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added force [False] to .benchmark(), forces benchmarking local #18

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added force [False] to .benchmark(), forces benchmarking local #18

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2 changes: 2 additions & 0 deletions torchbench/image_classification/cifar10.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:

config = locals()
Expand Down Expand Up @@ -70,6 +71,7 @@ def benchmark(
model_output_transform=model_output_transform,
send_data_to_device=send_data_to_device,
device=device,
force=force
)

print(
Expand Down
2 changes: 2 additions & 0 deletions torchbench/image_classification/cifar100.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:

config = locals()
Expand Down Expand Up @@ -70,6 +71,7 @@ def benchmark(
model_output_transform=model_output_transform,
send_data_to_device=send_data_to_device,
device=device,
force=force
)

print(
Expand Down
2 changes: 2 additions & 0 deletions torchbench/image_classification/imagenet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -102,6 +102,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:
"""Benchmarking function.

Expand Down Expand Up @@ -206,6 +207,7 @@ def benchmark(
model_output_transform=model_output_transform,
send_data_to_device=send_data_to_device,
device=device,
force=force
)

print(
Expand Down
2 changes: 2 additions & 0 deletions torchbench/image_classification/mnist.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:

config = locals()
Expand Down Expand Up @@ -69,6 +70,7 @@ def benchmark(
model_output_transform=model_output_transform,
send_data_to_device=send_data_to_device,
device=device,
force=force
)

print(
Expand Down
2 changes: 2 additions & 0 deletions torchbench/image_classification/stl10.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:

config = locals()
Expand Down Expand Up @@ -69,6 +70,7 @@ def benchmark(
model_output_transform=model_output_transform,
send_data_to_device=send_data_to_device,
device=device,
force=force
)

print(
Expand Down
2 changes: 2 additions & 0 deletions torchbench/image_classification/svhn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:

config = locals()
Expand Down Expand Up @@ -72,6 +73,7 @@ def benchmark(
model_output_transform=model_output_transform,
send_data_to_device=send_data_to_device,
device=device,
force=force
)

print(
Expand Down
38 changes: 20 additions & 18 deletions torchbench/image_classification/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@ def evaluate_classification(
model_output_transform,
send_data_to_device,
device="cuda",
force=False
):
top1 = AverageMeter()
top5 = AverageMeter()
Expand Down Expand Up @@ -45,24 +46,25 @@ def evaluate_classification(
iterator.close()
break

# get the cached values from sotabench.com if available
client = Client.public()
cached_res = client.get_results_by_run_hash(run_hash)
if cached_res:
iterator.close()
print(
"No model change detected (using the first batch run "
"hash). Returning cached results."
)

speed_mem_metrics = {
'Tasks / Evaluation Time': None,
'Evaluation Time': None,
'Tasks': None,
'Max Memory Allocated (Total)': None,
}

return cached_res, speed_mem_metrics, run_hash
if not force:
# get the cached values from sotabench.com if available
client = Client.public()
cached_res = client.get_results_by_run_hash(run_hash)
if cached_res:
iterator.close()
print(
"No model change detected (using the first batch run "
"hash). Returning cached results."
)

speed_mem_metrics = {
'Tasks / Evaluation Time': None,
'Evaluation Time': None,
'Tasks': None,
'Max Memory Allocated (Total)': None,
}

return cached_res, speed_mem_metrics, run_hash

exec_time = (time.time() - init_time)

Expand Down
22 changes: 12 additions & 10 deletions torchbench/language_modelling/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,7 @@ def evaluate_language_model(
model_output_transform,
send_data_to_device,
device="cuda",
force=False
):
n_steps, eval_loss = 0, 0

Expand Down Expand Up @@ -50,15 +51,16 @@ def evaluate_language_model(
iterator.close()
break

# get the cached values from sotabench.com if available
client = Client.public()
cached_res = client.get_results_by_run_hash(run_hash)
if cached_res:
iterator.close()
print(
"No model change detected (using the first batch "
"run_hash). Returning cached results."
)
return cached_res, run_hash
if not force:
# get the cached values from sotabench.com if available
client = Client.public()
cached_res = client.get_results_by_run_hash(run_hash)
if cached_res:
iterator.close()
print(
"No model change detected (using the first batch "
"run_hash). Returning cached results."
)
return cached_res, run_hash

return {"Perplexity": np.exp(eval_loss / n_steps)}, run_hash
3 changes: 3 additions & 0 deletions torchbench/language_modelling/wikitext103.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:

config = locals()
Expand Down Expand Up @@ -66,6 +67,7 @@ def benchmark(
send_data_to_device=cls.send_data_to_device,
test_loader=test_loader,
device=device,
force=force
)

