Open
Conversation
* initial * toctree * fix * apply review and fix * Update docs/source/en/api/pipelines/z_image.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/api/pipelines/z_image.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/api/pipelines/z_image.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
…2796) * feat: Add `flow_prediction` to `prediction_type`, introduce `use_flow_sigmas`, `flow_shift`, `use_dynamic_shifting`, and `time_shift_type` parameters, and refine type hints for various arguments. * style: reformat argument wrapping in `_convert_to_beta` and `index_for_timestep` method signatures.
* init taylor_seer cache * make compatible with any tuple size returned * use logger for printing, add warmup feature * still update in warmup steps * refractor, add docs * add configurable cache, skip compute module * allow special cache ids only * add stop_predicts (cooldown) * update docs * apply ruff * update to handle multple calls per timestep * refractor to use state manager * fix format & doc * chores: naming, remove redundancy * add docs * quality & style * fix taylor precision * Apply style fixes * add tests * Apply style fixes * Remove TaylorSeerCacheTesterMixin from flux2 tests * rename identifiers, use more expressive taylor predict loop * torch compile compatible * Apply style fixes * Update src/diffusers/hooks/taylorseer_cache.py Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com> * update docs * make fix-copies * fix example usage. * remove tests on flux kontext --------- Co-authored-by: toilaluan <toilaluan@github.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Update the naming Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* add post init for safty checker Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * check transformers version before post init Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * Apply style fixes --------- Signed-off-by: jiqing-feng <jiqing.feng@intel.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
* support step-distilled * style
* Add ZImageImg2ImgPipeline
Updated the pipeline structure to include ZImageImg2ImgPipeline
alongside ZImagePipeline.
Implemented the ZImageImg2ImgPipeline class for image-to-image
transformations, including necessary methods for
encoding prompts, preparing latents, and denoising.
Enhanced the auto_pipeline to map the new ZImageImg2ImgPipeline
for image generation tasks.
Added unit tests for ZImageImg2ImgPipeline to ensure
functionality and performance.
Updated dummy objects to include ZImageImg2ImgPipeline for
testing purposes.
* Address review comments for ZImageImg2ImgPipeline
- Add `# Copied from` annotations to encode_prompt and _encode_prompt
- Add ZImagePipeline to auto_pipeline.py for AutoPipeline support
* Add ZImage pipeline documentation
---------
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
* Reimplement img2seq & seq2img in PRX to enable ONNX build without Col2Im (incompatible with TensorRT). * Apply style fixes --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
…py (#12798) feat: add flow sigmas, dynamic shifting, and refine type hints in DPMSolverSinglestepScheduler
* initiL * up up * fix: z_image -> z-image * style * copy * fix more * some docstring fix
* try to fix qwen edit plus multi images (modular) * up * up * test * up * up
* update * update * update * update * update * update * update * update * update * update
* improve distributed inference cp docs. * Apply suggestions from code review Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* post release 0.36.0 * Apply style fixes --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
* remove unneeded docs on load_lora_weights(). * remove more. * up[ * up * up
Signed-off-by: Wang, Yi <yi.a.wang@intel.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* [qwen-image] edit 2511 support * Apply style fixes --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
#12842) fix pytest tests/pipelines/pixart_sigma/test_pixart.py::PixArtSigmaPipelineIntegrationTests::test_pixart_512 in xpu Signed-off-by: Wang, Yi <yi.a.wang@intel.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* run control-lora on diffusers * cannot load lora adapter * test * 1 * add control-lora * 1 * 1 * 1 * fix PeftAdapterMixin * fix module_to_save bug * delete json print * resolve conflits * merged but bug * change peft.py * 1 * delete state_dict print * fix alpha * Create control_lora.py * Add files via upload * rename * no need modify as peft updated * add doc * fix code style * styling isn't that hard 😉 * empty --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Add LongCat-Image * Update src/diffusers/models/transformers/transformer_longcat_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/models/transformers/transformer_longcat_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/models/transformers/transformer_longcat_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/longcat_image/pipeline_longcat_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/longcat_image/pipeline_longcat_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/longcat_image/pipeline_longcat_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/models/transformers/transformer_longcat_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/longcat_image/pipeline_longcat_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * fix code * add doc * Update src/diffusers/pipelines/longcat_image/pipeline_longcat_image_edit.