[BUG] deepspeed inferene opt/66b model  OOM on 8GPUs

My deepspeed is 0.8.1 and transformers is 4.21.2 and I have 8 V100 32GB on my machine

I try the code ds_inference and set the mp_size to be 2/4/8.
The below is my error logs for mp_size = 4/8.

03-03 03:41:09,338] [INFO] [logging.py:75:log_dist] [Rank 0] DeepSpeed info: version=0.8.1, git-hash=unknown, git-branch=unknown
[2023-03-03 03:41:09,339] [WARNING] [config_utils.py:74:_process_deprecated_field] Config parameter mp_size is deprecated use tensor_parallel.tp_size instead
[2023-03-03 03:41:09,339] [WARNING] [config_utils.py:74:_process_deprecated_field] Config parameter mp_size is deprecated use tensor_parallel.tp_size instead
[2023-03-03 03:41:09,339] [WARNING] [config_utils.py:74:_process_deprecated_field] Config parameter mp_size is deprecated use tensor_parallel.tp_size instead
[2023-03-03 03:41:09,339] [WARNING] [config_utils.py:74:_process_deprecated_field] Config parameter mp_size is deprecated use tensor_parallel.tp_size instead
[2023-03-03 03:41:09,339] [WARNING] [config_utils.py:74:_process_deprecated_field] Config parameter mp_size is deprecated use tensor_parallel.tp_size instead
[2023-03-03 03:41:09,339] [WARNING] [config_utils.py:74:_process_deprecated_field] Config parameter mp_size is deprecated use tensor_parallel.tp_size instead
[2023-03-03 03:41:09,339] [WARNING] [config_utils.py:74:_process_deprecated_field] Config parameter mp_size is deprecated use tensor_parallel.tp_size instead
[2023-03-03 03:41:09,340] [WARNING] [config_utils.py:74:_process_deprecated_field] Config parameter mp_size is deprecated use tensor_parallel.tp_size instead
[2023-03-03 03:41:09,340] [INFO] [logging.py:75:log_dist] [Rank 0] quantize_bits = 8 mlp_extra_grouping = False, quantize_groups = 1
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file /home/lambda7xx/.cache/torch_extensions/py38_cu117/transformer_inference/build.ninja...
Building extension module transformer_inference...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
ninja: no work to do.
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.5223760604858398 seconds
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.5085861682891846 seconds
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.5094120502471924 seconds
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.5131995677947998 seconds
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.5160329341888428 seconds
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.5114881992340088 seconds
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.5109550952911377 seconds
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.6042768955230713 seconds
[2023-03-03 03:41:10,919] [INFO] [logging.py:75:log_dist] [Rank 0] DeepSpeed-Inference config: {'layer_id': 0, 'hidden_size': 9216, 'intermediate_size': 36864, 'heads': 72, 'num_hidden_layers': -1, 'fp16': True, 'pre_layer_norm': True, 'local_rank': -1, 'stochastic_mode': False, 'epsilon': 1e-12, 'mp_size': 4, 'q_int8': False, 'scale_attention': True, 'triangular_masking': True, 'local_attention': False, 'window_size': 1, 'rotary_dim': -1, 'rotate_half': False, 'rotate_every_two': True, 'return_tuple': True, 'mlp_after_attn': True, 'mlp_act_func_type': <ActivationFuncType.ReLU: 2>, 'specialized_mode': False, 'training_mp_size': 1, 'bigscience_bloom': False, 'max_out_tokens': 1024, 'scale_attn_by_inverse_layer_idx': False, 'enable_qkv_quantization': False, 'use_mup': False, 'return_single_tuple': False}
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.11136794090270996 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.10508179664611816 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.10427236557006836 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.1050100326538086 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.10665178298950195 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.10624575614929199 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.1120920181274414 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.10815262794494629 seconds

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Loading 14 checkpoint shards:   0%|          | 0/14 [00:00<?, ?it/s]Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 561, in replace_transformer_layer
    load_model_with_checkpoint(replaced_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 279, in load_model_with_checkpoint
    load_module_recursive(r_module)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 271, in load_module_recursive
    layer_policies[child.__class__](child, prefix + name + '.')
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 200, in load_transformer_layer
    replace_policy.load_params(module,
AttributeError: 'HFOPTLayerPolicy' object has no attribute 'load_params'
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 561, in replace_transformer_layer
    load_model_with_checkpoint(replaced_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 279, in load_model_with_checkpoint
    load_module_recursive(r_module)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 271, in load_module_recursive
    layer_policies[child.__class__](child, prefix + name + '.')
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 200, in load_transformer_layer
    replace_policy.load_params(module,
AttributeError: 'HFOPTLayerPolicy' object has no attribute 'load_params'

