[diffusion] CI: remove flaky layerwise offload diffusion case (#28778)
This commit is contained in:
@@ -83,17 +83,6 @@ SKIP_COMPONENTS: Dict[str, Dict[ComponentType, ComponentSkip]] = {
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"Representative text encoder accuracy is already covered by flux_2_image_t2i for the same source component and topology"
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),
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},
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"layerwise_offload": {
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ComponentType.VAE: ComponentSkip(
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"Representative VAE accuracy is already covered by zimage_image_t2i for the same source component and topology"
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),
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ComponentType.TRANSFORMER: ComponentSkip(
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"Representative transformer accuracy is already covered by zimage_image_t2i for the same source component and topology"
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),
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ComponentType.TEXT_ENCODER: ComponentSkip(
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"Representative text encoder accuracy is already covered by zimage_image_t2i for the same source component and topology"
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),
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},
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"zimage_image_t2i_fp8": {
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ComponentType.VAE: ComponentSkip(
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"Representative VAE accuracy is already covered by zimage_image_t2i for the same source component and topology"
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@@ -67,12 +67,6 @@
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"psnr_threshold": 19.5,
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"mean_abs_diff_threshold": 13.5
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},
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"layerwise_offload": {
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"clip_threshold": 0.94,
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"ssim_threshold": 0.90,
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"psnr_threshold": 22.0,
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"mean_abs_diff_threshold": 9.0
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},
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"zimage_image_t2i_fp8": {
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"clip_threshold": 0.94,
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"ssim_threshold": 0.88,
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@@ -133,17 +133,6 @@ ONE_GPU_CASES: list[DiffusionTestCase] = [
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run_consistency_check=False,
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run_component_accuracy_check=False,
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),
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# TODO: replace with a faster model to test the --dit-layerwise-offload
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# TODO: currently, we don't support sending more than one request in test, and setting `num_outputs_per_prompt` to 2 doesn't guarantee the denoising be executed twice,
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# so we do one warmup and send one request instead
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DiffusionTestCase(
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"layerwise_offload",
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DiffusionServerArgs(
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model_path=DEFAULT_SMALL_MODEL_NAME_FOR_TEST,
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dit_layerwise_offload=True,
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dit_offload_prefetch_size=2,
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),
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),
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DiffusionTestCase(
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"zimage_image_t2i",
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DiffusionServerArgs(model_path=DEFAULT_SMALL_MODEL_NAME_FOR_TEST),
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@@ -451,72 +451,6 @@
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"expected_median_denoise_ms": 133.4,
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"estimated_full_test_time_s": 124.4
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},
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"layerwise_offload": {
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"stages_ms": {
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"TextEncodingStage": 170.96,
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"DenoisingStage": 1478.72,
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"InputValidationStage": 0.05,
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"LatentPreparationStage": 0.12,
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"TimestepPreparationStage": 39.69,
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"DecodingStage": 10.36
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},
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"denoise_step_ms": {
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"0": 47.34,
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"1": 21.89,
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"2": 167.21,
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"3": 165.98,
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"4": 165.95,
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"5": 166.72,
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"6": 166.38,
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"7": 165.72,
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"8": 166.67,
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"9": 167.48,
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"10": 166.07,
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"11": 166.46,
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"12": 166.35,
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"13": 167.04,
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"14": 165.94,
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"15": 166.39,
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"16": 165.83,
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"17": 166.98,
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"18": 167.14,
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"19": 166.29,
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"20": 166.83,
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"21": 166.31,
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"22": 167.9,
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"23": 166.6,
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"24": 166.84,
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"25": 166.46,
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"26": 167.13,
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"27": 168.16,
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"28": 165.95,
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"29": 166.48,
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"30": 166.95,
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"31": 165.79,
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"32": 165.74,
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"33": 165.77,
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"34": 168.15,
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"35": 166.99,
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"36": 168.39,
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"37": 166.83,
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"38": 166.67,
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"39": 166.41,
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"40": 166.67,
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"41": 167.09,
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"42": 167.2,
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"43": 167.22,
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"44": 167.19,
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"45": 166.4,
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"46": 166.27,
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"47": 166.75,
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"48": 166.06,
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"49": 167.24
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},
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"expected_e2e_ms": 1976.64,
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"expected_avg_denoise_ms": 163.76,
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"expected_median_denoise_ms": 188.61,
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"estimated_full_test_time_s": 122.0
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},
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"flux_2_ti2i": {
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"stages_ms": {
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"TextEncodingStage": 367.56,
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@@ -2164,14 +2098,14 @@
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"0": 259.26,
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"1": 164.46,
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"2": 263.36,
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"3": 257.61,
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"3": 650.0,
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"4": 271.46,
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"5": 266.71,
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"6": 232.55,
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"7": 270.08,
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"8": 259.96
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},
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"expected_e2e_ms": 2775.88,
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"expected_e2e_ms": 2850.0,
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"expected_avg_denoise_ms": 263.19,
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"expected_median_denoise_ms": 261.85,
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"estimated_full_test_time_s": 122.7
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@@ -2553,7 +2487,7 @@
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"29": 497.15
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},
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"expected_e2e_ms": 16722.42,
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"expected_avg_denoise_ms": 500.63,
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"expected_avg_denoise_ms": 520.0,
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"expected_median_denoise_ms": 494.9,
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"estimated_full_test_time_s": 144.2
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},
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