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/longcat_image/pipeline_longcat_image_edit.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/longcat_image/pipeline_longcat_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/longcat_image/pipeline_longcat_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/longcat_image/pipeline_longcat_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/longcat_image/pipeline_longcat_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * fix code & mask style & fix-copies * Apply style fixes * fix single input rewrite error --------- Co-authored-by: YiYi Xu <yixu310@gmail.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: hadoop-imagen <hadoop-imagen@psxfb7pxrbvmh3oq-worker-0.psxfb7pxrbvmh3oq.hadoop-aipnlp.svc.cluster.local>
* extend TorchAoTest::test_model_memory_usage to other platform Signe-off-by: Wang, Yi <yi.a.wang@inel.com> * add some comments Signed-off-by: Wang, Yi <yi.a.wang@intel.com> --------- Signed-off-by: Wang, Yi <yi.a.wang@intel.com>
* [qwen-image] qwen image layered support * [qwen-image] update doc * [qwen-image] fix pr comments * Apply style fixes * make fix-copies --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* init --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
…ion (#12852) * cosmos predict2.5 base: convert chkpt & pipeline - New scheduler: scheduling_flow_unipc_multistep.py - Changes to TransformerCosmos for text embeddings via crossattn_proj * scheduler cleanup * simplify inference pipeline * cleanup scheduler + tests * Basic tests for flow unipc * working b2b inference * Rename everything * Tests for pipeline present, but not working (predict2 also not working) * docstring update * wrapper pipelines + make style * remove unnecessary files * UniPCMultistep: support use_karras_sigmas=True and use_flow_sigmas=True * use UniPCMultistepScheduler + fix tests for pipeline * Remove FlowUniPCMultistepScheduler * UniPCMultistepScheduler for use_flow_sigmas=True & use_karras_sigmas=True * num_inference_steps=36 due to bug in scheduler used by predict2.5 * Address comments * make style + make fix-copies * fix tests + remove references to old pipelines * address comments * add revision in from_pretrained call * fix tests
* move node registry to mellon * up * fix * modula rpipeline update: filter out none for input_names, fix default blocks for pipe.init() and allow user pass additional kwargs_type in a dict * qwen modular refactor, unpack before decode * update mellon node config, adding* to required_inputs and required_model_inputs * modularpipeline.from_pretrained: error out if no config found * add a component_names property to modular blocks to be consistent! * flux image_encoder -> vae_encoder * controlnet_bundle * refator MellonNodeConfig MellonPipelineConfig * refactor & simplify mellon utils * vae_image_encoder -> vae_encoder * mellon config save keep key order * style + copies * add kwargs input for zimage
* Feature: Add Mambo-G Guidance to Qwen-Image Pipeline * change to guider implementation * fix copied code residual * Update src/diffusers/guiders/magnitude_aware_guidance.py * Apply style fixes --------- Co-authored-by: Pscgylotti <pscgylotti@github.com> Co-authored-by: YiYi Xu <yixu310@gmail.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
* Fix Flash Attention 3 interface compatibility for new FA3 versions Newer versions of flash-attn (after Dao-AILab/flash-attention@ed20940) no longer return lse by default from flash_attn_3_func. The function now returns just the output tensor unless return_attn_probs=True is passed. Updated _wrapped_flash_attn_3 and _flash_varlen_attention_3 to pass return_attn_probs and handle both old (always tuple) and new (tensor or tuple) return formats gracefully. Fixes #12022 * Simplify _wrapped_flash_attn_3 return unpacking Since return_attn_probs=True is always passed, the result is guaranteed to be a tuple. Remove the unnecessary isinstance guard.
…13187) * Fix LTX-2 image-to-video generation failure in two stages generation In LTX-2's two-stage image-to-video generation task, specifically after the upsampling step, a shape mismatch occurs between the `latents` and the `conditioning_mask`, which causes an error in function `_create_noised_state`. Fix it by creating the `conditioning_mask` based on the shape of the `latents`. * Add unit test for LTX-2 i2v two stages inference with upsampler * Downscaling the upsampler in LTX-2 image-to-video unit test * Apply style fixes --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
…fix) (#13188) * fixing text encoder lora loading * following Cursor's review
* update * Apply suggestion from @yiyixuxu * Update docs/source/en/modular_diffusers/auto_pipeline_blocks.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_pipeline_blocks.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_pipeline_blocks.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_pipeline_blocks.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * add to api --------- Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-161-123.ec2.internal>
* add a test to check modular index consistency * check for compulsory keys.
