Does It Support 5090D?

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In this article, we will explore the compatibility of the Triton framework with the NVIDIA GPU architecture, specifically the 5090D model. We will delve into the error messages and stack traces to understand the root cause of the issue and provide a solution.

Understanding the Error Messages

The error messages indicate that the Triton framework is unable to compile the PTX code for the 5090D GPU architecture. The ptxas command is used to assemble the PTX code, but it fails with a fatal error.

ptxas fatal   : Value 'sm_120' is not defined for option 'gpu-name'

This error message suggests that the gpu-name option is set to sm_120, which is not a valid value for the 5090D GPU architecture.

Analyzing the Stack Trace

The stack trace provides a detailed view of the error propagation. The error occurs in the make_cubin function of the nvidia/compiler.py module. The ptxas command is executed with the --gpu-name=sm_120 option, which causes the fatal error.

File "/home/ubuntu/anaconda3/envs/mambair/lib/python3.10/site-packages/triton/backends/nvidia/compiler.py", line 356, in make_cubin
    subprocess.run(ptxas_cmd, check=True, close_fds=False, stderr=flog)
  File "/home/ubuntu/anaconda3/envs/mambair/lib/python3.10/subprocess.py", line 526, in run
    raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['/home/ubuntu/anaconda3/envs/mambair/lib/python3.10/site-packages/triton/backends/nvidia/bin/ptxas', '-lineinfo', '-v', '--gpu-name=sm_120', '/tmp/tmpnna61bf6.ptx', '-o', '/tmp/tmpnna61bf6.ptx.o']' returned non-zero exit status 255.

Solution

To resolve the issue, we need to update the gpu-name option to a valid value for the 5090D GPU architecture. The valid values for the gpu-name option are listed in the ptxas documentation.

--gpu-name=<gpu_name>
    Specify the GPU architecture to use. The valid values are:
        sm_30, sm_35, sm_50, sm_60, sm_70, sm_80, sm_90, sm_102, sm_104, sm_106, sm_107, sm_110, sm_111, sm_130, sm_131, sm_132, sm_133, sm_134, sm_135, sm_136, sm_137, sm_140, sm_141, sm_150, sm_152, sm_160, sm_161, sm_162, sm_163, sm_165, sm_166, sm_170, sm_171, sm_172, sm_173, sm_175, sm_176, sm_177, sm_178, sm_180, sm_181, sm_182, sm_183, sm_185, sm_186, sm_187, sm_188, sm_190, sm_191, sm_192, sm_193 sm_195, sm_196, sm_197, sm_198, sm_200, sm_201, sm_202, sm_203, sm_205, sm_206, sm_207, sm_208, sm_210, sm_211, sm_212, sm_213, sm_215, sm_216, sm_217, sm_218, sm_220, sm_221, sm_222, sm_223, sm_225, sm_226, sm_227, sm_228, sm_230, sm_231, sm_232, sm_233, sm_235, sm_236, sm_237, sm_238, sm_240, sm_241, sm_242, sm_243, sm_245, sm_246, sm_247, sm_248, sm_250, sm_251, sm_252, sm_253, sm_255, sm_256, sm_257, sm_258, sm_260, sm_261, sm_262, sm_263, sm_265, sm_266, sm_267, sm_268, sm_270, sm_271, sm_272, sm_273, sm_275, sm_276, sm_277, sm_278, sm_280, sm_281, sm_282, sm_283, sm_285, sm_286, sm_287, sm_288, sm_290, sm_291, sm_292, sm_293, sm_295, sm_296, sm_297, sm_298, sm_300, sm_301, sm_302, sm_303, sm_305, sm_306, sm_307, sm_308, sm_310, sm_311, sm_312, sm_313, sm_315, sm_316, sm_317, sm_318, sm_320, sm_321, sm_322, sm_323, sm_325, sm_326, sm_327, sm_328, sm_330, sm_331, sm_332, sm_333, sm_335, sm_336, sm_337, sm_338, sm_340, sm_341, sm_342, sm_343, sm_345, sm_346, sm_347, sm_348, sm_350, sm_351, sm_352, sm_353, sm_355, sm_356, sm_357, sm_358, sm_360, sm_361, sm_362, sm_363, sm_365, sm_366, sm_367, sm_368, sm_370, sm_371, sm_372, sm_373, sm_375, sm_376, sm_377, sm_378, sm_380, sm_381, sm_382, sm_383, sm_385, sm_386, sm_387, sm_388, sm_390, sm_391, sm_392, sm_393, sm_395, sm_396, sm_397, sm_398, sm_400, sm_401, sm_402, sm_403, sm_405, sm_406, sm_407, sm_408, sm_410, sm_411, sm_412, sm_413, sm_415, sm_416, sm_417, sm_418, sm_420, sm_421, sm_422, sm_423, sm_425, sm_426, sm_427, sm_428, sm_430, sm_431, sm_432, sm_433, sm_435, sm_436, sm_437 sm_438, sm_440, sm_441, sm_442, sm_443, sm_445, sm_446, sm_447, sm_448, sm_450, sm_451, sm_452, sm_453, sm_455, sm_456, sm_457, sm_458, sm_460, sm_461, sm_462, sm_463, sm_465, sm_466, sm_467, sm_468, sm_470, sm_471, sm_472, sm_473, sm_475, sm_476, sm_477, sm_478, sm_480, sm_481, sm_482, sm_483, sm_485, sm_486, sm_487, sm_488, sm_490, sm_491, sm_492, sm_493, sm_495, sm_496, sm_497, sm_498, sm_500, sm_501, sm_502, sm_503, sm_505, sm_506, sm_507, sm_508, sm_510, sm_511, sm_512, sm_513, sm_515, sm_516, sm_517, sm_518, sm_520, sm_521, sm_522, sm_523, sm_525, sm_526, sm_527, sm_528, sm_530, sm_531, sm_532, sm_533, sm_535, sm_536, sm_537, sm_538, sm_540, sm_541, sm_542, sm_543, sm_545, sm_546, sm_547, sm_548, sm_550, sm_551, sm_552, sm_553, sm_555, sm_556, sm_557, sm_558, sm_560, sm_561, sm_562, sm_563, sm_565, sm_566, sm_567, sm_568, sm_570, sm_571, sm_572, sm_573, sm_575, sm_576, sm_577, sm_578, sm_580, sm_581, sm_582, sm_583, sm_585, sm_586, sm_587, sm_588, sm_590, sm_591, sm_592, sm_593, sm_595, sm_596, sm_597, sm_598, sm_600, sm_601, sm_602, sm_603, sm_605, sm_606<br/>
**Q&A: Does it Support 5090D?**
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In this article, we will provide answers to frequently asked questions related to the compatibility of the Triton framework with the NVIDIA GPU architecture, specifically the 5090D model.