Loading 14 checkpoint shards:   0%|          | 0/14 [00:05<?, ?it/s]
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 561, in replace_transformer_layer
    load_model_with_checkpoint(replaced_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 279, in load_model_with_checkpoint
    load_module_recursive(r_module)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 271, in load_module_recursive
    layer_policies[child.__class__](child, prefix + name + '.')
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 200, in load_transformer_layer
    replace_policy.load_params(module,
AttributeError: 'HFOPTLayerPolicy' object has no attribute 'load_params'
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 561, in replace_transformer_layer
    load_model_with_checkpoint(replaced_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 279, in load_model_with_checkpoint
    load_module_recursive(r_module)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 271, in load_module_recursive
    layer_policies[child.__class__](child, prefix + name + '.')
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 200, in load_transformer_layer
    replace_policy.load_params(module,
AttributeError: 'HFOPTLayerPolicy' object has no attribute 'load_params'

Loading 14 checkpoint shards:   0%|          | 0/14 [00:05<?, ?it/s]

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Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 561, in replace_transformer_layer
    load_model_with_checkpoint(replaced_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 279, in load_model_with_checkpoint
    load_module_recursive(r_module)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 271, in load_module_recursive
    layer_policies[child.__class__](child, prefix + name + '.')
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 200, in load_transformer_layer
    replace_policy.load_params(module,
AttributeError: 'HFOPTLayerPolicy' object has no attribute 'load_params'
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 561, in replace_transformer_layer
    load_model_with_checkpoint(replaced_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 279, in load_model_with_checkpoint
    load_module_recursive(r_module)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 271, in load_module_recursive
    layer_policies[child.__class__](child, prefix + name + '.')
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 200, in load_transformer_layer
    replace_policy.load_params(module,
AttributeError: 'HFOPTLayerPolicy' object has no attribute 'load_params'

Loading 14 checkpoint shards:   0%|          | 0/14 [00:06<?, ?it/s]

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PHLRR4036:4558:5025 [4] NCCL INFO [Service thread] Connection closed by localRank 4
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 561, in replace_transformer_layer
    load_model_with_checkpoint(replaced_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 279, in load_model_with_checkpoint
    load_module_recursive(r_module)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 271, in load_module_recursive
    layer_policies[child.__class__](child, prefix + name + '.')
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 200, in load_transformer_layer
    replace_policy.load_params(module,
AttributeError: 'HFOPTLayerPolicy' object has no attribute 'load_params'
PHLRR4036:4558:4558 [4] NCCL INFO comm 0x4a158970 rank 4 nranks 8 cudaDev 4 busId 83000 - Abort COMPLETE
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 561, in replace_transformer_layer
    load_model_with_checkpoint(replaced_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 279, in load_model_with_checkpoint
    load_module_recursive(r_module)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 273, in load_module_recursive
    load_module_recursive(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 271, in load_module_recursive
    layer_policies[child.__class__](child, prefix + name + '.')
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/load_checkpoint.py", line 200, in load_transformer_layer
    replace_policy.load_params(module,
AttributeError: 'HFOPTLayerPolicy' object has no attribute 'load_params'
PHLRR4036:4556:5028 [3] NCCL INFO [Service thread] Connection closed by localRank 3
PHLRR4036:4556:4556 [3] NCCL INFO comm 0x4a9c1610 rank 3 nranks 8 cudaDev 3 busId 13000 - Abort COMPLETE

Loading 14 checkpoint shards:   0%|          | 0/14 [00:06<?, ?it/s]
PHLRR4036:4560:5029 [5] NCCL INFO [Service thread] Connection closed by localRank 5
PHLRR4036:4560:4560 [5] NCCL INFO comm 0x498b20b0 rank 5 nranks 8 cudaDev 5 busId 89000 - Abort COMPLETE

Loading 14 checkpoint shards:   0%|          | 0/14 [00:06<?, ?it/s]
PHLRR4036:4553:5017 [0] NCCL INFO [Service thread] Connection closed by localRank 0
PHLRR4036:4553:4553 [0] NCCL INFO comm 0x4b092180 rank 0 nranks 8 cudaDev 0 busId 5000 - Abort COMPLETE
PHLRR4036:4554:5024 [1] NCCL INFO [Service thread] Connection closed by localRank 1
PHLRR4036:4554:4554 [1] NCCL INFO comm 0x4a1b1a70 rank 1 nranks 8 cudaDev 1 busId 8000 - Abort COMPLETE
PHLRR4036:4564:5026 [7] NCCL INFO [Service thread] Connection closed by localRank 7
PHLRR4036:4564:4564 [7] NCCL INFO comm 0x4a6a3370 rank 7 nranks 8 cudaDev 7 busId 91000 - Abort COMPLETE
PHLRR4036:4562:5027 [6] NCCL INFO [Service thread] Connection closed by localRank 6
PHLRR4036:4555:5023 [2] NCCL INFO [Service thread] Connection closed by localRank 2
PHLRR4036:4562:4562 [6] NCCL INFO comm 0x4944deb0 rank 6 nranks 8 cudaDev 6 busId 8e000 - Abort COMPLETE
PHLRR4036:4555:4555 [2] NCCL INFO comm 0x47643180 rank 2 nranks 8 cudaDev 2 busId d000 - Abort COMPLETE
[2023-03-03 03:41:22,399] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 4553
[2023-03-03 03:41:22,433] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 4554
[2023-03-03 03:41:23,542] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 4555
[2023-03-03 03:41:23,839] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 4556
[2023-03-03 03:41:23,842] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 4558
[2023-03-03 03:41:23,843] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 4560
[2023-03-03 03:41:23,846] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 4562
[2023-03-03 03:41:23,848] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 4564
[2023-03-03 03:41:23,850] [ERROR] [launch.py:324:sigkill_handler] ['/usr/bin/python3', '-u', 'bloom-inference-scripts/bloom-ds-inference.py', '--local_rank=7', '--name', 'facebook/opt-66b', '--batch_size', '4', '--tp_size', '4', '--benchmark'] exits with return code = 1

my log for mp_size =2

nstalled CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combinationInstalled CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination

Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file /home/lambda7xx/.cache/torch_extensions/py38_cu117/transformer_inference/build.ninja...
Building extension module transformer_inference...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
ninja: no work to do.
Loading extension module transformer_inference...
Loading extension module transformer_inference...
Loading extension module transformer_inference...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.5659897327423096 seconds
Time to load transformer_inference op: 0.5149312019348145 seconds
Time to load transformer_inference op: 0.5152051448822021 seconds
[2023-03-03 03:40:39,841] [INFO] [logging.py:75:log_dist] [Rank 0] DeepSpeed-Inference config: {'layer_id': 0, 'hidden_size': 9216, 'intermediate_size': 36864, 'heads': 72, 'num_hidden_layers': -1, 'fp16': True, 'pre_layer_norm': True, 'local_rank': -1, 'stochastic_mode': False, 'epsilon': 1e-12, 'mp_size': 2, 'q_int8': False, 'scale_attention': True, 'triangular_masking': True, 'local_attention': False, 'window_size': 1, 'rotary_dim': -1, 'rotate_half': False, 'rotate_every_two': True, 'return_tuple': True, 'mlp_after_attn': True, 'mlp_act_func_type': <ActivationFuncType.ReLU: 2>, 'specialized_mode': False, 'training_mp_size': 1, 'bigscience_bloom': False, 'max_out_tokens': 1024, 'scale_attn_by_inverse_layer_idx': False, 'enable_qkv_quantization': False, 'use_mup': False, 'return_single_tuple': False}
Time to load transformer_inference op: 0.5122606754302979 seconds
Loading extension module transformer_inference...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.5149903297424316 seconds
Time to load transformer_inference op: 0.5106439590454102 seconds
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.6110687255859375 seconds
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.6097698211669922 seconds
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.09874415397644043 seconds
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.10198044776916504 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.10840225219726562 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.11503076553344727 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.10785055160522461 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.10958147048950195 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.10695767402648926 seconds
Using /home/lambda7xx/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
No modifications detected for re-loaded extension module transformer_inference, skipping build step...
Loading extension module transformer_inference...
Time to load transformer_inference op: 0.11722230911254883 seconds
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 532, in replace_transformer_layer
    replaced_module = replace_module(model=model,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 797, in replace_module
    replaced_module, _ = _replace_module(model, policy)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 814, in _replace_module
    replaced_module = policies[child.__class__][0](child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 522, in replace_fn
    new_module = replace_with_policy(child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 383, in replace_with_policy
    _container.create_module()
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/containers/opt.py", line 21, in create_module
    self.module = DeepSpeedOPTInference(_config, mp_group=self.mp_group)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_opt.py", line 18, in __init__
    super().__init__(config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_transformer.py", line 70, in __init__
    self.mlp = DeepSpeedMLP(self.config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/ops/transformer/inference/ds_mlp.py", line 45, in __init__
    self.output_w = nn.Parameter(torch.empty(intm_size_per_partition,
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 324.00 MiB (GPU 0; 31.75 GiB total capacity; 31.08 GiB already allocated; 216.50 MiB free; 31.08 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 532, in replace_transformer_layer
    replaced_module = replace_module(model=model,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 797, in replace_module
    replaced_module, _ = _replace_module(model, policy)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 814, in _replace_module
    replaced_module = policies[child.__class__][0](child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 522, in replace_fn
    new_module = replace_with_policy(child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 383, in replace_with_policy
    _container.create_module()
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/containers/opt.py", line 21, in create_module
    self.module = DeepSpeedOPTInference(_config, mp_group=self.mp_group)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_opt.py", line 18, in __init__
    super().__init__(config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_transformer.py", line 70, in __init__
    self.mlp = DeepSpeedMLP(self.config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/ops/transformer/inference/ds_mlp.py", line 45, in __init__
    self.output_w = nn.Parameter(torch.empty(intm_size_per_partition,
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 324.00 MiB (GPU 4; 31.75 GiB total capacity; 31.08 GiB already allocated; 216.50 MiB free; 31.08 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    model = deepspeed.init_inference(
engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    replace_transformer_layer(client_module,
      File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 532, in replace_transformer_layer
self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 532, in replace_transformer_layer
    replaced_module = replace_module(model=model,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 797, in replace_module
    replaced_module = replace_module(model=model,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 797, in replace_module
    replaced_module, _ = _replace_module(model, policy)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    replaced_module, _ = _replace_module(model, policy)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 814, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 814, in _replace_module
    replaced_module = policies[child.__class__][0](child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 522, in replace_fn
    new_module = replace_with_policy(child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 383, in replace_with_policy
    replaced_module = policies[child.__class__][0](child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 522, in replace_fn
    _container.create_module()
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/containers/opt.py", line 21, in create_module
    new_module = replace_with_policy(child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 383, in replace_with_policy
    self.module = DeepSpeedOPTInference(_config, mp_group=self.mp_group)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_opt.py", line 18, in __init__
    super().__init__(config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_transformer.py", line 70, in __init__
    _container.create_module()
