Comments (9)
Does no error on the output mean successful run ?
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maybe we can run the inference a few times and output the time it took to run similar to:
from shark.
Sounds good.
from shark.
Added here: https://github.com/NodLabs/dSHARK/pull/33/files
from shark.
Can we also please add a number of iteration flag ?
from shark.
Iters flag to run https://github.com/NodLabs/dSHARK/blob/db5be15310dda3d8906206d68cc9eb7136373bac/shark/examples/minilm_jit.py#L30
from shark.
Basically no. of times to run the inference?
from shark.
yeah
from shark.
maybe even a number of warmup runs
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Related Issues (20)
- LoRA models not showing up in dropdown
- System interrupts gets very high CPU followed by complete computer shutdown HOT 3
- Document for the compilation flow ?
- Enable llama2 benchmarking with Turbine HOT 1
- FP8 Support HOT 10
- (Shark-1.0) setup_venv.ps1 specifies a torch-mlir version that has dropped off the end of package index
- RuntimeError: duplicate registrations HOT 3
- Gradio Button has no attr "label"
- Gradio JSON has no option interactive
- problem with Torch-mlir on Ubuntu, latest en previous Shark version
- (Studio2) Centralize and minimize prompt handling for LLMs
- (Studio2) (Windows) 'rocm devices are not available'
- Drastic difference in images generated in 984 vs 1091
- Can't run SDXL Turbo at all. My 32GB of RAM at 100% and fails. HOT 2
- After compiling Vulkan shaders, multiple errors ensue HOT 3
- bf16 result mismatch for Conv2D op HOT 30
- Compiling vulkan shaders never ends HOT 4
- "AttributeError: module 'mpmath' has no attribute 'rational'" when recreating .venv (+workaround) HOT 2
- Error registering modules: C:\actions-runner\w\SRT\SRT\c\runtime\src\iree\hal\drivers\vulkan\native_executable.cc:51:
- running SDXL set to 1024x1024 renders a black image
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