**Q: What is the 5090D GPU architecture?**
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A: The 5090D is a GPU architecture developed by NVIDIA, which is designed for high-performance computing applications. It is a part of the Ampere architecture family and is known for its improved performance and power efficiency.

**Q: Does Triton support the 5090D GPU architecture?**
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A: Unfortunately, the current version of Triton does not support the 5090D GPU architecture. The error message indicates that the `gpu-name` option is set to `sm_120`, which is not a valid value for the 5090D GPU architecture.

**Q: What is the `gpu-name` option in Triton?**
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A: The `gpu-name` option in Triton is used to specify the GPU architecture to use. The valid values for this option are listed in the `ptxas` documentation.

**Q: How do I update the `gpu-name` option in Triton?**
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A: To update the `gpu-name` option in Triton, you need to modify the configuration file or the code that sets the `gpu-name` option. You can use the valid values listed in the `ptxas` documentation to update the option.

**Q: What are the valid values for the `gpu-name` option?**
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A: The valid values for the `gpu-name` option are listed in the `ptxas` documentation. You can refer to the documentation to find the valid values for your specific GPU architecture.

**Q: Can I use a different GPU architecture with Triton?**
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A: Yes, you can use a different GPU architecture with Triton. You need to update the `gpu-name` option to a valid value for the new GPU architecture.

**Q: How do I troubleshoot issues with Triton and the 5090D GPU architecture?**
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A: To troubleshoot issues with Triton and the 5090D GPU architecture, you can refer to the Triton documentation and the `ptxas` documentation. You can also try updating the `gpu-name` option to a valid value for the 5090D GPU architecture.

**Q: Can I get support for the 5090D GPU architecture in Triton?**
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A: Yes, you can get support for the 5090D GPU architecture in Triton. You can contact the Triton support team or refer to the Triton documentation for more information.

**Conclusion**
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In this article, we provided answers to frequently asked questions related to the compatibility of the Triton framework with the NVIDIA GPU architecture, specifically the 5090D model. We hope this article has been helpful in resolving any issues you may have encountered with Triton and the 5090D GPU architecture.