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/containers/opt.py", line 21, in create_module
    self.mlp = DeepSpeedMLP(self.config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/ops/transformer/inference/ds_mlp.py", line 45, in __init__
    self.module = DeepSpeedOPTInference(_config, mp_group=self.mp_group)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_opt.py", line 18, in __init__
    self.output_w = nn.Parameter(torch.empty(intm_size_per_partition,
torch.cuda    .super().__init__(config,OutOfMemoryError
:   File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_transformer.py", line 70, in __init__
CUDA out of memory. Tried to allocate 324.00 MiB (GPU 3; 31.75 GiB total capacity; 31.08 GiB already allocated; 216.50 MiB free; 31.08 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
    self.mlp = DeepSpeedMLP(self.config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/ops/transformer/inference/ds_mlp.py", line 45, in __init__
    self.output_w = nn.Parameter(torch.empty(intm_size_per_partition,
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 324.00 MiB (GPU 7; 31.75 GiB total capacity; 31.08 GiB already allocated; 216.50 MiB free; 31.08 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 532, in replace_transformer_layer
    replaced_module = replace_module(model=model,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 797, in replace_module
    replaced_module, _ = _replace_module(model, policy)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 814, in _replace_module
    replaced_module = policies[child.__class__][0](child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 522, in replace_fn
    new_module = replace_with_policy(child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 383, in replace_with_policy
    _container.create_module()
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/containers/opt.py", line 21, in create_module
    self.module = DeepSpeedOPTInference(_config, mp_group=self.mp_group)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_opt.py", line 18, in __init__
    super().__init__(config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_transformer.py", line 70, in __init__
    self.mlp = DeepSpeedMLP(self.config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/ops/transformer/inference/ds_mlp.py", line 45, in __init__
    self.output_w = nn.Parameter(torch.empty(intm_size_per_partition,
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 324.00 MiB (GPU 2; 31.75 GiB total capacity; 31.08 GiB already allocated; 216.50 MiB free; 31.08 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 532, in replace_transformer_layer
    replaced_module = replace_module(model=model,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 797, in replace_module
    replaced_module, _ = _replace_module(model, policy)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 814, in _replace_module
    replaced_module = policies[child.__class__][0](child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 522, in replace_fn
    new_module = replace_with_policy(child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 383, in replace_with_policy
    _container.create_module()
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/containers/opt.py", line 21, in create_module
    self.module = DeepSpeedOPTInference(_config, mp_group=self.mp_group)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_opt.py", line 18, in __init__
    super().__init__(config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_transformer.py", line 70, in __init__
    self.mlp = DeepSpeedMLP(self.config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/ops/transformer/inference/ds_mlp.py", line 45, in __init__
    self.output_w = nn.Parameter(torch.empty(intm_size_per_partition,
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 324.00 MiB (GPU 5; 31.75 GiB total capacity; 31.08 GiB already allocated; 216.50 MiB free; 31.08 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 532, in replace_transformer_layer
    replaced_module = replace_module(model=model,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 797, in replace_module
    replaced_module, _ = _replace_module(model, policy)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 814, in _replace_module
    replaced_module = policies[child.__class__][0](child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 522, in replace_fn
    new_module = replace_with_policy(child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 383, in replace_with_policy
    _container.create_module()
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/containers/opt.py", line 21, in create_module
    self.module = DeepSpeedOPTInference(_config, mp_group=self.mp_group)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_opt.py", line 18, in __init__
    super().__init__(config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_transformer.py", line 70, in __init__
    self.mlp = DeepSpeedMLP(self.config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/ops/transformer/inference/ds_mlp.py", line 45, in __init__
    self.output_w = nn.Parameter(torch.empty(intm_size_per_partition,
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 324.00 MiB (GPU 6; 31.75 GiB total capacity; 31.08 GiB already allocated; 216.50 MiB free; 31.08 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Traceback (most recent call last):
  File "bloom-inference-scripts/bloom-ds-inference.py", line 185, in <module>
    model = deepspeed.init_inference(
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 134, in __init__
    self._apply_injection_policy(config)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 358, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 532, in replace_transformer_layer
    replaced_module = replace_module(model=model,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 797, in replace_module
    replaced_module, _ = _replace_module(model, policy)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 824, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 814, in _replace_module
    replaced_module = policies[child.__class__][0](child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 522, in replace_fn
    new_module = replace_with_policy(child,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 383, in replace_with_policy
    _container.create_module()
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/module_inject/containers/opt.py", line 21, in create_module
    self.module = DeepSpeedOPTInference(_config, mp_group=self.mp_group)
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_opt.py", line 18, in __init__
    super().__init__(config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/model_implementations/transformers/ds_transformer.py", line 70, in __init__
    self.mlp = DeepSpeedMLP(self.config,
  File "/home/lambda7xx/.local/lib/python3.8/site-packages/deepspeed/ops/transformer/inference/ds_mlp.py", line 45, in __init__
    self.output_w = nn.Parameter(torch.empty(intm_size_per_partition,
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 324.00 MiB (GPU 1; 31.75 GiB total capacity; 31.08 GiB already allocated; 216.50 MiB free; 31.08 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
PHLRR4036:3531:3986 [0] NCCL INFO [Service thread] Connection closed by localRank 0

