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|
ir_version: 7
producer_name: "pytorch"
producer_version: "CURRENT_VERSION"
graph {
node {
input: "onnx::Gemm_0"
input: "weight"
input: "bias"
output: "3"
name: "Gemm_0"
op_type: "Gemm"
attribute {
name: "alpha"
f: 1
type: FLOAT
}
attribute {
name: "beta"
f: 1
type: FLOAT
}
attribute {
name: "transB"
i: 1
type: INT
}
}
name: "torch_jit"
initializer {
dims: 5
dims: 4
data_type: 1
name: "weight"
raw_data: "\212\332\356>@\265u>p\303E\275 \320\306\274\354\201\221>\004\354\261\276\2746*>8\247)\276\340\035\224>\024\2446\276\200\211\312<\224\344,>D\356\257>\320\202\226\275\364\213\351>z\226\330\276\310\250\266\275\352F\377\276\000\250)=\244K\021>"
}
initializer {
dims: 5
data_type: 1
name: "bias"
raw_data: "\324BO\276@\245T>\350\377\245\275\374u\336\276&\212\304>"
}
input {
name: "onnx::Gemm_0"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 3
}
dim {
dim_value: 4
}
}
}
}
}
input {
name: "weight"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 5
}
dim {
dim_value: 4
}
}
}
}
}
input {
name: "bias"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 5
}
}
}
}
}
output {
name: "3"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 3
}
dim {
dim_value: 5
}
}
}
}
}
}
opset_import {
version: 14
}
|
