### Description
- Adds a dockerfile for Ubuntu with TensorRT 8.5.1.1.
- Adds option to run EP Perf pipeline with TensorRT 8.5
### Motivation and Context
Necessary to benchmark models with TensorRT 8.5
### Description
Updates naming scheme for docker images built by the EP Perf pipeline.
Specifically, the docker image name is no longer based on the branch
name.
### Motivation and Context
The docker image name used by EP Perf pipeline is built from the branch
name. This makes the pipeline fail for branches with uppercase letters
because docker image names can only contain lower-case letters.
Updates EP perf benchmarking scripts to upload new data with an improved table schema. In order to preserve compatibility with the current benchmarking pipeline, we still upload data that uses the old schema as well. These changes are required in order to improve data filtering capabilities and general UX in dashboards that visualize this data.
Details:
- EP names no longer hardcoded as columns for tables that store inference latency, session creation times, memory usage, and model/EP status.
- Add explicit branch, commit ID, and commit date columns to all tables
- Improvements to the docker image building scripts (simplify docker image build; support installing binary TensorRT packages)
- Remove use of deprecated DataFrame.append in favor of pandas.concat.
* move all logic for ubuntu dockerfiles
* pass in trt version
* update trt 8.0 file
* downgrade protobuf
* uncomment
* and
* change to 8.0
* update dockerfiles
* checkout protobuf based on version
* adding last dockerfile:
:
* checkout 3.10 protobuf
* fix checkout version
* update to 8.2
* keep only one submodule sync
* cleanup
* Delete Dockerfile.custom-trt-perf
* create checkout submodules script
* properly compare decimals in bin/sh
* combine build ort paths
* deprecate TRT 7.2
* only checkout protobuf if we checkout older onnx-tensorrt
* only pull nvidia container if true, update image
* downgrade protobuf only if we checkout onnx-trt
* Update linux-gpu-tensorrt-daily-perf-pipeline.yml for Azure Pipelines
* Update linux-gpu-tensorrt-daily-perf-pipeline.yml for Azure Pipelines
* Add quotes to avoid path splitting
* address shellcheck
* use shellcheck suggestions
* delete unused files
* only use one dockerfile, otherwise install
* Update pipeline file
* get other changes
* minimal packages
* update pull nightly variable
* try logical boolean
* test boolean
* have build ort as boolean
* case senstive
* use the current head not the previous commit
* add helpful note
* get inputs independently for trtexec
* track one process only
* remove engine and profile files
* change time to commit time
* add runtime option for io binding
* move to commit date
* fixes
* add option for graph optimization
* cleanup docker script
* note second time creation
* allow for parameters to be configured from pipeline at runtime
* uncomment
* include optional arguments at runtime
* post second session creation
* update cmake version
* Revert "update cmake version"
This reverts commit 09a1364eae68610724c8e90eeea777b7ee03f74b.
* Move data format import
* get inputs independently for trtexec
* track one process only
* remove engine and profile files
* change time to commit time
* add runtime option for io binding
* move to commit date
* fixes
* add option for graph optimization
* cleanup docker script
* include remaining changes
* choose graph optimization option
* add space in option
* move table names to one location
* remove session metadata
* reload trt inputs
* fix posting names
* Update linux-gpu-tensorrt-daily-perf-pipeline.yml for Azure Pipelines
* remove comments
* Split up anubis job and perf run
* add trt environ variables
* No embedded links
* add back previous changes lost in merge
* post session to dashboard
* post session creation time to dashboard
* fix trt 8 functionality:
* add component governance
* Remove hardcoded values
* Update linux-gpu-tensorrt-daily-perf-pipeline.yml for Azure Pipelines
* cleanup errors
* post results only once
* checkout 8.0 GA
* try build 8.0 without building shared lib
* add back build_shared_lib, not the problem
* add upload_time to table
* use identifier to post
* Shorten to TRT x.x
* shorten commit hash using rev_parse
* use shortened commit hash
* use nvidia's default TRT_VERSION
* migrate to 1ES Hosted Pool
* migrate to Kusto database
* refactor and organize ep names with ORT prefix
* standardize TRT benchmarking with save/load engine, input binding, and workspace
* Add TRT 8.2 to ep perf pipeline
* update model_list.json with full onnx zoo
* add anubis credentials
* add anubis credentials
* clarify trt variables
* get system info from docker image
* remove unwanted commenting
