PyCUTLASS enables one to declare, compile, and run GEMMs, convolutions, and grouped GEMM operators with nearly the same configuration space as CUTLASS's C++ interface. While this flexibility enables one to achieve the similar levels of functionality as available in CUTLASS's C++ interface, it ...
git clone --recursive git@github.com:deepseek-ai/DeepGEMM.git # Make symbolic links for third-party (CUTLASS and CuTe) include directories python setup.py develop # Test JIT compilation python tests/test_jit.py # Test all GEMM implements (normal, contiguous-grouped and masked-grouped) python...
The functionality of CUTLASS has also been extended to include grouped and depthwise separable convolution, fused kernels for layernorm and multihead attention, and optimizations to grouped GEMM. Additionally, CUTLASS 2.11 takes advantage of new features on NVIDIA's Hopper architecture, including 2x ...
8]), :] # Plot gridobj = sns.lmplot( x="displ", y="hwy", hue="cyl", data=df_select, height=7, aspect=1.6, #robust=True, palette='Set1', scatter_kws=dict(s=60, linewidths=.7, edgecolors='black')) # Decorations sns.set(style="...
groupby(iterable[, keyfunc]) --> sub-iterators grouped by value of keyfunc(v) imap(fun, p, q, ...) --> fun(p0, q0), fun(p1, q1), ... ifilter(pred, seq) --> elements of seq where pred(elem) is True 1)count生成序列迭代器 >>> from itertools import * # 导入所有方法 ...
MMHA optimization for MQA and GQALoRA optimization: cutlass grouped gemmOptimize Hopper warp specialized kernelsOptimize AllReduce for parallel attention on Falcon and GPT-JEnable split-k for weight-only cutlass kernel when SM>=75Documentation Add documentation for new builder workflow For...
#新增一个平均值,即所有非空df3['平均月薪']的平均值 s3 = pd.Series(data = {'平均值':df3['平均月薪'].mean()}) result3 = grouped3.mean().append(s3) #sort_values()方法可以对值进行排序,默认按照升序,round(1)表示小数点后保留1位小数。 result3.sort_values(ascending=False).round(1) 3...
运行Python程序时,先编译成字节码并保存到内存中,当程序运行结束后,Python解释器将内存中字节码对象写到.pyc文件中。 第二次再运行此程序时,先回从硬盘中寻找.pyc文件,如果找到,则直接载入,否则就重复上面的过程。 这样好处是,不重复编译,提供执行效率。
Python’s interfaces for processing XML are grouped in the xml package. 带分隔符的文件仅有两维的数据:行和列。如果你想在程序之间交换数据结构,需要一种方法把层次结构、序列、集合和其他的结构编码成文本 XML是最突出的处理这种转换的标记(markup)格式,它使用标签(tag)分个数据,如下面的实例文件menu.xml所...
+2 −2 examples/57_hopper_grouped_gemm/CMakeLists.txt +2 −2 include/cute/arch/copy_sm80.hpp +177 −0 include/cute/atom/mma_atom.hpp +14 −0 include/cute/util/type_traits.hpp +1 −1 include/cutlass/barrier.h +17 −16 include/cutlass/epilogue/collective/builders/sm...