Commit 09b7c67
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Updates with Poplar SDK 2.6 release
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- abc_covid_19/tensorflow2
- tests
- cosmoflow/tensorflow1
- configs
- data_gen
- models
- utils
- deep_drive_md/tensorflow2
- cvae
- et0/tensorflow1
- matrix_solve/matrix_solve_ce_op
- test_chinese_map
- applications
- popart
- bert
- bert_data
- configs
- mk1
- mk2
- custom_ops
- scripts
- mk1
- mk2
- tests
- integration
- utils
- conformer_asr
- custom_operators/ctc_loss
- tests
- deep_voice
- custom_ops
- faster-rcnn
- IPU/custom_ops
- include
- nms
- roi_align
- layer
- models
- tests
- resnext_inference
- transformer_transducer/training
- poplar
- monte_carlo_ray_tracing
- pytorch
- bert
- training_scripts
- cnns
- datasets
- inference
- tests_serial
- tests
- train
- utils
- conformer
- configs
- pic
- scripts
- src
- iterator
- layers
- utils
- tests
- detection
- configs
- models
- backbone
- neck
- tests
- utils
- custom_ops/copy_tensor
- dino
- core
- training_scripts
- miniDALL-E
- tests
- training_scripts
- vit
- tensorflow2
- bert
- configs
- data_utils
- keras_extensions
- model
- scripts
- utilities
- cluster_gcn
- configs
- data_utils
- keras_extensions/callbacks
- model
- tests_serial
- tests
- utilities
- efficientdet
- ipu_utils
- fastspeech2
- custom_op/length_regulator
- tests
- image_classification
- callbacks
- configuration
- data
- losses
- model
- optimizers
- schedules
- scripts
- test
- unet
- tensorflow
- autoencoder
- bert
- bert_data
- configs
- groupbert
- squad
- scripts
- tests_serial/configs
- tests
- configs
- click_through_rate
- common
- dien
- din
- test
- cnns
- inference
- synthetic_benchmarks
- training
- Datasets
- conformer
- contrastive_divergence_vae
- detection/yolov3
- dynamic_sparsity
- dataset_encoder
- ipu_sparse_ops
- language_modelling
- mnist_rigl
- reinforcement_learning
- sales_forecasting
- tgn
- code_examples
- popart
- block_sparse
- tensorflow2
- adversarial_generalized_method_of_moments
- message_passing_neural_network
- neural_image_fields
- tests
- tensorflow
- block_sparse/custom_ops
- concurrent_pipeline
- custom_ops
- tests
- mcmc
- unet_industrial
- gnn
- cluster_gcn/tensorflow2
- configs
- data_utils
- keras_extensions
- callbacks
- model
- scripts
- tests_serial
- tests
- utilities
- message_passing/tensorflow2
- data_utils
- static_ops
- tests
- spektral/tensorflow2
- tgn/tensorflow1
- tests
- miscellaneous
- monte_carlo_ray_tracing/poplar
- images
- scripts
- src
- codelets
- exr
- tests
- sales_forecasting/tensorflow1
- multimodal
- CLIP/pytorch
- datasets
- tests
- mini_dalle/pytorch
- models
- bpe
- tests
- training_scripts
- perceiver_io/pytorch
- configs
- models
- nlp
- bert
- popart
- bert_data
- bert_optimizer
- configs
- packed
- custom_ops
- workarounds
- scripts
- tests
- configs
- integration
- unit
- custom_ops
- distributed
- optimizer
- pytorch
- tools
- weight_loading
- tensorflow
- tools
- utils
- popxl
- config
- data
- demo
- pretraining
- squad
- execution
- pretraining
- squad
- imgs
- modelling
- tests
- integration
- execution
- layer
- unit
- layer
- utils
- pytorch
- custom_ops
- workarounds
- data
- packing
- tests_serial
- tests
- third_party
- tensorflow1
- bert_data
- configs
- groupbert
- squad
- figs
- lr_schedules
- scripts
