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[perf_skottiewasm_lottieweb] Add new bots for LottieWeb_Canvas

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Added new "backend" flag to lottie-web-perf.js and created a new lottie-web-canvas-perf.html file.

Bug: skia:9237
Change-Id: Ibca2f121666daf25fbbccac48fed80eb12ccedf7
Reviewed-on: https://skia-review.googlesource.com/c/skia/+/229420
Commit-Queue: Ravi Mistry <rmistry@google.com>
Reviewed-by: Florin Malita <fmalita@chromium.org>
This commit is contained in:
Ravi Mistry 2019-07-24 21:36:41 +00:00 committed by Skia Commit-Bot
parent 0c9ac58b37
commit d6cb7aecf1
10 changed files with 1713 additions and 5 deletions
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2
infra/bots/jobs.json
View File

@ -229,7 +229,9 @@
"Perf-Debian9-EMCC-GCE-GPU-AVX2-wasm-Release-All-CanvasKit",
"Perf-Debian9-EMCC-NUC7i5BNK-GPU-IntelIris640-wasm-Release-All-SkottieWASM",
"Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-All-LottieWeb",
"Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-All-LottieWeb_Canvas",
"Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb",
"Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb_Canvas",
"Perf-Mac10.13-Clang-MacBook10.1-GPU-IntelHD615-x86_64-Release-All",
"Perf-Mac10.13-Clang-MacBook10.1-GPU-IntelHD615-x86_64-Release-All-CommandBuffer",
"Perf-Mac10.13-Clang-MacBook10.1-GPU-IntelHD615-x86_64-Release-All-Metal",

591
infra/bots/recipes/perf_skottiewasm_lottieweb.expected/lottie_web_canvas_perf.json Normal file
View File

@ -0,0 +1,591 @@
[
{
"cmd": [
"python",
"-u",
"RECIPE_MODULE[recipe_engine::file]/resources/fileutil.py",
"--json-output",
"/path/to/tmp/json",
"ensure-directory",
"--mode",
"0777",
"[START_DIR]/cache/work"
],
"infra_step": true,
"name": "makedirs checkout_path"
},
{
"cmd": [
"python",
"-u",
"RECIPE_MODULE[recipe_engine::file]/resources/fileutil.py",
"--json-output",
"/path/to/tmp/json",
"remove",
"[START_DIR]/cache/work/.gclient_entries"
],
"infra_step": true,
"name": "remove [START_DIR]/cache/work/.gclient_entries"
},
{
"cmd": [
"python",
"-u",
"RECIPE_MODULE[depot_tools::bot_update]/resources/bot_update.py",
"--spec-path",
"cache_dir = '[START_DIR]/cache/git'\nsolutions = [{'deps_file': '.DEPS.git', 'managed': False, 'name': 'skia', 'url': 'https://skia.googlesource.com/skia.git'}]",
"--patch_root",
"skia",
"--revision_mapping_file",
"{\"got_revision\": \"skia\"}",
"--git-cache-dir",
"[START_DIR]/cache/git",
"--cleanup-dir",
"[CLEANUP]/bot_update",
"--output_json",
"/path/to/tmp/json",
"--revision",
"skia@abc123"
],
"cwd": "[START_DIR]/cache/work",
"env_prefixes": {
"PATH": [
"RECIPE_REPO[depot_tools]"
]
},
"infra_step": true,
"name": "bot_update",
"~followup_annotations": [
"@@@STEP_TEXT@Some step text@@@",
"@@@STEP_LOG_LINE@json.output@{@@@",
"@@@STEP_LOG_LINE@json.output@ \"did_run\": true, @@@",
"@@@STEP_LOG_LINE@json.output@ \"fixed_revisions\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"skia\": \"abc123\"@@@",
"@@@STEP_LOG_LINE@json.output@ }, @@@",
"@@@STEP_LOG_LINE@json.output@ \"manifest\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"skia\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"repository\": \"https://fake.org/skia.git\", @@@",
"@@@STEP_LOG_LINE@json.output@ \"revision\": \"9046e2e693bb92a76e972b694580e5d17ad10748\"@@@",
"@@@STEP_LOG_LINE@json.output@ }@@@",
"@@@STEP_LOG_LINE@json.output@ }, @@@",
"@@@STEP_LOG_LINE@json.output@ \"patch_failure\": false, @@@",
"@@@STEP_LOG_LINE@json.output@ \"patch_root\": \"skia\", @@@",
"@@@STEP_LOG_LINE@json.output@ \"properties\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"got_revision\": \"9046e2e693bb92a76e972b694580e5d17ad10748\", @@@",
"@@@STEP_LOG_LINE@json.output@ \"got_revision_cp\": \"refs/heads/master@{#164710}\"@@@",
"@@@STEP_LOG_LINE@json.output@ }, @@@",
"@@@STEP_LOG_LINE@json.output@ \"root\": \"skia\", @@@",
