doc/source/convolution.ipynb,sha256=3n_LrCHVaSfrdFtJmV7HEl2jQbKMD32-24uv6_19Zbw,21072
doc/source/diffusion.ipynb,sha256=QplbRuhh3uK45kY5X5hufn535lW_7d0oqPAbCZJNSUU,248632
doc/source/diffusion_opencl.ipynb,sha256=m7qYcBVT5V13pTmYG_UMLCQlsPULSFExwlipwQ0dPHo,137909
doc/source/diffusion_use_optparam.ipynb,sha256=PJq-lu69VOMcVzDjjMYpGisGbrSFHKKvmDSvehzOnvo,128093
doc/source/grid3d.ipynb,sha256=QpEzcGPWJdIa62OugHkBl2-tijDqjFwZ75Q9v3isunk,21342
doc/source/matrix_multiplication.ipynb,sha256=qP_curqO-1FA6AojC12W6uQLocJy3NRVvxuWfeOKYfs,22883
kernel_tuner/__init__.py,sha256=DVpzhiGah748oV_WKH1Noal7PQmwocL2XKgtFOKlvvY,209
kernel_tuner/accuracy.py,sha256=BrBjd8i0ZQe-XPjaUFMY05RER9PG-4zwIIA_PyNYZlY,10468
kernel_tuner/backends/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
kernel_tuner/backends/backend.py,sha256=fr_stbfUcDGCLJ6oJgOi6xVYfnTNrptaFRcGxc7qxJQ,2704
kernel_tuner/backends/compiler.py,sha256=3_HHsOXEGz_PtcUd01WIDhL5mifBuX_mFJ-kBAAtPkw,13049
kernel_tuner/backends/cupy.py,sha256=8gQblguUC-8M4JlTA3NG9jzOu39gDyti62KTgVtRYQQ,9316
kernel_tuner/backends/hip.py,sha256=xU2TJrCF4YwPq7xdAxbefnUskwxonsJObL5OFuzytMo,12200
kernel_tuner/backends/nvcuda.py,sha256=d5q8ek7lPimwsMEk9DwQGwTfXnR59mf7xiSRhMrP7Gw,13391
kernel_tuner/backends/opencl.py,sha256=sdFB7upR1hN-4UFVlZsHhHVbLOxABDFl_DoBuVfS0c8,7865
kernel_tuner/backends/pycuda.py,sha256=HH_ux-DHsOJ1lUoCJ3OP0tQGA5wldutsgGhBMfOnp6U,15313
kernel_tuner/core.py,sha256=7FDhTN9W-hGsYQFB1xq8ktad88PnDiXN0xKjrhqqLkk,39796
kernel_tuner/energy/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
kernel_tuner/energy/energy.py,sha256=C7AcKw1-2EjxlLTivrZyTarQrBN5ITwE1-5tA931uI4,8115
kernel_tuner/file_utils.py,sha256=Sk_Lf7eqliZ9UNymnanaq2jpsBIqGyo2D5Bf5z8TPTU,9962
kernel_tuner/hyper.py,sha256=Wv3xfDHW0-tLyDMbfLXXaoganOpiYs0foJctVtUT5n0,3245
kernel_tuner/integration.py,sha256=ji5nHVqRmvnJ45-vK_OcaImUtp0sMqRMcS9eHJOs8-M,17441
kernel_tuner/interface.py,sha256=yMhtcFiDgLugMOWYzGkyHTxNxc_np7DrBJmJXjLnyiQ,31990
kernel_tuner/kernelbuilder.py,sha256=UPf8EImSti14Rk1iqDa_8Xop3zfpOJ1W7MA-Cpnny8A,4637
kernel_tuner/observers/__init__.py,sha256=ZKT-7DCNCTF5kOM42i7_PF4h8_gXIGcWbzXCRaPmBIo,95
kernel_tuner/observers/compiler.py,sha256=Hs8GMJh-94hpHjHGJiuP962ByTThNNw5IpJf4SdjIWk,622
kernel_tuner/observers/cupy.py,sha256=VDUSH98pdHYEJa3wT_1DFoveY_80Lun0NY5FQ3OQCjk,756
kernel_tuner/observers/hip.py,sha256=RvegCoBsQhZDF7pSp51RRrES-u-fsnb0HBqzjIkQ6Wo,1026
kernel_tuner/observers/nvcuda.py,sha256=a8ApLovrE66Wgo55urxE4TtWpy3M4K3HK4D27rGM_SQ,849
kernel_tuner/observers/nvml.py,sha256=OscH_7hxROPjZYIUp7Ls7-JiU2vwSBD9GFxDVoVvAE8,23257
kernel_tuner/observers/observer.py,sha256=Ufz5Kstat4oxizdG-uykQxbchFrBCA8Gry5HenUtfB8,1878
kernel_tuner/observers/opencl.py,sha256=0kSYhtG2meiuT5WEEbv1cARXLq5_93cPxT1KFDmWsg8,612
kernel_tuner/observers/pmt.py,sha256=vR--Bz23G1-C0WMkNk2MiOzUYUS-K3Rs-KZ2KrmRmTM,3173
kernel_tuner/observers/powersensor.py,sha256=Hzzb2R0poumrcFd7XwnzMQQa8sfJXPF--qa1ob_rrhc,2193