opt-66b model should be about 132GB memory and I have 256GB GPU memory. I think it should not OOM


Add Restful API for project

Created Restful API for serving STAMPIFY using Flask.
Added basic UI for web interface of STAMPIFY to get URL and other preferences from user.

Command to run the server: /stampify/api$ python server.py
Web Interface with be hosted at http://<IP_ADDRESS>:5000/
API Endpoints:

/ to see home page for STAMPIFY (GET)
/submit to provide the details required for stampification. (POST)
Request params = {'website_url': url, 'max_pages': number_of_pages}

Yes sure! When this PR will be merged I will add the final instructions in the ReadMe.

Let me know if we can change the endpoints or any other implementation.


feat: Add output for access_policy_associations

Description

Adds to outputs.tf
output "access_policy_associations" {
  description = "Map of eks cluster access policy associations created and their attributes"
  value       = aws_eks_access_policy_association.this
}

Motivation and Context

fixes #2903
Breaking Changes

n/a
How Has This Been Tested?

[ ] I have updated at least one of the examples/* to demonstrate and validate my change(s)
[x] I have tested and validated these changes using one or more of the provided examples/* projects

[x] I have executed pre-commit run -a on my pull request

Ran this locally for the issue I mentioned in #2903 and was able to fix my dependency issue with explicit depends_on referencing module.aws_eks.access_entries and module.aws_eks.access_policy_associations.

This PR is included in version 20.1.0 :tada:


Upgrade jsonschema

Description

User-visible changes

The output of a validation failure changes to highlight where in the table design the error occurred. The new version of the jsonschema library also provides better output.
Current error message:
jsonschema.exceptions.ValidationError: [{'primary_key': ['id']}, {'unique': ['public_id']}, {'unique': ['public_id']}] is not of type 'object'

...

etl.errors.SchemaValidationError: failed to validate against 'table_design.schema'

Future error message:
jsonschema.exceptions.ValidationError: [{'primary_key': ['id']}, {'unique': ['public_id']}, {'unique': ['public_id']}] has non-unique elements

...

etl.errors.SchemaValidationError: failed to validate '$.constraints' against 'table_design.schema'

Internal changes

This upgrades jsonschema to 4.2.1.
This is not compatible with Python 3.6.
Testing

For example, pick a table design with a table constraint and double it up:
    "constraints": [
        {
            "unique": [
                "public_id"
            ],
        },
        {
            "unique": [
                "public_id"
            ],
        }
    ],

Closing. Requires Python >= 3.7


[zh] Resync service-accounts-admin.md

Fix typo in SA admission controller steps referring to upstream #38428.
And resync other sections.

/lgtm
/approve


Escape quotes

We had an issue where a parent with a quote in their name (Eg. Robert "Bob" Jones) caused the Javascript string to end (line 130/131), which caused the "student" variable to not be set and the overall script to fail. Removing the quote before returning the value fixed it. This may need to be done on other fields as needed.

This nested replace chain may be a more comprehensive solution.

With the updates I've been making lately to this repo and iep-printing-php, this is no longer an issue for iep-printing.


Update .travis.yml

This change is

Current coverage is 29.54%

Merging #26 into master will not affect coverage as of 25bf499

@@            master     #26   diff @@
======================================
  Files           38      38
  Stmts         1435    1435
  Branches       165     165
  Methods          0       0
======================================
  Hit            424     424
  Partial         39      39
  Missed         972     972

Review entire Coverage Diff as of 25bf499

Powered by Codecov. Updated on successful CI builds.

mb also
cache:
  directories:
  - $HOME/.m2

to faster builds?
https://docs.travis-ci.com/user/caching/#Arbitrary-directories

Could try.
Sent from my iPad

On Apr 18, 2016, at 2:58 PM, Merkushev Kirill<EMAIL_ADDRESS>wrote:
mb also
cache:
directories:

$HOME/.m2
to faster builds?
https://docs.travis-ci.com/user/caching/#Arbitrary-directories

—
You are receiving this because you authored the thread.
Reply to this email directly or view it on GitHub


POL-273 - Unsanctioned Apps with Managed Contract

Description
initial release of Unsanctioned SaaS Apps with Existing Contract policy
Contribution Check List

[x] All tests pass.
[x] New functionality includes testing.
[x] New functionality has been documented in the README if applicable
[x] New functionality has been documented in CHANGELOG.MD

tested policy incident: https://governance.rightscale.com/org/27730/projects/121937/policy-incidents/5ebd7f377848180001401b22


Adjustable camera FOV

Currently, this is set to 45 degrees, with a robust rationale of "this looked good for some test models awhile back" -- of course there's not a one-size-fits-all, so this will need to be configured. Here's an example of zooming in on a long model, where the spheres on the sides really start to bend due to the small FOV:

It would be good if developers could control this, but there's also room for automatic adjustment based upon the distance from model geometry, i.e. as you get closer to the geometry it may make sense to widen the FOV instead of physically getting nearer

I take it the current setting is 45 deg vertical FOV? As a start we could set FOV to 45 for the widest direction. I agree that it should be configurable.


