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gha-aws-graviton:
version=0.3.28.66 - OpenBLAS 0.3.28.dev DYNAMIC_ARCH NO_AFFINITY neoversev1 MAX_THREADS=64
gha-aws-skylake:
version=0.3.28.66 - OpenBLAS 0.3.28.dev DYNAMIC_ARCH NO_AFFINITY SkylakeX MAX_THREADS=64
gha-ubuntu-noble:
version=0.3.28.66 - OpenBLAS 0.3.28.dev DYNAMIC_ARCH NO_AFFINITY Haswell MAX_THREADS=64
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OB benchmark bot committed Oct 3, 2024
1 parent 1eb67b0 commit ab6851d
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320 changes: 320 additions & 0 deletions results/benchmarks.json
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{
"benchmarks.Nrm2.time_nrm2": {
"code": "class Nrm2:\n def time_nrm2(self, n, variant):\n run_nrm2(n, self.x, 1, self.nrm2)\n\n def setup(self, n, variant):\n rndm = np.random.RandomState(1234)\n dtyp = dtype_map[variant]\n \n self.x = rndm.uniform(size=(n,)).astype(dtyp)\n self.nrm2 = ow.get_func('nrm2', variant)",
"min_run_count": 2,
"name": "benchmarks.Nrm2.time_nrm2",
"number": 0,
"param_names": [
"size",
"variant"
],
"params": [
[
"100",
"200",
"400",
"600",
"800",
"1000"
],
[
"'d'",
"'dz'"
]
],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"type": "time",
"unit": "seconds",
"version": "243b9089fb28b3879e81458c34827d0bcfc02ed39e837fe50102a3a5cb98332c",
"warmup_time": -1
},
"benchmarks.axpy.time_axpy": {
"code": "class axpy:\n def time_axpy(self, n, variant):\n run_axpy(self.x, self.y, self.axpy)\n\n def setup(self, n, variant):\n rndm = np.random.RandomState(1234)\n dtyp = dtype_map[variant]\n \n self.x = np.array(rndm.uniform(size=(n,)), dtype=dtyp)\n self.y = np.array(rndm.uniform(size=(n,)), dtype=dtyp)\n self.axpy = ow.get_func('axpy', variant)",
"min_run_count": 2,
"name": "benchmarks.axpy.time_axpy",
"number": 0,
"param_names": [
"size",
"variant"
],
"params": [
[
"100",
"200",
"400",
"600",
"800",
"1000"
],
[
"'s'",
"'d'",
"'c'",
"'z'"
]
],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"type": "time",
"unit": "seconds",
"version": "ea35623f6e6020020e55d1d167120ea3da5cb229fd50a67717c3fd0a49f56181",
"warmup_time": -1
},
"benchmarks.dot.time_dot": {
"code": "class dot:\n def time_dot(self, n):\n run_dot(self.x, self.y, self.func)\n\n def setup(self, n):\n rndm = np.random.RandomState(1234)\n dtyp = float\n \n self.x = np.array(rndm.uniform(size=(n,)), dtype=dtyp)\n self.y = np.array(rndm.uniform(size=(n,)), dtype=dtyp)\n self.func = ow.get_func('dot', 'd')",
"min_run_count": 2,
"name": "benchmarks.dot.time_dot",
"number": 0,
"param_names": [
"size"
],
"params": [
[
"100",
"200",
"400",
"600",
"800",
"1000"
]
],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"type": "time",
"unit": "seconds",
"version": "31489ecfdd637688ae8fac6bf6bea48e605d3d104fbf4bd17f477427974599d2",
"warmup_time": -1
},
"benchmarks.gbmv.time_gbmv": {
"code": "class gbmv:\n def time_gbmv(self, n, variant, kl):\n run_gbmv(self.m, n, kl, kl, self.a, self.x, self.y, self.gbmv)\n\n def setup(self, n, variant, kl):\n rndm = np.random.RandomState(1234)\n dtyp = dtype_map[variant]\n \n self.x = np.array(rndm.uniform(size=(n,)), dtype=dtyp)\n self.y = np.empty(n, dtype=dtyp)\n \n self.m = n\n \n a = rndm.uniform(size=(2*kl + 1, n))\n self.a = np.array(a, dtype=dtyp, order='F')\n \n self.gbmv = ow.get_func('gbmv', variant)",
"min_run_count": 2,
"name": "benchmarks.gbmv.time_gbmv",
"number": 0,
"param_names": [
"size",
"variant",
"kl"
],
"params": [
[
"100",
"200",
"400",
"600",
"800",
"1000"
],
[
"'s'",
"'d'",
"'c'",
"'z'"
],
[
"1",
"2",
"3"
]
],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"type": "time",
"unit": "seconds",
"version": "294a051064b18ef64ef4ef3cdd3aee1c99e2ab93eeaa44ef95ecea54e399c89b",
"warmup_time": -1
},
"benchmarks.gemm.time_gemm": {
"code": "class gemm:\n def time_gemm(self, n, variant):\n run_gemm(self.a, self.b, self.c, self.func)\n\n def setup(self, n, variant):\n rndm = np.random.RandomState(1234)\n dtyp = dtype_map[variant]\n \n self.a = np.array(rndm.uniform(size=(n, n)), dtype=dtyp, order='F')\n self.b = np.array(rndm.uniform(size=(n, n)), dtype=dtyp, order='F')\n self.c = np.empty((n, n), dtype=dtyp, order='F')\n self.func = ow.get_func('gemm', variant)",
"min_run_count": 2,
"name": "benchmarks.gemm.time_gemm",
"number": 0,
"param_names": [
"size",
"variant"
],
"params": [
[
"100",
"200",
"400",
"600",
"800",
"1000"
],
[
"'s'",
"'d'",
"'c'",
"'z'"
]
],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"type": "time",
"unit": "seconds",
"version": "eb657532f52df20bb51d8aadf0771b04de52fa665f6138f9b704465adc185477",
"warmup_time": -1
},
"benchmarks.gemv.time_gemv": {
"code": "class gemv:\n def time_gemv(self, n, variant):\n run_gemv(self.a, self.x, self.y, self.gemv)\n\n def setup(self, n, variant):\n rndm = np.random.RandomState(1234)\n dtyp = dtype_map[variant]\n \n self.a = np.array(rndm.uniform(size=(n,n)), dtype=dtyp)\n self.x = np.array(rndm.uniform(size=(n,)), dtype=dtyp)\n self.y = np.zeros(n, dtype=dtyp)\n \n self.gemv = ow.get_func('gemv', variant)",
"min_run_count": 2,
"name": "benchmarks.gemv.time_gemv",
"number": 0,
"param_names": [
"size",
"variant"
],
"params": [
[
"100",
"200",
"400",
"600",
"800",
"1000"
],
[
"'s'",
"'d'",
"'c'",
"'z'"
]
],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"type": "time",
"unit": "seconds",
"version": "ffcdac2e33a88dd7abd03d71aee17edca3d775daee01c8a5ebc4b804c76702a7",
"warmup_time": -1
},
"benchmarks.gesdd.time_gesdd": {
"code": "class gesdd:\n def time_gesdd(self, mn, variant):\n run_gesdd(self.a, self.lwork, self.func)\n\n def setup(self, mn, variant):\n m, n = (int(x) for x in mn.split(\",\"))\n \n rndm = np.random.RandomState(1234)\n dtyp = dtype_map[variant]\n \n a = np.array(rndm.uniform(size=(m, n)), dtype=dtyp, order='F')\n \n gesdd_lwork = ow.get_func('gesdd_lwork', variant)\n \n lwork, info = gesdd_lwork(m, n)\n lwork = int(lwork)\n assert info == 0\n \n self.a, self.lwork = a, lwork\n self.func = ow.get_func('gesdd', variant)",
"min_run_count": 2,
"name": "benchmarks.gesdd.time_gesdd",
"number": 0,
"param_names": [
"(m, n)",
"variant"
],
"params": [
[
"'100, 5'",
"'1000, 222'"
],
[
"'s'",
"'d'"
]
],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"type": "time",
"unit": "seconds",
"version": "4f51eefb48a23ae52447799db20d313d35ed043d3ccc6f4311a4c7df0c93f30d",
"warmup_time": -1
},
"benchmarks.gesv.time_gesv": {
"code": "class gesv:\n def time_gesv(self, n, variant):\n run_gesv(self.a, self.b, self.func)\n\n def setup(self, n, variant):\n rndm = np.random.RandomState(1234)\n dtyp = dtype_map[variant]\n \n self.a = (np.array(rndm.uniform(size=(n, n)), dtype=dtyp, order='F') +\n np.eye(n, dtype=dtyp, order='F'))\n self.b = np.array(rndm.uniform(size=(n, 1)), dtype=dtyp, order='F')\n self.func = ow.get_func('gesv', variant)",
"min_run_count": 2,
"name": "benchmarks.gesv.time_gesv",
"number": 0,
"param_names": [
"size",
"variant"
],
"params": [
[
"100",
"200",
"400",
"600",
"800",
"1000"
],
[
"'s'",
"'d'",
"'c'",
"'z'"
]
],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"type": "time",
"unit": "seconds",
"version": "056395e31934bb4c5f3fd4f420db2ee69cb584dd5a954e903d17d80a9d91c773",
"warmup_time": -1
},
"benchmarks.syev.time_syev": {
"code": "class syev:\n def time_syev(self, n, variant):\n run_syev(self.a, self.lwork, self.func)\n\n def setup(self, n, variant):\n rndm = np.random.RandomState(1234)\n dtyp = dtype_map[variant]\n \n a = rndm.uniform(size=(n, n))\n a = np.asarray(a + a.T, dtype=dtyp, order='F')\n a_ = a.copy()\n \n syev_lwork = ow.get_func('syev_lwork', variant)\n lwork, info = syev_lwork(n)\n lwork = int(lwork)\n assert info == 0\n \n self.a = a_\n self.lwork = lwork\n self.func = ow.get_func('syev', variant)",
"min_run_count": 2,
"name": "benchmarks.syev.time_syev",
"number": 0,
"param_names": [
"size",
"variant"
],
"params": [
[
"50",
"64",
"128",
"200"
],
[
"'s'",
"'d'"
]
],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"type": "time",
"unit": "seconds",
"version": "6a6a9e92a1a1515075bcc66ab4604c5bbdd1053f83badd67ce30f4d9705edbc6",
"warmup_time": -1
},
"benchmarks.syrk.time_syrk": {
"code": "class syrk:\n def time_syrk(self, n, variant):\n run_syrk(self.a, self.c, self.func)\n\n def setup(self, n, variant):\n rndm = np.random.RandomState(1234)\n dtyp = dtype_map[variant]\n \n self.a = np.array(rndm.uniform(size=(n, n)), dtype=dtyp, order='F')\n self.c = np.empty((n, n), dtype=dtyp, order='F')\n self.func = ow.get_func('syrk', variant)",
"min_run_count": 2,
"name": "benchmarks.syrk.time_syrk",
"number": 0,
"param_names": [
"size",
"variant"
],
"params": [
[
"100",
"200",
"400",
"600",
"800",
"1000"
],
[
"'s'",
"'d'",
"'c'",
"'z'"
]
],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"type": "time",
"unit": "seconds",
"version": "c41c46159452b98d6888b3d7c93d56f802365f947186dd6593345ace043c916d",
"warmup_time": -1
},
"version": 2
}
1 change: 1 addition & 0 deletions results/gha-aws-graviton/00bc05f1-virtualenv-py3.12.json
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1 change: 1 addition & 0 deletions results/gha-aws-graviton/03433efb-virtualenv-py3.12.json
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