…sses in ModularPipeline (#13193) up Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-161-123.ec2.internal>
* updates in the pypi publication workflow. * change to 3.10
enable cpu offload test in torchao without compilation.
…g custom code (#13197) * update * update
* update * update
* update * update * update * update * update * update
Improve docstring scheduling ipndm
* up * up * update * remove test --------- Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-161-123.ec2.internal> Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal>
* add * update warn * add a test * updaqte * update_component with custom model * add more tests * Apply suggestion from @DN6 Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com> * up --------- Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-161-123.ec2.internal> Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
* feat: implement requirements validation for custom blocks. * up * unify. * up * add tests * Apply suggestions from code review Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com> * reviewer feedback. * [docs] validation for custom blocks (#13156) validation * move to tmp_path fixture. * propagate to conditional and loopsequential blocks. * up * remove collected tests --------- Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
…ogVideoX LoRA training (#13207) * Distribute VAE video encoding across processes in CogVideoX LoRA training Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * Apply style fixes --------- Signed-off-by: jiqing-feng <jiqing.feng@intel.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
* Implement synchronous onload for offloaded parameters Add fallback synchronous onload for conditionally-executed modules. * add test for new code path about group-offloading * Update tests/hooks/test_group_offloading.py Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * use unittest.skipIf and update the comment --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* [1/N] add helios * fix test * make fix-copies * change script path * fix cus script * update docs * fix documented check * update links for docs and examples * change default config * small refactor * add test * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * remove register_buffer for _scale_cache * fix non-cuda devices error * remove "handle the case when timestep is 2D" * refactor HeliosMultiTermMemoryPatch and process_input_hidden_states * Update src/diffusers/pipelines/helios/pipeline_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/pipelines/helios/pipeline_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * fix calculate_shift * Update src/diffusers/pipelines/helios/pipeline_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * rewritten `einops` in pure `torch` * fix: pass patch_size to apply_schedule_shift instead of hardcoding * remove the logics of 'vae_decode_type' * move some validation into check_inputs() * rename helios scheduler & merge all into one step() * add some details to doc * move dmd step() logics from pipeline to scheduler * change to Python 3.9+ style type * fix NoneType error * refactor DMD scheduler's set_timestep * change rope related vars name * fix stage2 sample * fix dmd sample * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * remove redundant & refactor norm_out * Update src/diffusers/pipelines/helios/pipeline_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * change "is_keep_x0" to "keep_first_frame" * use a more intuitive name * refactor dynamic_time_shifting * remove use_dynamic_shifting args * remove usage of UniPCMultistepScheduler * separate stage2 sample to HeliosPyramidPipeline * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * fix transformer * use a more intuitive name * update example script * fix requirements * remove redudant attention mask * fix * optimize pipelines * make style . * update TYPE_CHECKING * change to use torch.split Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * derive memory patch sizes from patch_size multiples * remove some hardcoding * move some checks into check_inputs * refactor sample_block_noise * optimize encoding chunks logits for v2v * use num_history_latent_frames = sum(history_sizes) * Update src/diffusers/pipelines/helios/pipeline_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * remove redudant optimized_scale * Update src/diffusers/pipelines/helios/pipeline_helios_pyramid.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * use more descriptive name * optimize history_latents * remove not used "num_inference_steps" * removed redudant "pyramid_num_stages" * add "is_cfg_zero_star" and "is_distilled" to HeliosPyramidPipeline * remove redudant * change example scripts name * change example scripts name * correct docs * update example * update docs * Update tests/models/transformers/test_models_transformer_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update tests/models/transformers/test_models_transformer_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * separate HeliosDMDScheduler * fix numerical stability issue: * Update src/diffusers/schedulers/scheduling_helios_dmd.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/schedulers/scheduling_helios_dmd.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/schedulers/scheduling_helios_dmd.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/schedulers/scheduling_helios_dmd.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/schedulers/scheduling_helios_dmd.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * remove redudant * small refactor * remove use_interpolate_prompt logits * simplified model test * fallbackt to BaseModelTesterConfig * remove _maybe_expand_t2v_lora_for_i2v * fix HeliosLoraLoaderMixin * update docs * use randn_tensor for test * fix doc typo * optimize code * mark torch.compile xfail * change paper name * Make get_dummy_inputs deterministic using self.generator * Set less strict threshold for test_save_load_float16 test for Helios pipeline * make style and make quality * Preparation for merging * add torch.Generator * Fix HeliosPipelineOutput doc path * Fix Helios related (optimize docs & remove redudant) (#13210) * fix docs * remove redudant * remove redudant * fix group offload * Removed fixes for group offload --------- Co-authored-by: yuanshenghai <yuanshenghai@bytedance.com> Co-authored-by: Shenghai Yuan <140951558+SHYuanBest@users.noreply.github.com> Co-authored-by: YiYi Xu <yixu310@gmail.com> Co-authored-by: SHYuanBest <shyuan-cs@hotmail.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
fix zimage lora conversion to support for more lora.
