Nothing
## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(echo = TRUE)
knitr::opts_chunk$set(eval = FALSE)
## ----eval=FALSE---------------------------------------------------------------
# library(onnx)
#
# node_def <- make_node("Relu", list("X"), list("Y"))
# check(node_def)
## ----eval=FALSE---------------------------------------------------------------
# > node_def
# input: "X"
# output: "Y"
# op_type: "Relu"
## ----eval=FALSE---------------------------------------------------------------
# attr_def <- make_attribute("this_is_an_int", 123L)
# check(attr_def)
## ----eval=FALSE---------------------------------------------------------------
# > attr_def
# name: "this_is_an_int"
# i: 123
# type: INT
## ----eval=FALSE---------------------------------------------------------------
# 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)
## ----eval=FALSE---------------------------------------------------------------
# > print_readable(graph_def)
# graph MLP (
# %X[FLOAT, 1]
# %W1[FLOAT, 1]
# %B1[FLOAT, 1]
# %W2[FLOAT, 1]
# %B2[FLOAT, 1]
# ) {
# %H1 = FC(%X, %W1, %B1)
# %R1 = Relu(%H1)
# %Y = FC(%R1, %W2, %B2)
# return %Y
# }
## ----eval=FALSE---------------------------------------------------------------
# > graph_def
# node {
# input: "X"
# input: "W1"
# input: "B1"
# output: "H1"
# op_type: "FC"
# }
# node {
# input: "H1"
# output: "R1"
# op_type: "Relu"
# }
# node {
# input: "R1"
# input: "W2"
# input: "B2"
# output: "Y"
# op_type: "FC"
# }
# name: "MLP"
# input {
# name: "X"
# type {
# tensor_type {
# elem_type: FLOAT
# shape {
# dim {
# dim_value: 1
# }
# }
# }
# }
# }
# input {
# name: "W1"
# type {
# tensor_type {
# elem_type: FLOAT
# shape {
# dim {
# dim_value: 1
# }
# }
# }
# }
# }
# input {
# name: "B1"
# type {
# tensor_type {
# elem_type: FLOAT
# shape {
# dim {
# dim_value: 1
# }
# }
# }
# }
# }
# input {
# name: "W2"
# type {
# tensor_type {
# elem_type: FLOAT
# shape {
# dim {
# dim_value: 1
# }
# }
# }
# }
# }
# input {
# name: "B2"
# type {
# tensor_type {
# elem_type: FLOAT
# shape {
# dim {
# dim_value: 1
# }
# }
# }
# }
# }
# output {
# name: "Y"
# type {
# tensor_type {
# elem_type: FLOAT
# shape {
# dim {
# dim_value: 1
# }
# }
# }
# }
# }
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