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.

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

[Model] Placeholder for ResNet 50 (initial planing & stats) #142

Merged
merged 1 commit into from
Aug 21, 2024
Merged
Changes from all commits
Commits
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
27 changes: 27 additions & 0 deletions pybuda/test/mlir/resnet/test_resnet_inference.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,27 @@
# SPDX-FileCopyrightText: © 2024 Tenstorrent AI ULC

# SPDX-License-Identifier: Apache-2.0

import torch
from torchvision.models.resnet import resnet50

import pybuda


def test_resnet_inference():
# Compiler configurations
compiler_cfg = pybuda.config._get_global_compiler_config()
compiler_cfg.enable_tvm_cpu_fallback = False

# Load ResNet50 model
framework_model = resnet50()
framework_model.eval()

input_image = torch.rand(1, 3, 224, 224)

# Sanity run
generation_output = framework_model(input_image)
print(generation_output)

# Compile the model
compiled_model = pybuda.compile(framework_model, input_image)