adding lora to z-image controlnet pipelines
* LTX2 condition pipeline initial commit * Fix pipeline import error * Implement LTX-2-style general image conditioning * Blend denoising output and clean latents in sample space instead of velocity space * make style and make quality * make fix-copies * Rename LTX2VideoCondition image to frames * Update LTX2ConditionPipeline example * Remove support for image and video in __call__ * Put latent_idx_from_index logic inline * Improve comment on using the conditioning mask in denoising loop * Apply suggestions from code review Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com> * make fix-copies * Migrate to Python 3.9+ style type annotations without explicit typing imports * Forward kwargs from preprocess/postprocess_video to preprocess/postprocess resp. * Center crop LTX-2 conditions following original code * Duplicate video and audio position ids if using CFG * make style and make quality * Remove unused index_type arg to preprocess_conditions * Add # Copied from for _normalize_latents * Fix _normalize_latents # Copied from statement * Add LTX-2 condition pipeline docs * Remove TODOs * Support only unpacked latents (5D for video, 4D for audio) * Remove # Copied from for prepare_audio_latents --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
* Fix Helios paper link in documentation Updated the link to the Helios paper for accuracy. * Fix reference link in HeliosTransformer3DModel documentation Updated the reference link for the Helios Transformer model paper. * Update Helios research paper link in documentation * Update Helios research paper link in documentation
* change to updated repo and version. * fix version and force updated kernels. * propagate version.
* feat: implement three RAE encoders(dinov2, siglip2, mae) * feat: finish first version of autoencoder_rae * fix formatting * make fix-copies * initial doc * fix latent_mean / latent_var init types to accept config-friendly inputs * use mean and std convention * cleanup * add rae to diffusers script * use imports * use attention * remove unneeded class * example traiing script * input and ground truth sizes have to be the same * fix argument * move loss to training script * cleanup * simplify mixins * fix training script * fix entrypoint for instantiating the AutoencoderRAE * added encoder_image_size config * undo last change * fixes from pretrained weights * cleanups * address reviews * fix train script to use pretrained * fix conversion script review * latebt normalization buffers are now always registered with no-op defaults * Update examples/research_projects/autoencoder_rae/README.md Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Update src/diffusers/models/autoencoders/autoencoder_rae.py Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * use image url * Encoder is frozen * fix slow test * remove config * use ModelTesterMixin and AutoencoderTesterMixin * make quality * strip final layernorm when converting * _strip_final_layernorm_affine for training script * fix test * add dispatch forward and update conversion script * update training script * error out as soon as possible and add comments * Update src/diffusers/models/autoencoders/autoencoder_rae.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * use buffer * inline * Update src/diffusers/models/autoencoders/autoencoder_rae.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * remove optional * _noising takes a generator * Update src/diffusers/models/autoencoders/autoencoder_rae.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * fix api * rename * remove unittest * use randn_tensor * fix device map on multigpu * check if the key is missing in the original state dict and only then add to the allow_missing set * remove initialize_weights --------- Co-authored-by: wangyuqi <wangyuqi@MBP-FJDQNJTWYN-0208.local> Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
Convert tensors to float in optimized_scale function
* post release 0.37.0 * style
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
20 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
What does this PR do?
Fixes # (issue)
Before submitting
documentation guidelines, and
here are tips on formatting docstrings.
Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.