Skip to content

[WIP] Update Jetpack to 4.6.1 #15

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
mhejrati merged 5 commits into from
Nov 8, 2021
Merged

[WIP] Update Jetpack to 4.6.1 #15

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
c7593a5
Update Jetpack 4.6.1
renzodgc Oct 5, 2021
27db3c8
update jetson-nano dockerfile
renzodgc Oct 5, 2021
54aab7e
Merge pull request #1 from lanthorn-ai/Update-Jetpack-4.6.1
mahsa-shams Oct 23, 2021
ad8e92f
fixed jetpack 4.6.1 uncompatibility issue
Oct 23, 2021
8f5cb1a
Merge pull request #1 from mahsa-shams/main
renzodgc Oct 25, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions exporters/trt_exporter.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -63,15 +63,15 @@ def export_trt(pb_file, output_dir, num_classes=90, neuralet_adaptive_model=1):
text=True,
debug_mode=False)
input_dims = (3, 300, 300)
with trt.Builder(TRT_LOGGER) as builder, builder.create_network() as network, trt.UffParser() as parser:
builder.max_workspace_size = 1 << 28
with trt.Builder(TRT_LOGGER) as builder, builder.create_network() as network, builder.create_builder_config() as builder_config, trt.UffParser() as parser:
builder_config.max_workspace_size = 1 << 28
builder.max_batch_size = 1
builder.fp16_mode = True
builder_config.set_flag(trt.BuilderFlag.FP16)

parser.register_input('Input', input_dims)
parser.register_output('MarkOutput_0')
parser.parse(uff_path, network)
engine = builder.build_cuda_engine(network)
engine = builder.build_engine(network, builder_config)

buf = engine.serialize()
engine_path = os.path.join(output_dir, model_file_name + ".bin")
Expand Down
4 changes: 1 addition & 3 deletions jetson-nano.Dockerfile
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,9 +3,7 @@
# 1) build: docker build -f Dockerfile -t "neuralet/jetson-nano:tf-ssd-to-trt" .
# 2) run: docker run -it --runtime nvidia --privileged --network host -v /PATH_TO_DOCKERFILE_DIRECTORY/:/repo neuralet/jetson-nano:tf-ssd-to-trt

#FROM nvcr.io/nvidia/l4t-base:r32.4.4

FROM nvcr.io/nvidia/l4t-tensorflow:r32.4.4-tf1.15-py3
FROM nvcr.io/nvidia/l4t-tensorflow:r32.6.1-tf1.15-py3
ENV TZ=US/Pacific
RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone

Expand Down