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log warning for batch_size 1 #1503

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log warning for batch_size 1 #1503

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13640e3
log warning for batch_size 1
horheynm Jan 3, 2024
7172010
fix tests, leave batch_size validation as is for no batchsize pathway
horheynm Jan 4, 2024
94e83b5
Merge branch 'main' into bug-warning-batchsize-0
horheynm Jan 4, 2024
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9 changes: 8 additions & 1 deletion src/deepsparse/legacy/pipeline.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@
Classes and registry for end to end inference pipelines that wrap an underlying
inference engine and include pre/postprocessing
"""
import logging
import os
from abc import ABC, abstractmethod
from concurrent.futures import ThreadPoolExecutor
Expand Down Expand Up @@ -75,6 +76,8 @@

SUPPORTED_PIPELINE_ENGINES = [DEEPSPARSE_ENGINE, ORT_ENGINE]

_LOGGER = logging.getLogger(__name__)


class Pipeline(BasePipeline):
"""
Expand Down Expand Up @@ -192,10 +195,14 @@ def __init__(
)

self._engine_args = dict(
batch_size=self._batch_size or 1, # bs=1 for dynamic batch
batch_size=self._batch_size,
num_cores=num_cores,
input_shapes=input_shapes,
)
if self._engine_args["batch_size"] == 0:
_LOGGER.warning("Overriding batch_size from 0 to 1 for dynamic batch")
self._engine_args["batch_size"] = 1

if engine_type.lower() == DEEPSPARSE_ENGINE:
self._engine_args["scheduler"] = scheduler
self._engine_args["num_streams"] = num_streams
Expand Down
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