onnx-genai-example-esm2-t6-8m / graph_report.json
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{
"package": "esm2-t6-8m",
"providers": [
"AzureExecutionProvider",
"CPUExecutionProvider"
],
"graphs": [
{
"path": "model.onnx",
"size": 94903,
"nodes": 142,
"ops": {
"ai.onnx::Add": 36,
"ai.onnx::Attention": 6,
"ai.onnx::Cast": 3,
"ai.onnx::Concat": 2,
"ai.onnx::Constant": 3,
"ai.onnx::Div": 2,
"ai.onnx::Equal": 1,
"ai.onnx::Expand": 2,
"ai.onnx::Gather": 3,
"ai.onnx::Gelu": 6,
"ai.onnx::LayerNormalization": 1,
"ai.onnx::MatMul": 36,
"ai.onnx::Mul": 2,
"ai.onnx::Range": 1,
"ai.onnx::ReduceSum": 2,
"ai.onnx::RotaryEmbedding": 12,
"ai.onnx::Shape": 3,
"ai.onnx::Squeeze": 1,
"ai.onnx::Sub": 1,
"ai.onnx::Unsqueeze": 6,
"ai.onnx::Where": 1,
"com.microsoft::SkipLayerNormalization": 12
},
"inputs": [
{
"name": "input_ids",
"dtype": "INT64",
"shape": "[component.model.batch,component.model.sequence_len]"
},
{
"name": "attention_mask",
"dtype": "INT64",
"shape": "[component.model.batch,component.model.sequence_len]"
}
],
"outputs": [
{
"name": "last_hidden_state",
"dtype": "FLOAT",
"shape": "[component.model.batch,component.model.sequence_len,320]"
}
],
"initializers": 108,
"initializer_bytes": 29701556,
"ort_load": {
"ok": true,
"seconds": 0.1396461280528456,
"providers": [
"CPUExecutionProvider"
]
}
}
]
}