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Synthetic image generator #751
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src/c++/perf_analyzer/genai-perf/genai_perf/llm_inputs/synthetic_image_generator.py
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src/c++/perf_analyzer/genai-perf/genai_perf/llm_inputs/synthetic_image_generator.py
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src/c++/perf_analyzer/genai-perf/genai_perf/llm_inputs/synthetic_image_generator.py
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src/c++/perf_analyzer/genai-perf/genai_perf/llm_inputs/synthetic_image_generator.py
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src/c++/perf_analyzer/genai-perf/genai_perf/llm_inputs/synthetic_image_generator.py
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src/c++/perf_analyzer/genai-perf/genai_perf/llm_inputs/synthetic_image_generator.py
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src/c++/perf_analyzer/genai-perf/genai_perf/llm_inputs/synthetic_image_generator.py
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src/c++/perf_analyzer/genai-perf/tests/test_synthetic_image_generator.py
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@patch("pathlib.Path.exists", return_value=True) | ||
@patch( | ||
"PIL.Image.open", | ||
return_value=DUMMY_IMAGE, |
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return_value=DUMMY_IMAGE, | |
return_value=Image.new("RGB", (100, 100), color="blue"), |
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I'm testing against the DUMMY_IMAGE
in an assertion below, so I prefer to keep it named, but I moved the variable definition from the global to the local scope.
src/c++/perf_analyzer/genai-perf/genai_perf/llm_inputs/synthetic_image_generator.py
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Co-authored-by: Hyunjae Woo <[email protected]>
import base64 | ||
from enum import Enum, auto | ||
from io import BytesIO | ||
from pathlib import Path |
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Unused import Note
from enum import Enum, auto | ||
from io import BytesIO | ||
from pathlib import Path | ||
from typing import Generator, Optional, Tuple, cast |
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Unused import Note
Import of 'Tuple' is not used.
Import of 'cast' is not used.
from typing import Generator, Optional, Tuple, cast | ||
|
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import numpy as np | ||
from genai_perf.exceptions import GenAIPerfException |
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Unused import Note
@@ -0,0 +1,87 @@ | |||
import base64 | |||
from io import BytesIO | |||
from pathlib import Path |
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Unused import Note test
import base64 | ||
from io import BytesIO | ||
from pathlib import Path | ||
from unittest.mock import patch |
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Unused import Note test
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import numpy as np | ||
import pytest | ||
from genai_perf.exceptions import GenAIPerfException |
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Unused import Note test
* POC LLaVA VLM support (#720) * POC for LLaVA support * non-streaming request in VLM tests * image component sent in "image_url" field instead of HTML tag * generate sample image instead of loading from docs * add vision to endpoint mapping * fixes for handling OutputFormat * refactor - extract image preparation to a separate module * fixes to the refactor * replace match-case syntax with if-elseif-else * Update image payload format and fix tests * Few clean ups and tickets added for follow up tasks * Fix and add tests for vision format * Remove output format from profile data parser * Revert irrelevant code change * Revert changes * Remove unused dependency * Comment test_extra_inputs --------- Co-authored-by: Hyunjae Woo <[email protected]> * Support multi-modal input from file for OpenAI Chat Completions (#749) * add synthetic image generator (#751) * synthetic image generator * format randomization * images should be base64-encoded arbitrarly * randomized image format * randomized image shape * prepare SyntheticImageGenerator to support different image sources * read from files * python 3.10 support fixes * remove unused imports * skip sampled image sizes with negative values * formats type fix * remove unused variable * synthetic image generator encodes images to base64 * image format not randomized * sample each dimension independently Co-authored-by: Hyunjae Woo <[email protected]> * apply code-review suggestsions * update class name * deterministic synthetic image generator * add typing to SyntheticImageGenerator * SyntheticImageGenerator doesn't load files * SyntheticImageGenerator always encodes images to base64 * remove unused imports * generate gaussian noise instead of blank images --------- Co-authored-by: Hyunjae Woo <[email protected]> * Add command line arguments for synthetic image generation (#753) * Add CLI options for synthetic image generation * read image format from file when --input-file is used * move encode_image method to utils * Lazy import some modules * Support synthetic image generation in GenAI-Perf (#754) * support synthetic image generation for VLM model * add test * integrate sythetic image generator into LlmInputs * add source images for synthetic image data * use abs to get positive int --------- Co-authored-by: Marek Wawrzos <[email protected]>
The PR allows users to add multimodal data to the synthetic prompts.
Generated images:
mean_size
anddimiensions_stddev
parameters),