09959fac70
* feat: update mistral common * feat: add mistral3processor * fix: loading * fix: cast pixel_values to fp32 * fix: image tensor conversion * feat: add FA2 support for pixtral based models * fix: update mistral small 3.1 to use native tokenizer * fix: install tips * fix: improve info on sample dataset files * chore: move mistral configs into subfolders * fix: remove unneeded patch * fix: indent * feat: add integration tests * chore: move * feat: add magistral 2509 docs and example * fix: convert tensor to bool * feat: expand tests * chore: move tests
44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
"""Integration tests for Voxtral modeling patches."""
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import pytest
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class TestVoxtralModelingPatchIntegration:
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"""Test Voxtral modeling patch integration."""
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@pytest.mark.integration
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def test_voxtral_conditional_generation_patch(self):
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"""Test that Voxtral conditional generation patch can be applied."""
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try:
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from transformers.models.voxtral.modeling_voxtral import (
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VoxtralForConditionalGeneration,
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)
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except ImportError:
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pytest.skip("VoxtralForConditionalGeneration not available")
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from axolotl.monkeypatch.models.voxtral.modeling import (
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patch_voxtral_conditional_generation_forward,
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)
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# Store original method
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original_forward = VoxtralForConditionalGeneration.forward
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# Apply patch and get unpatch function
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unpatch_fn = patch_voxtral_conditional_generation_forward()
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# Verify patch was applied
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assert VoxtralForConditionalGeneration.forward != original_forward, (
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"forward method was not patched"
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)
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# Verify the method is still callable
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assert callable(VoxtralForConditionalGeneration.forward), (
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"Patched method is not callable"
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)
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# Test unpatch function
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unpatch_fn()
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assert VoxtralForConditionalGeneration.forward == original_forward, (
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"unpatch function did not restore original method"
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)
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