using Tensorflow;

internal static class GraphOnlyOps

{

/// <summary>

/// Graph-only version of tf.compat.v1.placeholder(), for internal use only.

/// </summary>

/// <param name="dtyype"></param>

/// <param name="shape"></param>

/// <param name="name"></param>

/// <returns></returns>

internal static Tensor graph_placeholder(TF_DataType dtype, Shape shape, string? name = null)

{

var dtype_value = new AttrValue() { Type = dtype.as_datatype_enum() };

var shape_value = new AttrValue() { Shape = shape.as_proto() };

var g = ops.get_default_graph();

Dictionary<string, AttrValue> attrs = new();

attrs["dtype"] = dtype_value;

attrs["shape"] = shape_value;

var op = g.create_op("Placeholder", new Tensor[0], new TF_DataType[] { dtype },

new TF_DataType[0], attrs: attrs, name: name);

var result = op.outputs[0];

return result;

}

}