- tests_serial
- configs
- tests
- configs
- unit
- tensorflow2
- configs
- data_utils
- glue
- squad_v1
- wikipedia
- figs
- keras_extensions
- callbacks
- learning_rate
- model
- scripts
- tests_serial
- tests
- utilities
- gpt
- popxl
- config
- data
- demo
- execution
- imgs
- modelling
- tests
- integration
- execution
- layers_TP
- layers
- utils
- pytorch
- config
- custom_ops
- workarounds
- data
- model
- run
- tasks
- tests
- tokenizer
- probability
- adversarial_generalized_method_of_moments/tensorflow2
- contrastive_divergence_vae/tensorflow1
- configs
- experiments
- machinable
- models
- vae
- architectures
- utils
- mcmc/tensorflow1
- recommendation
- autoencoder/tensorflow1
- click_through_rate/tensorflow1
- common
- dien
- test
- din
- test
- reinforcement_learning/rl_policy_model/tensorflow1
- sparsity
- block_sparse
- popart
- custom_ops
- examples
- mnist
- sparse_attention
- figs
- sparse_softmax
- tensorflow1
- custom_ops
- examples/mnist
- dynamic_sparsity/tensorflow1
- dataset_encoder
- test
- ipu_sparse_ops
- layers
- tests
- tools
- transformer
- language_modelling
- figs
- mnist_rigl
- images
- tests
- speech
- conformer
- popart
- custom_operators/ctc_loss
- model_configs
- tests
- tensorflow1
- configs
- espnet_docker
- tests
- deepvoice3/popart
- custom_ops
- fastpitch/pytorch
- common
- text
- fastpitch
- filelists
- pic
- platform
- scripts
- tacotron2
- tests
- waveglow
- fastspeech2/tensorflow2
- config
- custom_op/length_regulator
- preprocessor
- tests
- test_configs
- transformer_transducer/popart
- custom_ops
- exp_avg
- feat_augmentation
- rnnt_loss
- cpu_reference
- dynamic
- test
- torch_reference
- training
- common
- data
- dali
- text
- configs
- rnnt_reference
- scripts
- utils
- wenet_conformer
- pytorch
- configs
- custom_ops
- pic
- scripts
- src
- iterator
- layers
- utils
- tests
- utils
- distributed_training
- examples_tests
- copyright_test
- url_test
- vision
- cnns
- pytorch
- datasets
- inference
- models
- implementations
- tests_serial
- tests
- train
- utils
- tensorflow1
- inference
- configs
- models
- official_keras
- tests
- synthetic_benchmarks
- training
- Datasets
- LR_Schedules
- Models
- tests_serial
- test
- tensorflow2
- callbacks
- configuration
- datasets
- losses
- metrics
- model
- normalization
- optimizers
- schedules
- scripts
- tests_serial
- test
- dino/pytorch
- core
- ema
- script
- tests
- training_scripts
- efficientdet/tensorflow2
- NMS
- tf_multi
- tf
- backbone
- docs
- ipu_configs
- ipu_utils
- object_detection
- tests
- tf2
- visualize
- faster_rcnn/popart
- IPU
- custom_ops
- include
- google/protobuf
- io
- stubs
- onnx
- common
- defs
- nms
- roi_align
- datasets
- layer
- models
- nanodata
- dataset
- transform
- tests
- utils
- yamls
- neural_image_fields/tensorflow2
- tests
- resnext_inference/popart
- ssd/tensorflow1
- bounding_box_utils
- example_images
- keras_layers
- trained_weights
- swin/pytorch
- configs
- dataset
- models
- unet_industrial/tensorflow1
- unet_medical/tensorflow2
- vit/pytorch
- dataset
- models
- yolo_v3/tensorflow1
- config
- core
- data
- anchors
- classes
- mAP
- scripts
- tests
- original_model
- yolo_v4/pytorch
- configs
- models
- backbone
- head
- neck
- tests
- utils
- custom_ops
- copy_tensor
- nms
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