr_decode [label="decode_image", shape=box, style=rounded];

    gr_image [label="image", shape=box, style=rounded];
    gr_decode -> gr_image [label="480×640×3"];
    // I'm not going to put all the other edge shape-labels in...

    op_cast [label="Cast"];
    gr_image -> op_cast;

    subgraph {
        rank = "same";
        op_truediv [label="truediv"];
        miniop_y [shape=point, xlabel="y"];
        miniop_y -> op_truediv;
    }
    op_cast -> op_truediv;

    op_placeholder [label="Placeholder"];

    gr_filter [label="filter", shape=box, style=rounded];
    op_placeholder -> gr_filter;

    subgraph cluster_convolve {
        label = "convolve";
        bgcolor = "#bbc6dd";

        op_stack [label="stack"];
        // in-edge from truediv, which is outside of group

        op_conv2d [label="Conv2D"];
        op_stack -> op_conv2d

        subgraph {
            rank="same";
            op_expanddims [label="ExpandDims"];
            // in-edge from filter, which is outside of group
            miniop_dim [shape=point, xlabel="dim"];
            miniop_dim -> op_expanddims;
        }

        subgraph {
            rank = "same";
            op_expanddims_1 [label="ExpandDims_1"];
            miniop_dim_1 [shape=point, xlabel="dim"];
            miniop_dim_1 -> op_expanddims_1;
        }
        op_expanddims -> op_expanddims_1;

        subgraph {
            rank = "same";
            op_expanddims_2 [label="ExpandDims_2"];
            miniop_dim_2 [shape=point, xlabel="dim"];
            miniop_dim_2 -> op_expanddims_2;
        }

        subgraph {
            rank = "same";
            op_expanddims_3 [label="ExpandDims_3"];
            miniop_dim_3 [shape=point, xlabel="dim"];
            miniop_dim_3 -> op_expanddims_3;
        }
        op_expanddims_2 -> op_expanddims_3;

        gr_eye [
            label="eye",
            shape=box,
            style="rounded,filled",
            fillcolor="#bddbdb",
        ];
        gr_eye -> op_expanddims_2;

        op_mul [label="mul"];
        op_expanddims_1 -> op_mul;
        op_expanddims_3 -> op_mul;
        op_mul -> op_conv2d;

        gr_assert_type [
            label="assert_type",
            shape=box,
            style="rounded,filled",
            fillcolor="#c5e2b6",
        ];

        subgraph {
            rank = "same";
            op_strided_slice [label="strided_slice"];
            miniop_stack_1 [shape=point, xlabel="stack_1"];
            miniop_stack_2 [shape=point, xlabel="stack_1"];
            miniop_stack_3 [shape=point, xlabel="stack_2"];
            {miniop_stack_1, miniop_stack_2, miniop_stack_3} -> op_strided_slice;
        }
        op_conv2d -> op_strided_slice;

    }
    gr_filter -> op_expanddims;
    op_truediv -> op_stack;

    gr_convolve_1 [
        label="convolve_1",
        shape=box,
        style="rounded,filled",
        fillcolor = "#bbc6dd",
    ];
    gr_convolve_2 [
        label="convolve_2",
        shape=box,
        style="rounded,filled",
        fillcolor = "#bbc6dd",
    ];
    gr_convolve_3 [
        label="convolve_3",
        shape=box,
        style="rounded,filled",
        fillcolor = "#bbc6dd",
    ];

    op_strided_slice -> gr_convolve_1 -> gr_convolve_2 -> gr_convolve_3;
    gr_filter -> {gr_convolve_1, gr_convolve_2, gr_convolve_3};

    gr_convert_to_uint8 [label="convert_to_uint8", shape=box, style=rounded];
    {
        op_truediv,
        op_strided_slice,
        gr_convolve_1,
        gr_convolve_2,
        gr_convolve_3
    } -> gr_convert_to_uint8;

    gr_box_to_gaussian [label="box_to_gaussian", shape=box, style=rounded];
    gr_convert_to_uint8 -> gr_box_to_gaussian;
}

output of dot -Tpng -O images_demo.dot:

TensorBoard graph, from "Download PNG":

Ref.: tensorflow/tensorboard#570.