Comments (2)
Perhaps, if helper functions (which are being called from an entrypoint) can specify their own module-level inputs (buffers, uniforms, textures), then any templating could be done at that level. So that all what's needed is a way to reset the types of input arguments. (And perhaps some helper builtin functions to deal with vectors of varying dimension.)
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Maybe you can draw some inspiration from Numba, actually.. they also translate python functions to cpu/gpu native code with a decorator and have the same issue. I believe they either compile at invocation time and read the types from the arguments and compile more type signatures as needed, or you specify the signature upfront as an argument to the decorator: https://numba.pydata.org/numba-doc/latest/index.htmluser/jit.html see the example code under "eager compilation". Sadly they only support one signature in this eager mode. Nevertheless this might give you some fresh ideas
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Related Issues (20)
- Syntax for defining input and output HOT 10
- First release to PyPi HOT 1
- pypi package is broken because readme is not included in the package. HOT 4
- Implicit type conversions HOT 4
- Trace debug info so we can produce more useful error messages. HOT 1
- Be more consistent about exception types raised by the parsers
- Add support for runtime constants (specialization)? HOT 1
- WebGPU shading language (WGSL) HOT 5
- Option to spell co_select in Python?
- Is our use of annotations ok? HOT 6
- Support shaders with jumps in bytecode >255 bytes
- Compute example crashes in create_compute_pipeline HOT 19
- Compiling to file HOT 2
- Error processing resulting SPIR-V shader in Vulkan 1.2.x (Kompute v0.4.2) HOT 2
- [FEATURE] Add support for layout local size(s) HOT 4
- Document math / built-in functions HOT 5
- Support for Python 3.9
- Is this worth it? HOT 9
- Archive this repo
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