Request to add my resume

Hi @Luciferlocas, I want to display my resume on the card
can you please add Labels on this for Hactoberfest? Thanks.

Assigned to @karthik-script


feat: Add css layers to fix specificity

Related to #1456

This is working, but due to a lot of changes in #1696, we will be implementing css layers after that is merged - to avoid conflicts.


Download and use local weigths

Hello!
I am opening this issue because I have a problem with the download of the weights. I am actually using the 1.5.7 version of the total segmentator, and this error appears :

To overcome this problem, I've seen that I have to download the weights locally, and I don't know exactly how I am supposed to do ? And once I have download them, how can I use the total segmentator and specify him to use the local weights instead of download them from the web ?
Thanks for your answer!

This is strange. In version 1.5.7 there should be no URL pointing to zenodo anymore. All should point to github releases. Are you maybe still running a earlier version?

No I am on the 1.5.7 version for sure. If it's preferable I can update my version but I still don't know how I can download and use weights locally?

You can use the following command to download the weights in an extra command:
totalseg_download_weights -t total

I would like to re-open this issue as I have the same kind of question! I was able to download the weights for version 1.5.7 of the Total Segmentator with the command given in your reply @wasserth so already thanks for that. How can I use the downloaded weights to run the total segmentator ?


I can't find the problem,please help me

Challenge Inform with the Paragraph Element has an issue.
User Agent is: Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36.
Please describe how to reproduce this issue, and include links to screenshots if possible.
My code:

I'm a  p tag!
Hello Paragraph

Thank you for reporting this issue.
This is a standard message notifying you that this issue seems to be a request for help. Instead of asking for help here, please click the "Help" button on the challenge on freeCodeCamp, which will take you to the help chatroom for that specific challenge. You can also view our full list of official chatrooms.
If you think I'm wrong in closing this issue, please reopen it and add further clarification. Thank you, and happy coding.


Post a PR comment when semver is violated

Motivations
Right now release-plz analyzes semver violations on the main branch and bumps the version accordingly. But having a semver violation committed to main might be already too late!
Solution
We want to post a PR comment when there's a semver violation.
The maintainer is free to merge the PR, but they have been warned :)
Why doing this in release-plz and not in another github action? because we want to rely on the config file we are going to implement soon.

This workflow should be added to the
on:
  pull_request:

in github actions.
We should add a command called "review". E.g. release-plz review <pr_link>.
Question

Is there a convenient way to add this to the cargo-semver-check action, too?

To avoid being too spammy, we should only post the commit when semver checks detects a breaking change in the changed lines of the PRs.
If a line was deleted or edited and a breaking change was detected that, then let's post thr comment.
Btw we should also post the comment if semver is respected, right?


ci(jest): set maxWorkers to 2

Description:
Jest process doesn’t quit after last test completes. This can cause our tests to fail sometimes, particularly on on Appveyor.
As an attempt to get past this previously we had set --forceExit in our jest cli options, but this doesn't always work either.
Further research suggests that setting ``--maxWorkers=2` could resolve the issue.
See

https://github.com/facebook/jest/issues/1456#issuecomment-424356243
https://github.com/facebook/jest/blob/master/docs/Troubleshooting.md

Fix #774, Fix #773
How Has This Been Tested?
Run e2e tests locally and on CI.
Types of changes:
CI improvement
Checklist:

[x] My code follows the code style of this project.
[x] I have reviewed and updated the documentation accordingly.
[x] I have read the CONTRIBUTING document.
[ ] I have added tests to cover my changes where needed.
[ ] All new and existing tests passed.
[x] My commits have been squashed into a concise set of changes.

Coverage increased (+1.2%) to 16.323% when pulling 11ab3999b7d7f7feb7fc8805fa0bc1557e901217 on mrfelton:ci/jest-maxworkers into 88fcf7537a824b98a80dfabaa11bb1bcde5b5504 on LN-Zap:master.


tracking dependencies in two files is confusing

we now have some in setup.cfg, some in pyproject.toml
there should ideally just be one source of truth

I think this was introduced by me due to trying to use PDM


Wiki : How to build and run ROS2 Humble on Jetson AGX Xavier

Hi,
I am trying to install ROS2 Humble on Jetson AGX Xavier. Since Jetson AGX Xavier currently is with ubuntu 20.04 so I think I have to use the ROS container.
I did the following
$ git clone https://github.com/dusty-nv/jetson-containers.git
$ cd jetson-containers
$ scripts/docker_build_ros.sh --distro humble --package desktop
It has built successfully with some stderr for some packages.
Please could you provide the next steps to test ros and run/work with ros?

