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77eb77bdc2
* Adding multi-gpu support, and cuda device allocation Signed-off-by: ahn <ahn@zurich.ibm.com> * Fixes pydantic exception with cuda:n Signed-off-by: ahn <ahn@zurich.ibm.com> * Pydantic field validator and comment restored. Signed-off-by: ahn <ahn@zurich.ibm.com> * chore: Accept AcceleratorDevice enum type Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Resetted some options to default, removed EasyOCR model wrap. Signed-off-by: ahn <ahn@zurich.ibm.com> * Fixed rebased issues Signed-off-by: ahn <ahn@zurich.ibm.com> * Revert accelerator test options Signed-off-by: ahn <ahn@zurich.ibm.com> --------- Signed-off-by: ahn <ahn@zurich.ibm.com> Signed-off-by: Christoph Auer <cau@zurich.ibm.com> Co-authored-by: ahn <ahn@sonny.zuvela.ibm.com> Co-authored-by: ahn <ahn@zurich.ibm.com> Co-authored-by: Christoph Auer <cau@zurich.ibm.com>
67 lines
2.0 KiB
Python
67 lines
2.0 KiB
Python
from pathlib import Path
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from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
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from docling.datamodel.base_models import InputFormat
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from docling.datamodel.pipeline_options import (
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AcceleratorDevice,
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AcceleratorOptions,
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PdfPipelineOptions,
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TesseractCliOcrOptions,
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TesseractOcrOptions,
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)
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from docling.datamodel.settings import settings
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from docling.document_converter import DocumentConverter, PdfFormatOption
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def main():
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input_doc = Path("./tests/data/pdf/2206.01062.pdf")
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# Explicitly set the accelerator
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# accelerator_options = AcceleratorOptions(
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# num_threads=8, device=AcceleratorDevice.AUTO
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# )
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accelerator_options = AcceleratorOptions(
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num_threads=8, device=AcceleratorDevice.CPU
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)
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# accelerator_options = AcceleratorOptions(
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# num_threads=8, device=AcceleratorDevice.MPS
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# )
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# accelerator_options = AcceleratorOptions(
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# num_threads=8, device=AcceleratorDevice.CUDA
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# )
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# easyocr doesnt support cuda:N allocation, defaults to cuda:0
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# accelerator_options = AcceleratorOptions(num_threads=8, device="cuda:1")
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pipeline_options = PdfPipelineOptions()
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pipeline_options.accelerator_options = accelerator_options
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pipeline_options.do_ocr = True
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pipeline_options.do_table_structure = True
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pipeline_options.table_structure_options.do_cell_matching = True
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converter = DocumentConverter(
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format_options={
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InputFormat.PDF: PdfFormatOption(
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pipeline_options=pipeline_options,
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)
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}
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)
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# Enable the profiling to measure the time spent
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settings.debug.profile_pipeline_timings = True
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# Convert the document
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conversion_result = converter.convert(input_doc)
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doc = conversion_result.document
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# List with total time per document
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doc_conversion_secs = conversion_result.timings["pipeline_total"].times
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md = doc.export_to_markdown()
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print(md)
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print(f"Conversion secs: {doc_conversion_secs}")
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if __name__ == "__main__":
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main()
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