refactor flux2 klein pipeline tests to the new mixin structure - #14336
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sayakpaul merged 4 commits intoAug 3, 2026
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Hi @akshan-main, thanks for the PR! It does not appear to link an issue it fixes. If this PR addresses an existing issue, please add a closing keyword (e.g. |
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| inputs = self.get_dummy_inputs() | ||
| image = pipe(**inputs).images | ||
| original_image_slice = image[0, -3:, -3:, -1] | ||
| original_image_slice = image[0, -1, -3:, -3:] |
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Re-indexing. Dummy inputs were switched to output_type="pt", so the output layout went from (b, h, w, c) to (b, c, h, w).
sayakpaul
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* refactor flux2 klein pipeline tests to the new mixin structure * use assert_tensors_close instead of torch.allclose --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
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What does this PR do?
Refactors the Flux2 Klein pipeline tests to the new mixin structure from #14113: a
Flux2KleinPipelineTesterConfigplusTestFlux2KleinPipeline(PipelineTesterMixin)andTestFlux2KleinPipelineMemory(MemoryTesterMixin), with the neuron integration tests moved to a pytest class. Follows #14326.Existing coverage is kept:
test_fused_qkv_projections,test_image_output_shape, andtest_image_inputwith its expected slice, with dummy inputs switched tooutput_type="pt"and the assertions adjusted for the channels-first layout. Thetest_encode_prompt_works_in_isolationskip is kept since the pipeline cannot run withtext_encoder=None. No caching tests are added since the old suite had none.Before submitting
Who can review?
@sayakpaul