Hi @htex0189, you can run scripts/docker_run.sh -c <CONTAINER> to start the container - for example, scripts/docker_run.sh -c ros:humble-desktop-l4t-r35.1.0 if you are on L4T R35.1

@htex0189  Using the following docker images worked for me https://hub.docker.com/r/dustynv/ros/tags
Thank you @dusty-nv


Customize Bottom Navigation Bar

Is your feature request related to a problem? Please describe.
Currently, I'm able to customize the side navigation menu. However, I cannot customize the bottom navigation bar, even though it's more accessible.
Describe the solution you'd like
Make a menu to customize the bottom navigation bar just like the side navigation menu. We should be able to pick from 3-6 buttons for the bar, and reorder them as we see fit.
Describe alternatives you've considered
Disabling the navigation bar is already an option. However, doing so makes using the app slower, since the sidebar then needs to be opened for any navigation.

أرى ان هذه فكرة جيدة وعملية، أحسنت.

This would be much appreciated 😊👍

At least please add "Camera album" to the bar!


dnd-handle is not working

@marceljuenemann
Hi
Thanks for the great library.
I'm going to use dnd-handle but it's not working.
I'm going to move round with icon-move only but I can still drag and drop the whole item.
I've tested your sample code on my localhost but it's not working as well.
Any ideas?
Thanks

For anyone else that ended up here after having a similar issue... the problem for me seemed to be that the handle only worked if the element with dnd-handle on it was a direct child of <dnd-nodrag>. If the handle was nested within other elements, though, it didn't work :(

@oksas it works, now. Thanks.


Turn sequelize hook an installable

https://github.com/cesardeazevedo/sails-hook-sequelize-blueprints/tree/master/test/fixtures/sampleapp/api/hooks

I do my best, I hope I don't screw anything, because this is my first package:
sails-hook-sequelize

perfect, i'll take a look and add to the sampleapp test.
thank you very much.


Test Story

Test

undefined# Test Result 3.5.2022, 09:51:10
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 2 :x:
Link to the official report: Report

undefined# Test Result 7/17/2022, 11:59:15 AM
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 17.7.2022, 14:08:48
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 17.7.2022, 14:10:55
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 17.7.2022, 14:12:46
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 17.7.2022, 14:19:58
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 17.7.2022, 14:20:24
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 17.7.2022, 14:21:14
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 17.7.2022, 14:22:20
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 7/17/2022, 12:45:30 PM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 0 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 7/17/2022, 12:52:58 PM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 0 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 7/17/2022, 12:56:52 PM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 0 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 7/17/2022, 1:01:05 PM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 0 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 7/17/2022, 1:06:36 PM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 0 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 18.7.2022, 10:52:29
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 18.7.2022, 10:54:00
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 18.7.2022, 10:56:00
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 18.7.2022, 10:59:27
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 18.7.2022, 11:08:03
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 18.7.2022, 11:27:06
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 7/18/2022, 10:11:42 AM
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 18.7.2022, 12:20:13
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 18.7.2022, 12:20:21
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 7/18/2022, 10:25:27 AM
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 18.7.2022, 18:02:57
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 18.7.2022, 18:09:49
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 0 :white_check_mark:
Scenarios failed: 3 :x:
Link to the official report: Report

undefined# Test Result 18.7.2022, 18:10:44
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 18.7.2022, 18:20:31
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 7/18/2022, 4:22:29 PM
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 7/18/2022, 4:26:53 PM
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 7/18/2022, 4:33:34 PM
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 7/19/2022, 12:09:28 PM
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 25.7.2022, 21:23:22
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 25.7.2022, 22:24:41
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 25.7.2022, 22:41:01
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 2.8.2022, 13:18:35
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 8/2/2022, 1:48:11 PM
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 2.8.2022, 16:31:17
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 2.8.2022, 16:37:12
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 2.8.2022, 16:41:11
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 2.8.2022, 18:05:39
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 2.8.2022, 18:15:28
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 2.8.2022, 20:01:03
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 2.8.2022, 20:05:44
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 2.8.2022, 20:07:34
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 8/2/2022, 6:12:04 PM
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 2.8.2022, 20:26:18
Tested Scenario: "Test"
Test passed: false:x:
Steps passed: 3 :white_check_mark:
Steps failed: 1 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 2.8.2022, 20:28:04
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 0 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 8/2/2022, 6:29:39 PM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 2 :x:
Link to the official report: Report

undefined# Test Result 8/2/2022, 6:30:16 PM
Tested Scenario: "Chrome Test"
Test passed: false:x:
Steps passed: 1 :white_check_mark:
Steps failed: 2 :x:
Steps skipped: 2 :warning:
Link to the official report: Report

undefined# Test Result 8/2/2022, 6:30:31 PM
Tested Scenario: "Chrome Test"
Test passed: false:x:
Steps passed: 0 :white_check_mark:
Steps failed: 2 :x:
Steps skipped: 3 :warning:
Link to the official report: Report

