Files
FastDeploy/examples/vision/detection/yolov5/serving/models/runtime/config.pbtxt
heliqi d57e997fa0 Fd serving add docker images correlation and docs (#311)
* fd serving add dockerfile

* fix enable_paddle_mkldnn

* delete disable_paddle_mkldnn

Co-authored-by: Jason <jiangjiajun@baidu.com>
2022-10-08 16:08:07 +08:00

47 lines
1.1 KiB
Plaintext
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

# optional, If name is specified it must match the name of the model repository directory containing the model.
name: "runtime"
backend: "fastdeploy"
max_batch_size: 16
# Input configuration of the model
input [
{
# input name
name: "images"
# input type such as TYPE_FP32、TYPE_UINT8、TYPE_INT8、TYPE_INT16、TYPE_INT32、TYPE_INT64、TYPE_FP16、TYPE_STRING
data_type: TYPE_FP32
# input shape The batch dimension is omitted and the actual shape is [batch, c, h, w]
dims: [ 3, -1, -1 ]
}
]
# The output of the model is configured in the same format as the input
output [
{
name: "output"
data_type: TYPE_FP32
dims: [ -1, -1 ]
}
]
# Number of instances of the model
instance_group [
{
# The number of instances is 1
count: 1
# Use GPU, CPU inference option is:KIND_CPU
kind: KIND_GPU
# The instance is deployed on the 0th GPU card
gpus: [0]
}
]
optimization {
execution_accelerators {
gpu_execution_accelerator : [ {
# use ONNXRuntime engine
name: "onnxruntime",
parameters { key: "cpu_threads" value: "2" }
}]
}}