kernel_tuner/observers/pycuda.py,sha256=Hlaj5F6j1kWBlHk9kYkfSbfsawTW71-SfKElEXVGX9g,661
kernel_tuner/runners/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
kernel_tuner/runners/runner.py,sha256=z0YVzmYvlMRiMR3nD-pFWc6oevx1bVv1VLI4K0SpXRM,489
kernel_tuner/runners/sequential.py,sha256=5J_z5YoNwhky9j_X7rwTZ-yU68CdI6ujgSiQXyM6a4o,5277
kernel_tuner/runners/simulation.py,sha256=VLx_8bcYBOkASxnnl33VEwfF6wgDqoTGtcYmjHjZY8M,5535
kernel_tuner/schema/T4/1.0.0/metadata-schema.json,sha256=2W5EiJTVq76AmHu71DfuYg9rYfBqH-ycbif61RwdD5E,1494
kernel_tuner/schema/T4/1.0.0/results-schema.json,sha256=i9lvPLkWB6LHn2cVMiE4ZlN7chCNpqjZ2lQUTV5CgmM,2780
kernel_tuner/searchspace.py,sha256=qmvYZOumJgAd6ZS27MRWmquUomiKPjw62FqmN35w_f0,35649
kernel_tuner/strategies/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
kernel_tuner/strategies/basinhopping.py,sha256=LH6jie8NoE423NQ6rfNICpdo312P1LSvVXyU-OjXMYg,1697
kernel_tuner/strategies/bayes_opt.py,sha256=ubF9UjcTQscwymBJVIPBy8JrE7ukDYlUHCcfjM7QM5A,47842
kernel_tuner/strategies/brute_force.py,sha256=A_LOsmpcwHqQBoL1JUNcmKa5fEXuc5-3PYjkak1RMD8,405
kernel_tuner/strategies/common.py,sha256=fi_tFUKG-atNhc0YYdEZf3zg3XmEIjHzHKZDzxeSfow,9025
kernel_tuner/strategies/diff_evo.py,sha256=DB2rzacdh7NYFdOwXyUzVaibV1yGzaT4Ow3-9W4F9P0,1725
kernel_tuner/strategies/dual_annealing.py,sha256=QHjx4GvdxY8oRJsvFUFuaKdjDt92jQ74esM7mNnLexo,1511
kernel_tuner/strategies/firefly_algorithm.py,sha256=GEdCEjIU-zL8VYqSFcv4_4cYfOEaOTfHticlNzQBEqA,4536
kernel_tuner/strategies/genetic_algorithm.py,sha256=uS-5inK33q87P7gJuHzd10x3S6gJFkdKdN21u6wYlBg,6665
kernel_tuner/strategies/greedy_ils.py,sha256=aRfVEJHrNzp-6Wcz_0AnIp2pTs6rps6jOig8cRJPQqY,2792
kernel_tuner/strategies/greedy_mls.py,sha256=QazJRVbS2iCouFSm5jIN5FE4EXiGdCRIil9gn3v9Ixk,1805
kernel_tuner/strategies/hillclimbers.py,sha256=zSSDsKPsKbqoj4NNE7AR20OPMxoyiex-ut4D9hoTFHg,3622
kernel_tuner/strategies/minimize.py,sha256=f2LqjNvBT-lvuSFtbHLNXilD3Gh5eNzG5qWJxyB4x3Q,1419
kernel_tuner/strategies/mls.py,sha256=XXnZLnVudeprt5VYnMUmp-t32CO8ekN19jdjbmoRjlo,1270
kernel_tuner/strategies/ordered_greedy_mls.py,sha256=lKg-n7H-0dNuJIsZKo-5r3QDSXpF3xFZjQCoWWbNBr4,1271
kernel_tuner/strategies/pso.py,sha256=3tMQLbX934lh0AiQOJfuCpW1lpyJKHNJG1-u_XEtJvw,3765
kernel_tuner/strategies/random_sample.py,sha256=t_JuVDDI9CPyKx6pJ9eawaUQP09fUXEGuu693edIRC0,1201
kernel_tuner/strategies/simulated_annealing.py,sha256=SOykcC5xj4JwIFYam49kFwqI_3KRCxks7TiQLPQ9_WE,4310
kernel_tuner/util.py,sha256=OaHhUMqX7O78cKcbzqdXZRu4_S0EmSY5TzjVYZ0o8TM,51187
kernel_tuner/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
kernel_tuner/utils/directives.py,sha256=ZWhvPwT-HmXF6Up0Sgyfwi7W7_PuPlOTkHH9XUFdnfU,10310
kernel_tuner-1.0.0b4.dist-info/LICENSE,sha256=xllut76FgcGL5zbIRvuRc7aezPbvlMUTWJPsVr2Sugg,11358
kernel_tuner-1.0.0b4.dist-info/METADATA,sha256=C2g6f79qQmbKb_130jFzmJtL3YhxZO2hqKNWKJzOI0A,11807
kernel_tuner-1.0.0b4.dist-info/WHEEL,sha256=d2fvjOD7sXsVzChCqf0Ty0JbHKBaLYwDbGQDwQTnJ50,88
kernel_tuner-1.0.0b4.dist-info/RECORD,,