undefined# Test Result 8/2/2022, 6:36:07 PM
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 3.8.2022, 10:47:27
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 0 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 3.8.2022, 10:50:04
Tested Scenario: "Test"
Test passed: false:x:
Steps passed: 4 :white_check_mark:
Steps failed: 1 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 3.8.2022, 11:41:33
Tested Scenario: "Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 8/3/2022, 12:48:36 PM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 2 :x:
Link to the official report: Report

undefined# Test Result 29.8.2022, 16:59:38
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 29.8.2022, 17:00:05
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 29.8.2022, 17:00:37
Tested Scenario: "Chrome Test"
Test passed: false:x:
Steps passed: 0 :white_check_mark:
Steps failed: 2 :x:
Steps skipped: 3 :warning:
Link to the official report: Report

undefined# Test Result 29.8.2022, 17:53:20
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 30.8.2022, 07:54:33
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 9/8/2022, 12:53:34 PM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 9/9/2022, 10:21:06 AM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 9/13/2022, 8:04:03 AM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 9/13/2022, 8:12:27 AM
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 9/13/2022, 8:14:40 AM
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 9/13/2022, 8:17:42 AM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 9/13/2022, 8:28:13 AM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 9/13/2022, 8:37:44 AM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 9/13/2022, 9:08:40 AM
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 9/13/2022, 9:31:41 AM
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 9/13/2022, 9:32:56 AM
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 13.9.2022, 12:27:06
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 0 :white_check_mark:
Scenarios failed: 3 :x:
Link to the official report: Report

undefined# Test Result 13.9.2022, 12:29:01
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 2 :x:
Link to the official report: Report

undefined# Test Result 13.9.2022, 12:29:45
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 2 :x:
Link to the official report: Report

undefined# Test Result 13.9.2022, 12:32:26
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 13.9.2022, 12:40:53
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 15.9.2022, 18:03:30
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 15.9.2022, 18:04:09
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 15.9.2022, 21:08:33
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 15.9.2022, 21:20:25
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 15.9.2022, 21:21:48
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 15.9.2022, 21:29:25
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 15.9.2022, 21:37:34
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 16.9.2022, 11:31:15
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 16.9.2022, 15:57:56
Tested Scenario: "Chrome Test"
Test passed: false:x:
Steps passed: 1 :white_check_mark:
Steps failed: 2 :x:
Steps skipped: 2 :warning:
Link to the official report: Report

undefined# Test Result 16.9.2022, 16:02:47
Tested Scenario: "Chrome Test"
Test passed: false:x:
Steps passed: 1 :white_check_mark:
Steps failed: 2 :x:
Steps skipped: 2 :warning:
Link to the official report: Report

undefined# Test Result 19.9.2022, 14:59:29
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 19.9.2022, 15:25:22
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 19.9.2022, 15:25:42
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 27.10.2022, 08:35:38
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 30.10.2022, 16:01:02
Tested Scenario: "Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 5.1.2023, 14:59:33
Tested Scenario: "Chrome Test"
Test passed: false:x:
Steps passed: 1 :white_check_mark:
Steps failed: 2 :x:
Steps skipped: 2 :warning:
Link to the official report: Report

undefined# Test Result 5.1.2023, 15:00:40
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 5.1.2023, 15:55:23
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 5.1.2023, 15:55:39
Tested Scenario: "Chrome Test"
Test passed: false:x:
Steps passed: 1 :white_check_mark:
Steps failed: 2 :x:
Steps skipped: 2 :warning:
Link to the official report: Report

undefined# Test Result 5.1.2023, 15:58:11
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 5.1.2023, 16:01:15
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 8.1.2023, 16:08:41
Tested Story: "Test Story"
Test passed: true:white_check_mark:
Scenarios passed: 3 :white_check_mark:
Scenarios failed: 0 :x:
Link to the official report: Report

undefined# Test Result 8.1.2023, 16:58:11
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 2 :white_check_mark:
Scenarios failed: 1 :x:
Link to the official report: Report

undefined# Test Result 4.4.2023, 19:37:31
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 4.4.2023, 19:37:48
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 4.4.2023, 19:37:57
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 4.4.2023, 19:38:38
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 4.4.2023, 19:39:55
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 2 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 4.4.2023, 19:40:16
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 4.4.2023, 19:44:07
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 4/6/2023, 11:56:46 AM
Tested Scenario: "Chrome Test"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report

undefined# Test Result 31.5.2023, 14:45:27
Tested Story: "Test Story"
Test passed: false:x:
Scenarios passed: 1 :white_check_mark:
Scenarios failed: 2 :x:
Link to the official report: Report

Test Result 5.9.2023, 10:48:17
Tested Scenario: "Test Story"
Test passed: true:white_check_mark:
Steps passed: 5 :white_check_mark:
Steps failed: 0 :x:
Steps skipped: 0 :warning:
Link to the official report: Report


Bump framework version

Bump framework version

PR builder completed
Link: https://github.com/wso2/product-is/actions/runs/1193337540
Status: failure

PR builder completed
Link: https://github.com/wso2/product-is/actions/runs/1193629894
Status: success