"@@@STEP_LOG_LINE@json.output@ \"source_manifest\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"directories\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"skia\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"git_checkout\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"repo_url\": \"https://fake.org/skia.git\", @@@",
"@@@STEP_LOG_LINE@json.output@ \"revision\": \"9046e2e693bb92a76e972b694580e5d17ad10748\"@@@",
"@@@STEP_LOG_LINE@json.output@ }@@@",
"@@@STEP_LOG_LINE@json.output@ }@@@",
"@@@STEP_LOG_LINE@json.output@ }, @@@",
"@@@STEP_LOG_LINE@json.output@ \"version\": 0@@@",
"@@@STEP_LOG_LINE@json.output@ }, @@@",
"@@@STEP_LOG_LINE@json.output@ \"step_text\": \"Some step text\"@@@",
"@@@STEP_LOG_LINE@json.output@}@@@",
"@@@STEP_LOG_END@json.output@@@",
"@@@SET_BUILD_PROPERTY@got_revision@\"9046e2e693bb92a76e972b694580e5d17ad10748\"@@@",
"@@@SET_BUILD_PROPERTY@got_revision_cp@\"refs/heads/master@{#164710}\"@@@"
]
},
{
"cmd": [
"python",
"-u",
"RECIPE_MODULE[recipe_engine::file]/resources/fileutil.py",
"--json-output",
"/path/to/tmp/json",
"listdir",
"[START_DIR]/lottie-samples"
],
"infra_step": true,
"name": "list lottie files",
"~followup_annotations": [
"@@@STEP_LOG_LINE@listdir@[START_DIR]/lottie-samples/LICENSE@@@",
"@@@STEP_LOG_LINE@listdir@[START_DIR]/lottie-samples/lottie1.json@@@",
"@@@STEP_LOG_LINE@listdir@[START_DIR]/lottie-samples/lottie2.json@@@",
"@@@STEP_LOG_LINE@listdir@[START_DIR]/lottie-samples/lottie3.json@@@",
"@@@STEP_LOG_END@listdir@@@"
]
},
{
"cmd": [
"npm",
"install"
],
"cwd": "[START_DIR]/cache/work/skia/tools/lottie-web-perf",
"env_prefixes": {
"PATH": [
"[START_DIR]/node/node/bin"
]
},
"name": "npm install"
},
{
"cmd": [
"[START_DIR]/node/node/bin/node",
"[START_DIR]/cache/work/skia/tools/lottie-web-perf/lottie-web-perf.js",
"--backend",
"canvas",
"--input",
"[START_DIR]/lottie-samples/lottie1.json",
"--output",
"[CLEANUP]/g3_try_tmp_1/lottie1.json"
],
"cwd": "[START_DIR]/cache/work/skia/tools/lottie-web-perf",
"env": {
"CHROME_HEADLESS": "1",
"DISPLAY": ":0",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"infra_step": true,
"name": "Run perf cmd line app"
},
{
"cmd": [
"python",
"-u",
"\nimport json\nimport sys\n\ntrace_output = sys.argv[1]\nwith open(trace_output, 'r') as f:\n trace_json = json.load(f)\noutput_json_file = sys.argv[2]\nrenderer = sys.argv[3] # Unused for now but might be useful in the future.\n\n# Output data about the GPU that was used.\nprint 'GPU data:'\nprint trace_json['metadata'].get('gpu-gl-renderer')\nprint trace_json['metadata'].get('gpu-driver')\nprint trace_json['metadata'].get('gpu-gl-vendor')\n\nerroneous_termination_statuses = [\n 'replaced_by_new_reporter_at_same_stage',\n 'did_not_produce_frame',\n]\naccepted_termination_statuses = [\n 'missed_frame',\n 'submitted_frame',\n 'main_frame_aborted'\n]\n\ncurrent_frame_duration = 0\ntotal_frames = 0\nframe_id_to_start_ts = {}\n# Will contain tuples of frame_ids and their duration.\ncompleted_frame_id_and_duration = []\nfor trace in trace_json['traceEvents']:\n if 'PipelineReporter' in trace['name']:\n frame_id = trace['id']\n args = trace.get('args')\n if args and args.get('step') == 'BeginImplFrameToSendBeginMainFrame':\n frame_id_to_start_ts[frame_id] = trace['ts']\n elif args and (args.get('termination_status') in\n accepted_termination_statuses):\n if not frame_id_to_start_ts.get(frame_id):\n print '[No start ts found for %s]' % frame_id\n continue\n current_frame_duration = trace['ts'] - frame_id_to_start_ts[frame_id]\n total_frames += 1\n completed_frame_id_and_duration.append(\n (frame_id, current_frame_duration))\n # We are done with this frame_id so remove it from the dict.\n frame_id_to_start_ts.pop(frame_id)\n print '%d (%s with %s): %d' % (\n total_frames, frame_id, args['termination_status'],\n current_frame_duration)\n elif args and (args.get('termination_status') in\n erroneous_termination_statuses):\n # Invalidate previously collected results for this frame_id.