Skip to content
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

Jump to bottom

Add Engine.generate_random_inputs() #966

Merged
merged 1 commit into from
Mar 21, 2023
Merged

Add Engine.generate_random_inputs() #966

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
13 changes: 12 additions & 1 deletion src/deepsparse/engine.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,11 @@
from tqdm.auto import tqdm

from deepsparse.benchmark import BenchmarkResults
from deepsparse.utils import model_to_path, override_onnx_input_shapes
from deepsparse.utils import (
generate_random_inputs,
model_to_path,
override_onnx_input_shapes,
)


try:
Expand Down Expand Up @@ -314,6 +318,13 @@ def cpu_vnni(self) -> bool:
"""
return self._cpu_vnni

def generate_random_inputs(self) -> List[numpy.ndarray]:
"""
Generate random data that matches the type and shape of the ONNX model
:return: List of random tensors
"""
return generate_random_inputs(self.model_path, self.batch_size)

def run(
self,
inp: List[numpy.ndarray],
Expand Down