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46 lines
1.0 KiB
Plaintext
46 lines
1.0 KiB
Plaintext
# optional, If name is specified it must match the name of the model repository directory containing the model.
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name: "runtime"
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backend: "fastdeploy"
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max_batch_size: 16
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# Input configuration of the model
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input [
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{
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# input name
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name: "images"
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# input type such as TYPE_FP32、TYPE_UINT8、TYPE_INT8、TYPE_INT16、TYPE_INT32、TYPE_INT64、TYPE_FP16、TYPE_STRING
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data_type: TYPE_FP32
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# input shape， The batch dimension is omitted and the actual shape is [batch, c, h, w]
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dims: [ 3, -1, -1 ]
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}
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]
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# The output of the model is configured in the same format as the input
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output [
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{
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name: "output0"
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data_type: TYPE_FP32
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dims: [ -1, -1 ]
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}
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]
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# Number of instances of the model
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instance_group [
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{
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# The number of instances is 1
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count: 1
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# Use CPU, GPU inference option is:KIND_GPU
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kind: KIND_CPU
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}
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]
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optimization {
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execution_accelerators {
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cpu_execution_accelerator : [ {
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# use ONNXRuntime engine
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name: "onnxruntime",
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# set cpu threads
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parameters { key: "cpu_threads" value: "4" }
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}]
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}}
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