# Valid Split
Expand All @@ -90,6 +92,7 @@ def benchmark(
send_data_to_device=cls.send_data_to_device,
test_loader=valid_loader,
device=device,
force=force
)

# Get final results
Expand Down
2 changes: 2 additions & 0 deletions torchbench/object_detection/coco.py
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Original file line number Diff line number Diff line change
Expand Up @@ -114,6 +114,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:
"""Benchmarking function.

Expand Down Expand Up @@ -223,6 +224,7 @@ def benchmark(
model_output_transform=model_output_transform,
send_data_to_device=send_data_to_device,
device=device,
force=force
)

print(test_results)
Expand Down
38 changes: 20 additions & 18 deletions torchbench/object_detection/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -193,6 +193,7 @@ def evaluate_detection_coco(
model_output_transform,
send_data_to_device,
device="cuda",
force=False
):

coco = get_coco_api_from_dataset(test_loader.dataset)
Expand Down Expand Up @@ -222,24 +223,25 @@ def evaluate_detection_coco(
iterator.close()
break

# get the cached values from sotabench.com if available
client = Client.public()
cached_res = client.get_results_by_run_hash(run_hash)
if cached_res:
iterator.close()
print(
"No model change detected (using the first batch run "
"hash). Returning cached results."
)

speed_mem_metrics = {
'Tasks / Evaluation Time': None,
'Evaluation Time': None,
'Tasks': None,
'Max Memory Allocated (Total)': None,
}

return cached_res, speed_mem_metrics, run_hash
if not force:
# get the cached values from sotabench.com if available
client = Client.public()
cached_res = client.get_results_by_run_hash(run_hash)
if cached_res:
iterator.close()
print(
"No model change detected (using the first batch run "
"hash). Returning cached results."
)

speed_mem_metrics = {
'Tasks / Evaluation Time': None,
'Evaluation Time': None,
'Tasks': None,
'Max Memory Allocated (Total)': None,
}

return cached_res, speed_mem_metrics, run_hash

exec_time = (time.time() - init_time)

Expand Down
2 changes: 2 additions & 0 deletions torchbench/semantic_segmentation/ade20k.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,6 +49,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:

config = locals()
Expand Down Expand Up @@ -91,6 +92,7 @@ def benchmark(
model_output_transform=model_output_transform,
send_data_to_device=send_data_to_device,
device=device,
force=force
)

print(test_results)
Expand Down
2 changes: 2 additions & 0 deletions torchbench/semantic_segmentation/camvid.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,6 +49,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:

config = locals()
Expand Down Expand Up @@ -91,6 +92,7 @@ def benchmark(
model_output_transform=model_output_transform,
send_data_to_device=send_data_to_device,
device=device,
force=force
)

print(test_results)
Expand Down
2 changes: 2 additions & 0 deletions torchbench/semantic_segmentation/cityscapes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,6 +51,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:

config = locals()
Expand Down Expand Up @@ -94,6 +95,7 @@ def benchmark(
model_output_transform=model_output_transform,
send_data_to_device=send_data_to_device,
device=device,
force=force
)

print(test_results)
Expand Down
2 changes: 2 additions & 0 deletions torchbench/semantic_segmentation/pascalcontext.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,6 +49,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:

config = locals()
Expand Down Expand Up @@ -91,6 +92,7 @@ def benchmark(
model_output_transform=model_output_transform,
send_data_to_device=send_data_to_device,
device=device,
force=force
)

print(test_results)
Expand Down
2 changes: 2 additions & 0 deletions torchbench/semantic_segmentation/pascalvoc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -92,6 +92,7 @@ def benchmark(
paper_pwc_id: str = None,
paper_results: dict = None,
pytorch_hub_url: str = None,
force: bool = False
) -> BenchmarkResult:

config = locals()
Expand Down Expand Up @@ -136,6 +137,7 @@ def benchmark(
model_output_transform=model_output_transform,
send_data_to_device=send_data_to_device,
device=device,
force=force
)
print(test_results)

Expand Down
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