Natalia Gimelshein ngimel
ngimel
/ dense_gelu.py
Created
August 1, 2022 05:43
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| import torch | |
| import math | |
| from torchinductor.compile_fx import compile_fx | |
| import torchdynamo | |
| import torchinductor | |
| torchinductor.config.debug=True | |
| torchinductor.config.triton.cudagraphs=False | |
| def _gelu_python(x): |
ngimel
/ mul_sum_triton.py
Created
May 1, 2022 18:50
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| import torch | |
| import triton | |
| import triton.language as tl | |
| #@triton.jit | |
| def mul_sum_kernel( | |
| output_ptr, input_ptr0, input_ptr1, | |
| si00, si01, si02, si03, |
ngimel
/ triton_transpose.py
Created
April 20, 2022 23:41
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| import torch | |
| import triton | |
| import triton.language as tl | |
| from itertools import product | |
| @triton.jit | |
| def copy_kernel( | |
| output_ptr, input_ptr, |
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| python perf_lab_bcast.py --dtype_str double --op_str torch.eq | |
| python perf_lab_bcast.py --dtype_str float --op_str torch.eq | |
| python perf_lab_bcast.py --dtype_str half --op_str torch.eq | |
| python perf_lab_bcast.py --dtype_str int --op_str torch.eq | |
| python perf_lab_bcast.py --dtype_str uint8 --op_str torch.eq | |
| python perf_lab_bcast.py --dtype_str double --op_str torch.add | |
| python perf_lab_bcast.py --dtype_str float --op_str torch.add | |
| python perf_lab_bcast.py --dtype_str half --op_str torch.add | |
| python perf_lab_bcast.py --dtype_str int --op_str torch.add | |
| python perf_lab_bcast.py --dtype_str uint8 --op_str torch.add |
ngimel
/ topk results (D1, D2, k)
Created
January 18, 2022 03:36
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| [--------------------- topK ---------------------] | |
| | topk_new | topk_old | |
| 1 threads: --------------------------------------- | |
| 10, 2048, 100 | 21.2 | 19.1 | |
| 10, 2048, 1000 | 20.9 | 18.1 | |
| 10, 2048, 2000 | 23.0 | 19.9 | |
| 10, 2048, 2048 | 19.2 | 17.1 | |
| 10, 4096, 100 | 30.8 | 28.6 | |
| 10, 4096, 1000 | 30.7 | 28.3 | |
| 10, 4096, 2000 | 31.2 | 28.6 |
ngimel
/ .ltrace.conf
Last active
December 26, 2019 22:27
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| int cublasSgemm_v2(addr, int, int, int, int, int, float*, addr, int, addr, int, float*, addr, int); | |
| int cublasGemmEx(addr, int, int, int, int, int, float*, addr, int, int, addr, int, int, float*, addr, int, int, int, int); | |
| int cublasGemmBatchedEx(addr, int, int, int, int, int, float*, addr, int, int, addr, int, int, float*, addr, int, int, int, int, int); | |
| int cublasSgemmStridedBatched(addr, int, int, int, int, int, float*, addr, int, int, addr, int, int, float*, addr, int, int, int); | |
| int cublasGemmStridedBatchedEx(addr, int, int, int, int, int, float*, addr, int, int, int, addr, int, int, int, float*, addr, int, int, int, int, int, int); | |
ngimel
/ norm_bench.py
Created
December 20, 2019 01:08
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| import torch | |
| import time | |
| nlayers = 10 | |
| params = [] | |
| size = 1024 | |
| for _ in range(nlayers): | |
| params.append(torch.randn(size, device="cuda", requires_grad=True)) | |
| params.append(torch.randn((size, size), device="cuda", requires_grad=True)) |
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| Thread 1 "python" hit Breakpoint 4, 0x00007ffff57a8fc0 in cudaGetDevice () | |
| from /usr/local/cuda/lib64/libcudart.so.8.0 | |
| (gdb) bt | |
| #0 0x00007ffff57a8fc0 in cudaGetDevice () from /usr/local/cuda/lib64/libcudart.so.8.0 | |
| #1 0x00007ffff646fc25 in AutoGPU::setDevice (device=<optimized out>, this=0x7fffffffd280) | |
| at /tmp/pip-yqg9zt2i-build/torch/csrc/utils/auto_gpu.h:32 | |
| #2 AutoGPU::AutoGPU (device=<optimized out>, this=0x7fffffffd280) | |
| at /tmp/pip-yqg9zt2i-build/torch/csrc/utils/auto_gpu.h:15 | |
| #3 THCPAutoGPU::THCPAutoGPU (this=0x7fffffffd280, args=0x7ffff7e07048, self=<optimized out>) | |
| at torch/csrc/cuda/AutoGPU.cpp:65 |