\n if frame_id_to_start_ts.get(frame_id):\n print '[Invalidating %s due to %s]' % (\n frame_id, args['termination_status'])\n frame_id_to_start_ts.pop(frame_id)\n\ntotal_completed_frames = len(completed_frame_id_and_duration)\nif total_completed_frames < 25:\n raise Exception('Even with 2 loops found only %d frames' %\n total_completed_frames)\n\n# Get frame avg/min/max for the middle 25 frames.\nstart = (total_completed_frames - 25)/2\nprint 'Got %d total completed frames. Using start_index of %d.' % (\n total_completed_frames, start)\nframe_max = 0\nframe_min = 0\nframe_cumulative = 0\nfor frame_id, duration in completed_frame_id_and_duration[start:start+25]:\n frame_max = max(frame_max, duration)\n frame_min = min(frame_min, duration) if frame_min else duration\n frame_cumulative += duration\n\nperf_results = {}\nperf_results['frame_max_us'] = frame_max\nperf_results['frame_min_us'] = frame_min\nperf_results['frame_avg_us'] = frame_cumulative/25\nprint 'For 25 frames got: %s' % perf_results\n\n# Write perf_results to the output json.\nwith open(output_json_file, 'w') as f:\n f.write(json.dumps(perf_results))\n",
"[CLEANUP]/g3_try_tmp_1/lottie1.json",
"/path/to/tmp/json",
"lottie-web"
],
"env": {
"CHROME_HEADLESS": "1",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"name": "parse lottie1.json trace",
"~followup_annotations": [
"@@@STEP_LOG_LINE@json.output@{@@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_avg_us\": 179.71, @@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_max_us\": 218.25, @@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_min_us\": 141.17@@@",
"@@@STEP_LOG_LINE@json.output@}@@@",
"@@@STEP_LOG_END@json.output@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@import json@@@",
"@@@STEP_LOG_LINE@python.inline@import sys@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@trace_output = sys.argv[1]@@@",
"@@@STEP_LOG_LINE@python.inline@with open(trace_output, 'r') as f:@@@",
"@@@STEP_LOG_LINE@python.inline@ trace_json = json.load(f)@@@",
"@@@STEP_LOG_LINE@python.inline@output_json_file = sys.argv[2]@@@",
"@@@STEP_LOG_LINE@python.inline@renderer = sys.argv[3] # Unused for now but might be useful in the future.@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Output data about the GPU that was used.@@@",
"@@@STEP_LOG_LINE@python.inline@print 'GPU data:'@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-gl-renderer')@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-driver')@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-gl-vendor')@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@erroneous_termination_statuses = [@@@",
"@@@STEP_LOG_LINE@python.inline@ 'replaced_by_new_reporter_at_same_stage',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'did_not_produce_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@]@@@",
"@@@STEP_LOG_LINE@python.inline@accepted_termination_statuses = [@@@",
"@@@STEP_LOG_LINE@python.inline@ 'missed_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'submitted_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'main_frame_aborted'@@@",
"@@@STEP_LOG_LINE@python.inline@]@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@current_frame_duration = 0@@@",
"@@@STEP_LOG_LINE@python.inline@total_frames = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_id_to_start_ts = {}@@@",
"@@@STEP_LOG_LINE@python.inline@# Will contain tuples of frame_ids and their duration.@@@",
"@@@STEP_LOG_LINE@python.inline@completed_frame_id_and_duration = []@@@",
"@@@STEP_LOG_LINE@python.inline@for trace in trace_json['traceEvents']:@@@",
"@@@STEP_LOG_LINE@python.inline@ if 'PipelineReporter' in trace['name']:@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id = trace['id']@@@",
"@@@STEP_LOG_LINE@python.inline@ args = trace.get('args')@@@",
"@@@STEP_LOG_LINE@python.inline@ if args and args.get('step') == 'BeginImplFrameToSendBeginMainFrame':@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts[frame_id] = trace['ts']@@@",
