onnx (version 0.0.2)

make_attribute: Make Different Types of Protos

Description

This includes AttributeProto, GraphProto, NodeProto, TensorProto, TensorValueInfoProto, etc.

Usage

make_attribute(key, value, doc_string = NULL)
make_graph(nodes, name, inputs, outputs, initializer = NULL,
  doc_string = NULL)
make_node(op_type, inputs, outputs, name = NULL, doc_string = NULL)
make_tensor(name, data_type, dims, vals, raw = FALSE)
make_tensor_value_info(name, elem_type, shape, doc_string = "")

Arguments

key

The key

value

The value

doc_string

The doc_string

nodes

The nodes

name

The name

inputs

The inputs

outputs

The outputs

initializer

The initializer

op_type

The op type

data_type

The data type

dims

The dimensions

vals

The values

raw

If this is FALSE``, this function will choose the corresponding proto field to store the values based ondata_type. If raw isTRUE`, use "raw_data" proto field to store the values, and values should be of type bytes in this case.

elem_type

The element type, e.g. onnx$TensorProto$FLOAT

shape

The shape

Examples

# NOT RUN {
library(onnx)

# Define a node protobuf and check whether it's valid
node_def <- make_node("Relu", list("X"), list("Y"))
check(node_def)

# Define an attribute protobuf and check whether it's valid
attr_def <- make_attribute("this_is_an_int", 123L)
check(attr_def)

# Define a graph protobuf and check whether it's valid
graph_def <- make_graph(
    nodes = list(
      make_node("FC", list("X", "W1", "B1"), list("H1")),
      make_node("Relu", list("H1"), list("R1")),
      make_node("FC", list("R1", "W2", "B2"), list("Y"))
    ),
    name = "MLP",
    inputs = list(
      make_tensor_value_info('X' , onnx$TensorProto$FLOAT, list(1L)),
      make_tensor_value_info('W1', onnx$TensorProto$FLOAT, list(1L)),
      make_tensor_value_info('B1', onnx$TensorProto$FLOAT, list(1L)),
      make_tensor_value_info('W2', onnx$TensorProto$FLOAT, list(1L)),
      make_tensor_value_info('B2', onnx$TensorProto$FLOAT, list(1L))
    ),
    outputs = list(
      make_tensor_value_info('Y', onnx$TensorProto$FLOAT, list(1L))
    )
)
check(graph_def)

# }
# NOT RUN {
# }