Comments (4)
I'm no expert on that matter. I took the fp16 conversion functions from http://half.sourceforge.net, which is supposed to implement the IEEE standard. If you think it is incorrect, please point to the part that is incorrect specifically and the documentation of the standard. Perhaps you can check with http://half.sourceforge.net as well?
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Sorry. I've checked it, and fp16 isn't IEEE standard, so it behaves differently from usual float and double. It is optimized solely for [-1.0; 1.0] range, so expects values to be normalized. Although theoretically, a hacked version of it can represent values up to 131072, which can be useful when fp16 is used as index into a lookup table, like i.e. for pow(x,1/2.2), which I'm using it for.
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Yes it behaves differently, but it is an IEEE standard I guess (https://en.wikipedia.org/wiki/Half-precision_floating-point_format). Anyway, doesn't matter, this is what it is :-)
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Yeah. They actually standardized it. I remember it being just some NVidia internal thingie. There is also bfloat16 format, which indeed acts as a normal float.
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Related Issues (13)
- Mismatch between README and example programs HOT 4
- Hard-coded relative path in test/tuner.cc HOT 1
- machine learning pipeline HOT 9
- clGetKernelWorkGroupInfo does not tell you the size of the output variable when passed nullptr and size=0 HOT 4
- GEMM on input sizes that are not a power of 2 HOT 3
- Using CLTune for optimizing saxpy HOT 8
- compiling with Clover (Mesa OpenCL) sample_conv gives errors HOT 3
- setting global size HOT 1
- [ERROR] Entries for a single kernel with multiple argument values HOT 5
- Not complied on embdded GPU HOT 3
- crash on my mac HOT 2
- ubuntu 16.04+g++ (Ubuntu 4.9.3-13ubuntu2) 4.9.3 HOT 7
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