Rocm yolonas (#13816)

* Implement ROCm detectors

* Cleanup tensor input

* Fixup image creation

* Add support for yolonas in onnx

* Get build working with onnx

* Update docs and simplify config

* Remove unused imports
This commit is contained in:
Nicolas Mowen
2024-09-18 18:34:07 -06:00
committed by GitHub
parent efd1194307
commit 4515eb4637
14 changed files with 194 additions and 154 deletions

View File

@@ -179,57 +179,18 @@ jobs:
h8l.tags=${{ steps.setup.outputs.image-name }}-h8l
*.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-h8l
*.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-h8l,mode=max
#- name: AMD/ROCm general build
# env:
# AMDGPU: gfx
# HSA_OVERRIDE: 0
# uses: docker/bake-action@v3
# with:
# push: true
# targets: rocm
# files: docker/rocm/rocm.hcl
# set: |
# rocm.tags=${{ steps.setup.outputs.image-name }}-rocm
# *.cache-from=type=gha
#- name: AMD/ROCm gfx900
# env:
# AMDGPU: gfx900
# HSA_OVERRIDE: 1
# HSA_OVERRIDE_GFX_VERSION: 9.0.0
# uses: docker/bake-action@v3
# with:
# push: true
# targets: rocm
# files: docker/rocm/rocm.hcl
# set: |
# rocm.tags=${{ steps.setup.outputs.image-name }}-rocm-gfx900
# *.cache-from=type=gha
#- name: AMD/ROCm gfx1030
# env:
# AMDGPU: gfx1030
# HSA_OVERRIDE: 1
# HSA_OVERRIDE_GFX_VERSION: 10.3.0
# uses: docker/bake-action@v3
# with:
# push: true
# targets: rocm
# files: docker/rocm/rocm.hcl
# set: |
# rocm.tags=${{ steps.setup.outputs.image-name }}-rocm-gfx1030
# *.cache-from=type=gha
#- name: AMD/ROCm gfx1100
# env:
# AMDGPU: gfx1100
# HSA_OVERRIDE: 1
# HSA_OVERRIDE_GFX_VERSION: 11.0.0
# uses: docker/bake-action@v3
# with:
# push: true
# targets: rocm
# files: docker/rocm/rocm.hcl
# set: |
# rocm.tags=${{ steps.setup.outputs.image-name }}-rocm-gfx1100
# *.cache-from=type=gha
- name: AMD/ROCm general build
env:
AMDGPU: gfx
HSA_OVERRIDE: 0
uses: docker/bake-action@v3
with:
push: true
targets: rocm
files: docker/rocm/rocm.hcl
set: |
rocm.tags=${{ steps.setup.outputs.image-name }}-rocm
*.cache-from=type=gha
# The majority of users running arm64 are rpi users, so the rpi
# build should be the primary arm64 image
assemble_default_build: