WIP Adding machine/device info and caching strategies
This commit is contained in:
@@ -5,13 +5,44 @@
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"execution_count": 1,
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"id": "20768e45-df62-4638-ba33-b0ccf239f1aa",
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"┌ Error: Failed to initialize oneAPI\n",
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"│ exception = (oneAPI.oneL0.ZeError(oneAPI.oneL0.ZE_RESULT_ERROR_UNINITIALIZED), Union{Ptr{Nothing}, Base.InterpreterIP}[Ptr{Nothing} @0x00007f1860405f02, Ptr{Nothing} @0x00007f18604068dc, Ptr{Nothing} @0x00007f1860406900, Ptr{Nothing} @0x00007f1967e42f4d, Ptr{Nothing} @0x00007f1967e7a7a4, Ptr{Nothing} @0x00007f1967e5e3bc, Ptr{Nothing} @0x00007f1953cecc65, Ptr{Nothing} @0x00007f19480c5c72, Ptr{Nothing} @0x00007f19480cb52c, Ptr{Nothing} @0x00007f19480c79a6, Ptr{Nothing} @0x00007f19480f67de, Ptr{Nothing} @0x00007f19480f6b4d, Ptr{Nothing} @0x00007f19480d2439, Ptr{Nothing} @0x00007f19480d40e4, Ptr{Nothing} @0x00007f19480d4286, Ptr{Nothing} @0x00007f19480d0c2a, Ptr{Nothing} @0x00007f19480d1216, Ptr{Nothing} @0x00007f1967e42f4d, Ptr{Nothing} @0x00007f1967e7a338, Ptr{Nothing} @0x00007f1967e7c0e8, Ptr{Nothing} @0x00007f1967e7ba79, Ptr{Nothing} @0x00007f1967e7cdfa, Ptr{Nothing} @0x00007f19480f31ff, Ptr{Nothing} @0x00007f1967e42f4d, Ptr{Nothing} @0x00007f1967e51f48, Ptr{Nothing} @0x00007f19480f1eb9, Ptr{Nothing} @0x00007f19480f2c78, Ptr{Nothing} @0x00007f19480f2f21, Ptr{Nothing} @0x00007f19480f2f56, Ptr{Nothing} @0x00007f1967e42f4d, Ptr{Nothing} @0x00007f19480e8bb1, Ptr{Nothing} @0x00007f1967e42f4d, Ptr{Nothing} @0x00007f19480ddd7c, Ptr{Nothing} @0x00007f19480dde82, Ptr{Nothing} @0x00007f19480ddead, Ptr{Nothing} @0x00007f1967e42f4d, Ptr{Nothing} @0x00007f19480d5001, Ptr{Nothing} @0x00007f1967e7b5db, Ptr{Nothing} @0x00007f1967e7ba79, Ptr{Nothing} @0x00007f1967e7cdfa, Ptr{Nothing} @0x00007f1953d26667, Ptr{Nothing} @0x00007f1967e42f4d, Ptr{Nothing} @0x00007f1953b5abfd, Ptr{Nothing} @0x00007f19533d6e93, Ptr{Nothing} @0x00007f19533d6eaf, Ptr{Nothing} @0x00007f1967e42f4d, Ptr{Nothing} @0x00007f1953d5c06e, Ptr{Nothing} @0x00007f1953786d4f, Ptr{Nothing} @0x00007f1953786e58, Ptr{Nothing} @0x00007f1967e42f4d, Ptr{Nothing} @0x00007f1967ea7a15, Ptr{Nothing} @0x00007f1967ea845e, Ptr{Nothing} @0x0000000000401088, Ptr{Nothing} @0x00007f1968c27ccf, Ptr{Nothing} @0x00007f1968c27d89, Ptr{Nothing} @0x00000000004010b8])\n",
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"└ @ oneAPI.oneL0 /home/antonr/.julia/packages/oneAPI/g8ZUm/lib/level-zero/oneL0.jl:103\n"
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]
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}
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],
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"source": [
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"using Revise\n",
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"using MetagraphOptimization\n",
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"using BenchmarkTools"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "ff5f4a49",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Machine(MetagraphOptimization.AbstractDevice[MetagraphOptimization.NumaNode(0x0000, 0x0001, -1.0)], [-1.0;;])"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"# Get our machine's info\n",
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"machine = get_machine_info()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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@@ -24,9 +55,8 @@
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"ABCModel()"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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"output_type": "display_data"
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}
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],
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"source": [
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@@ -46,9 +76,8 @@
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"ABC Process: 'AB->ABBB'"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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"output_type": "display_data"
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}
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],
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"source": [
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@@ -59,17 +88,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 7,
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"id": "043bd9e2-f89a-4362-885a-8c89d4cdd76f",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Total: 280, ComputeTaskS2"
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]
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},
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{
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"data": {
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"text/plain": [
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@@ -81,17 +103,16 @@
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" Total Compute Intensity: 0.09822733918128655\n"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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"output_type": "display_data"
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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": 24, DataTask: 143, \n",
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" ComputeTaskU: 6, ComputeTaskSum: 1, ComputeTaskS1: 36, \n",
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" ComputeTaskV: 64, ComputeTaskP: 6"
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"Total: 280, DataTask: 143, ComputeTaskV: 64, \n",
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" ComputeTaskS2: 24, ComputeTaskS1: 36, ComputeTaskP: 6, \n",
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" ComputeTaskSum: 1, ComputeTaskU: 6"
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]
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}
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],
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@@ -102,7 +123,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 8,
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"id": "02f01ad3-fd10-48d5-a0e0-c03dc83c80a4",
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"metadata": {},
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"outputs": [
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@@ -110,19 +131,18 @@
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"data": {
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"text/plain": [
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"Input for ABC Process: 'AB->ABBB':\n",
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" Input particles:\n",
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" A: [5.77986599979293, 0.0, 0.0, 5.692701553354288]\n",
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" B: [5.77986599979293, 0.0, 0.0, -5.692701553354288]\n",
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" Output Particles:\n",
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" A: [-3.8835293143673746, -1.4292027910861678, 2.8576090179942106, 1.968057422378813]\n",
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" B: [-1.1554024905063585, -0.1464656500147254, -0.2082400426692148, 0.5197487980391896]\n",
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" B: [-2.849749730594798, -1.0177034035100576, -2.464951858896686, -0.09677625137882176]\n",
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" B: [-3.6710504641173287, 2.5933718446109513, -0.1844171164283155, -2.391029969039186]\n"
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" 2 Incoming particles:\n",
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" B: [3.6884461652243594, 0.0, 0.0, 3.5503007075117288]\n",
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" A: [3.6884461652243594, 0.0, 0.0, -3.5503007075117288]\n",
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" 4 Outgoing Particles:\n",
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" B: [-2.1242475430909664, -0.8503576743556215, -0.7677870655372816, 1.4831798515305399]\n",
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" B: [-1.7067195416668486, 1.3493031523092422, -0.2241887179000338, 0.20496832887590027]\n",
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" B: [-2.276483767911827, 0.19358394881362065, 1.325763825770123, -1.5450740689711668]\n",
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" A: [-1.2694414777790763, -0.6925294267672414, -0.3337880423328074, -0.14307411143527338]\n"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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"output_type": "display_data"
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}
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],
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"source": [
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@@ -132,41 +152,39 @@
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 9,
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"id": "083fb1be-ce2a-47f9-afb9-60a6fdfaed0b",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"compute_2f2a5dca_5e3a_11ee_3973_bfa5c42acee3 (generic function with 1 method)"
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"compute_2430665c_5ee0_11ee_1bd6_cf00927a1f40 (generic function with 1 method)"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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"output_type": "display_data"
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}
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],
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"source": [
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"# Get the function computing the result of the process from a ProcessInput\n",
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"AB_AB3_compute = get_compute_function(graph, process)"
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"AB_AB3_compute = get_compute_function(graph, process, machine)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 10,
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"id": "a40c9500-8f79-4f04-b3c5-59b72a6b7ba9",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"-1.8924431710735022e-13"
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"-1.0304553507713216e-11"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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"output_type": "display_data"
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}
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],
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"source": [
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@@ -176,7 +194,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 11,
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"id": "80c70010",
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"metadata": {},
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"outputs": [],
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@@ -189,18 +207,18 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 13,
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"id": "5b192b44",
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"metadata": {},
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"outputs": [],
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"source": [
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"# The result should be the same as before (we can use execute to save having to generate the function ourselves)\n",
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"@assert result ≈ execute(graph, process, input_data)"
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"@assert result ≈ execute(graph, process, machine, input_data)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 15,
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"id": "9b2f4a3f",
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"metadata": {},
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"outputs": [
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@@ -208,71 +226,63 @@
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"data": {
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"text/plain": [
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"1000-element Vector{Float64}:\n",
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" -2.1491995259940396e-11\n",
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" -1.04995646459455e-11\n",
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" 5.8217606911879465e-15\n",
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" -6.556969485683647e-14\n",
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" -1.3588086164373804e-14\n",
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" -1.8789662441593714e-13\n",
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" -2.1319733018358848e-13\n",
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" -5.335975907200479e-12\n",
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" -9.053914191490206e-13\n",
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" -5.611079017069238e-13\n",
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" -5.063492275603427e-11\n",
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" 2.9168508985810955e-15\n",
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" -1.6420151378194154e-13\n",
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" -2.1503212387420805e-13\n",
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" -3.515624153345333e-15\n",
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" -9.952937612602425e-14\n",
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" -9.153444987973305e-14\n",
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" -9.219799628850346e-12\n",
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" -1.0155811880772751e-13\n",
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" -2.278823085449527e-13\n",
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" -8.070463578419918e-14\n",
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" -1.838772437827446e-13\n",
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" -4.109239393253953e-12\n",
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" ⋮\n",
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" 1.0931677247833414e-13\n",
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" -7.704755306464438e-16\n",
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" -1.8385907037491413e-12\n",
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" -6.036215596560112e-14\n",
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" -9.988724014003618e-12\n",
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" 3.4861755637292744e-13\n",
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" -1.1051119822969222e-10\n",
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" -2.4965725132161986e-12\n",
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" -3.868242784720193e-11\n",
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" 7.904149696653533e-15\n",
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" -7.606811743178718e-11\n",
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" -5.100594937480289e-13"
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" -9.249672758783865e-13\n",
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" -1.1230011623854415e-11\n",
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" 3.0412717788587913e-12\n",
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" -7.618572966754196e-12\n",
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" -1.771698295445229e-14\n",
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" -3.128112746753292e-11\n",
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" -3.9791519593567145e-12\n",
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" -4.4850922847751944e-15\n",
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" 1.0995512644879932e-14"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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"output_type": "display_data"
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}
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],
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"source": [
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"# Now we can generate a function and use it on lots of inputs\n",
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"inputs = [gen_process_input(process) for _ in 1:1000]\n",
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"AB_AB3_reduced_compute = get_compute_function(graph, process)\n",
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"AB_AB3_reduced_compute = get_compute_function(graph, process, machine)\n",
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"\n",
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"results = AB_AB3_reduced_compute.(inputs)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 16,
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"id": "d43e4ff0",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"BenchmarkTools.Trial: 1453 samples with 1 evaluation.\n",
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" Range \u001b[90m(\u001b[39m\u001b[36m\u001b[1mmin\u001b[22m\u001b[39m … \u001b[35mmax\u001b[39m\u001b[90m): \u001b[39m\u001b[36m\u001b[1m2.596 ms\u001b[22m\u001b[39m … \u001b[35m6.983 ms\u001b[39m \u001b[90m┊\u001b[39m GC \u001b[90m(\u001b[39mmin … max\u001b[90m): \u001b[39m0.00% … 27.07%\n",
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" Time \u001b[90m(\u001b[39m\u001b[34m\u001b[1mmedian\u001b[22m\u001b[39m\u001b[90m): \u001b[39m\u001b[34m\u001b[1m2.715 ms \u001b[22m\u001b[39m\u001b[90m┊\u001b[39m GC \u001b[90m(\u001b[39mmedian\u001b[90m): \u001b[39m0.00%\n",
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" Time \u001b[90m(\u001b[39m\u001b[32m\u001b[1mmean\u001b[22m\u001b[39m ± \u001b[32mσ\u001b[39m\u001b[90m): \u001b[39m\u001b[32m\u001b[1m3.443 ms\u001b[22m\u001b[39m ± \u001b[32m1.068 ms\u001b[39m \u001b[90m┊\u001b[39m GC \u001b[90m(\u001b[39mmean ± σ\u001b[90m): \u001b[39m4.39% ± 8.86%\n",
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"BenchmarkTools.Trial: 1366 samples with 1 evaluation.\n",
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" Range \u001b[90m(\u001b[39m\u001b[36m\u001b[1mmin\u001b[22m\u001b[39m … \u001b[35mmax\u001b[39m\u001b[90m): \u001b[39m\u001b[36m\u001b[1m2.671 ms\u001b[22m\u001b[39m … \u001b[35m9.612 ms\u001b[39m \u001b[90m┊\u001b[39m GC \u001b[90m(\u001b[39mmin … max\u001b[90m): \u001b[39m 0.00% … 44.01%\n",
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" Time \u001b[90m(\u001b[39m\u001b[34m\u001b[1mmedian\u001b[22m\u001b[39m\u001b[90m): \u001b[39m\u001b[34m\u001b[1m3.007 ms \u001b[22m\u001b[39m\u001b[90m┊\u001b[39m GC \u001b[90m(\u001b[39mmedian\u001b[90m): \u001b[39m 0.00%\n",
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" Time \u001b[90m(\u001b[39m\u001b[32m\u001b[1mmean\u001b[22m\u001b[39m ± \u001b[32mσ\u001b[39m\u001b[90m): \u001b[39m\u001b[32m\u001b[1m3.654 ms\u001b[22m\u001b[39m ± \u001b[32m1.320 ms\u001b[39m \u001b[90m┊\u001b[39m GC \u001b[90m(\u001b[39mmean ± σ\u001b[90m): \u001b[39m11.60% ± 16.57%\n",
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"\n",
|
||||
" \u001b[39m▇\u001b[39m█\u001b[34m▃\u001b[39m\u001b[39m▁\u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[32m \u001b[39m\u001b[39m▂\u001b[39m▃\u001b[39m▁\u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m▁\u001b[39m▁\u001b[39m▃\u001b[39m▂\u001b[39m▃\u001b[39m▂\u001b[39m▁\u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \n",
|
||||
" \u001b[39m█\u001b[39m█\u001b[34m█\u001b[39m\u001b[39m█\u001b[39m▇\u001b[39m▇\u001b[39m▆\u001b[39m▆\u001b[39m▆\u001b[39m▆\u001b[39m▅\u001b[39m▆\u001b[39m▇\u001b[32m█\u001b[39m\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m▇\u001b[39m▆\u001b[39m▇\u001b[39m█\u001b[39m▇\u001b[39m▅\u001b[39m▇\u001b[39m▆\u001b[39m▇\u001b[39m▆\u001b[39m▅\u001b[39m▇\u001b[39m▆\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m▅\u001b[39m▄\u001b[39m▄\u001b[39m▄\u001b[39m▁\u001b[39m▄\u001b[39m▁\u001b[39m▄\u001b[39m▄\u001b[39m▄\u001b[39m▄\u001b[39m▄\u001b[39m▅\u001b[39m▆\u001b[39m▆\u001b[39m▆\u001b[39m \u001b[39m█\n",
|
||||
" 2.6 ms\u001b[90m \u001b[39m\u001b[90mHistogram: \u001b[39m\u001b[90m\u001b[1mlog(\u001b[22m\u001b[39m\u001b[90mfrequency\u001b[39m\u001b[90m\u001b[1m)\u001b[22m\u001b[39m\u001b[90m by time\u001b[39m 6.44 ms \u001b[0m\u001b[1m<\u001b[22m\n",
|
||||
" \u001b[39m▅\u001b[39m█\u001b[39m█\u001b[34m█\u001b[39m\u001b[39m▆\u001b[39m▄\u001b[39m▃\u001b[39m▁\u001b[39m \u001b[39m \u001b[32m \u001b[39m\u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m▁\u001b[39m \u001b[39m▁\u001b[39m \u001b[39m▁\u001b[39m▂\u001b[39m▂\u001b[39m▂\u001b[39m▁\u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m▁\n",
|
||||
" \u001b[39m█\u001b[39m█\u001b[39m█\u001b[34m█\u001b[39m\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m▇\u001b[32m▇\u001b[39m\u001b[39m█\u001b[39m▇\u001b[39m▆\u001b[39m▇\u001b[39m▇\u001b[39m█\u001b[39m▇\u001b[39m▇\u001b[39m▆\u001b[39m▇\u001b[39m▇\u001b[39m█\u001b[39m█\u001b[39m▇\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m▇\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m▆\u001b[39m▆\u001b[39m▄\u001b[39m▄\u001b[39m▅\u001b[39m▄\u001b[39m▁\u001b[39m▅\u001b[39m▆\u001b[39m▄\u001b[39m▆\u001b[39m▅\u001b[39m▄\u001b[39m▄\u001b[39m▄\u001b[39m▅\u001b[39m \u001b[39m█\n",
|
||||
" 2.67 ms\u001b[90m \u001b[39m\u001b[90mHistogram: \u001b[39m\u001b[90m\u001b[1mlog(\u001b[22m\u001b[39m\u001b[90mfrequency\u001b[39m\u001b[90m\u001b[1m)\u001b[22m\u001b[39m\u001b[90m by time\u001b[39m 8.27 ms \u001b[0m\u001b[1m<\u001b[22m\n",
|
||||
"\n",
|
||||
" Memory estimate\u001b[90m: \u001b[39m\u001b[33m6.17 MiB\u001b[39m, allocs estimate\u001b[90m: \u001b[39m\u001b[33m143004\u001b[39m."
|
||||
]
|
||||
},
|
||||
"execution_count": 11,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
@@ -281,28 +291,27 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"execution_count": 17,
|
||||
"id": "e18d9546",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"BenchmarkTools.Trial: 1890 samples with 1 evaluation.\n",
|
||||
" Range \u001b[90m(\u001b[39m\u001b[36m\u001b[1mmin\u001b[22m\u001b[39m … \u001b[35mmax\u001b[39m\u001b[90m): \u001b[39m\u001b[36m\u001b[1m2.007 ms\u001b[22m\u001b[39m … \u001b[35m 5.588 ms\u001b[39m \u001b[90m┊\u001b[39m GC \u001b[90m(\u001b[39mmin … max\u001b[90m): \u001b[39m0.00% … 29.53%\n",
|
||||
" Time \u001b[90m(\u001b[39m\u001b[34m\u001b[1mmedian\u001b[22m\u001b[39m\u001b[90m): \u001b[39m\u001b[34m\u001b[1m2.086 ms \u001b[22m\u001b[39m\u001b[90m┊\u001b[39m GC \u001b[90m(\u001b[39mmedian\u001b[90m): \u001b[39m0.00%\n",
|
||||
" Time \u001b[90m(\u001b[39m\u001b[32m\u001b[1mmean\u001b[22m\u001b[39m ± \u001b[32mσ\u001b[39m\u001b[90m): \u001b[39m\u001b[32m\u001b[1m2.644 ms\u001b[22m\u001b[39m ± \u001b[32m840.095 μs\u001b[39m \u001b[90m┊\u001b[39m GC \u001b[90m(\u001b[39mmean ± σ\u001b[90m): \u001b[39m5.18% ± 10.46%\n",
|
||||
"BenchmarkTools.Trial: 1772 samples with 1 evaluation.\n",
|
||||
" Range \u001b[90m(\u001b[39m\u001b[36m\u001b[1mmin\u001b[22m\u001b[39m … \u001b[35mmax\u001b[39m\u001b[90m): \u001b[39m\u001b[36m\u001b[1m2.065 ms\u001b[22m\u001b[39m … \u001b[35m8.468 ms\u001b[39m \u001b[90m┊\u001b[39m GC \u001b[90m(\u001b[39mmin … max\u001b[90m): \u001b[39m 0.00% … 44.06%\n",
|
||||
" Time \u001b[90m(\u001b[39m\u001b[34m\u001b[1mmedian\u001b[22m\u001b[39m\u001b[90m): \u001b[39m\u001b[34m\u001b[1m2.158 ms \u001b[22m\u001b[39m\u001b[90m┊\u001b[39m GC \u001b[90m(\u001b[39mmedian\u001b[90m): \u001b[39m 0.00%\n",
|
||||
" Time \u001b[90m(\u001b[39m\u001b[32m\u001b[1mmean\u001b[22m\u001b[39m ± \u001b[32mσ\u001b[39m\u001b[90m): \u001b[39m\u001b[32m\u001b[1m2.820 ms\u001b[22m\u001b[39m ± \u001b[32m1.195 ms\u001b[39m \u001b[90m┊\u001b[39m GC \u001b[90m(\u001b[39mmean ± σ\u001b[90m): \u001b[39m11.39% ± 16.96%\n",
|
||||
"\n",
|
||||
" \u001b[39m█\u001b[34m▇\u001b[39m\u001b[39m▃\u001b[39m▁\u001b[39m▁\u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[32m \u001b[39m\u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m▃\u001b[39m▃\u001b[39m▁\u001b[39m \u001b[39m \u001b[39m \u001b[39m▁\u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m▁\u001b[39m▂\u001b[39m▃\u001b[39m▃\u001b[39m▂\u001b[39m▂\u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \n",
|
||||
" \u001b[39m█\u001b[34m█\u001b[39m\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m▆\u001b[39m▇\u001b[39m▇\u001b[32m▅\u001b[39m\u001b[39m▆\u001b[39m▆\u001b[39m▇\u001b[39m▆\u001b[39m▇\u001b[39m▇\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m▇\u001b[39m█\u001b[39m▄\u001b[39m▇\u001b[39m▆\u001b[39m▇\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m▇\u001b[39m▇\u001b[39m▄\u001b[39m▄\u001b[39m▄\u001b[39m▁\u001b[39m▁\u001b[39m▁\u001b[39m▄\u001b[39m▄\u001b[39m▄\u001b[39m▄\u001b[39m▄\u001b[39m▁\u001b[39m▄\u001b[39m▅\u001b[39m▄\u001b[39m▆\u001b[39m▆\u001b[39m▅\u001b[39m▅\u001b[39m▆\u001b[39m \u001b[39m█\n",
|
||||
" 2.01 ms\u001b[90m \u001b[39m\u001b[90mHistogram: \u001b[39m\u001b[90m\u001b[1mlog(\u001b[22m\u001b[39m\u001b[90mfrequency\u001b[39m\u001b[90m\u001b[1m)\u001b[22m\u001b[39m\u001b[90m by time\u001b[39m 5.32 ms \u001b[0m\u001b[1m<\u001b[22m\n",
|
||||
" \u001b[39m█\u001b[34m▆\u001b[39m\u001b[39m▁\u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[32m \u001b[39m\u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m▂\u001b[39m▁\u001b[39m▁\u001b[39m▁\u001b[39m▂\u001b[39m▂\u001b[39m▁\u001b[39m▁\u001b[39m▁\u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \u001b[39m \n",
|
||||
" \u001b[39m█\u001b[34m█\u001b[39m\u001b[39m█\u001b[39m▇\u001b[39m▆\u001b[39m▇\u001b[39m▇\u001b[39m▆\u001b[32m▅\u001b[39m\u001b[39m▆\u001b[39m▆\u001b[39m▅\u001b[39m▅\u001b[39m▅\u001b[39m▅\u001b[39m▆\u001b[39m▄\u001b[39m▆\u001b[39m█\u001b[39m▇\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m█\u001b[39m▆\u001b[39m▆\u001b[39m▁\u001b[39m▅\u001b[39m▃\u001b[39m▃\u001b[39m▅\u001b[39m▆\u001b[39m▄\u001b[39m▄\u001b[39m▄\u001b[39m▁\u001b[39m▃\u001b[39m▄\u001b[39m▃\u001b[39m▁\u001b[39m▃\u001b[39m▄\u001b[39m▃\u001b[39m▁\u001b[39m▁\u001b[39m▁\u001b[39m▁\u001b[39m▄\u001b[39m▆\u001b[39m \u001b[39m█\n",
|
||||
" 2.06 ms\u001b[90m \u001b[39m\u001b[90mHistogram: \u001b[39m\u001b[90m\u001b[1mlog(\u001b[22m\u001b[39m\u001b[90mfrequency\u001b[39m\u001b[90m\u001b[1m)\u001b[22m\u001b[39m\u001b[90m by time\u001b[39m 7.41 ms \u001b[0m\u001b[1m<\u001b[22m\n",
|
||||
"\n",
|
||||
" Memory estimate\u001b[90m: \u001b[39m\u001b[33m5.26 MiB\u001b[39m, allocs estimate\u001b[90m: \u001b[39m\u001b[33m123004\u001b[39m."
|
||||
]
|
||||
},
|
||||
"execution_count": 12,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
|
||||
Reference in New Issue
Block a user