"@@@STEP_LOG_LINE@python.inline@ elif args and (args.get('termination_status') in@@@",
"@@@STEP_LOG_LINE@python.inline@ accepted_termination_statuses):@@@",
"@@@STEP_LOG_LINE@python.inline@ if not frame_id_to_start_ts.get(frame_id):@@@",
"@@@STEP_LOG_LINE@python.inline@ print '[No start ts found for %s]' % frame_id@@@",
"@@@STEP_LOG_LINE@python.inline@ continue@@@",
"@@@STEP_LOG_LINE@python.inline@ current_frame_duration = trace['ts'] - frame_id_to_start_ts[frame_id]@@@",
"@@@STEP_LOG_LINE@python.inline@ total_frames += 1@@@",
"@@@STEP_LOG_LINE@python.inline@ completed_frame_id_and_duration.append(@@@",
"@@@STEP_LOG_LINE@python.inline@ (frame_id, current_frame_duration))@@@",
"@@@STEP_LOG_LINE@python.inline@ # We are done with this frame_id so remove it from the dict.@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts.pop(frame_id)@@@",
"@@@STEP_LOG_LINE@python.inline@ print '%d (%s with %s): %d' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ total_frames, frame_id, args['termination_status'],@@@",
"@@@STEP_LOG_LINE@python.inline@ current_frame_duration)@@@",
"@@@STEP_LOG_LINE@python.inline@ elif args and (args.get('termination_status') in@@@",
"@@@STEP_LOG_LINE@python.inline@ erroneous_termination_statuses):@@@",
"@@@STEP_LOG_LINE@python.inline@ # Invalidate previously collected results for this frame_id.@@@",
"@@@STEP_LOG_LINE@python.inline@ if frame_id_to_start_ts.get(frame_id):@@@",
"@@@STEP_LOG_LINE@python.inline@ print '[Invalidating %s due to %s]' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id, args['termination_status'])@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts.pop(frame_id)@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@total_completed_frames = len(completed_frame_id_and_duration)@@@",
"@@@STEP_LOG_LINE@python.inline@if total_completed_frames < 25:@@@",
"@@@STEP_LOG_LINE@python.inline@ raise Exception('Even with 2 loops found only %d frames' %@@@",
"@@@STEP_LOG_LINE@python.inline@ total_completed_frames)@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Get frame avg/min/max for the middle 25 frames.@@@",
"@@@STEP_LOG_LINE@python.inline@start = (total_completed_frames - 25)/2@@@",
"@@@STEP_LOG_LINE@python.inline@print 'Got %d total completed frames. Using start_index of %d.' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ total_completed_frames, start)@@@",
"@@@STEP_LOG_LINE@python.inline@frame_max = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_min = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_cumulative = 0@@@",
"@@@STEP_LOG_LINE@python.inline@for frame_id, duration in completed_frame_id_and_duration[start:start+25]:@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_max = max(frame_max, duration)@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_min = min(frame_min, duration) if frame_min else duration@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_cumulative += duration@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results = {}@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_max_us'] = frame_max@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_min_us'] = frame_min@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_avg_us'] = frame_cumulative/25@@@",
"@@@STEP_LOG_LINE@python.inline@print 'For 25 frames got: %s' % perf_results@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Write perf_results to the output json.@@@",
"@@@STEP_LOG_LINE@python.inline@with open(output_json_file, 'w') as f:@@@",
"@@@STEP_LOG_LINE@python.inline@ f.write(json.dumps(perf_results))@@@",
"@@@STEP_LOG_END@python.inline@@@"
]
},
{
"cmd": [
"[START_DIR]/node/node/bin/node",
"[START_DIR]/cache/work/skia/tools/lottie-web-perf/lottie-web-perf.js",
"--backend",
"canvas",
"--input",
"[START_DIR]/lottie-samples/lottie2.json",
"--output",
"[CLEANUP]/g3_try_tmp_1/lottie2.json"
],
"cwd": "[START_DIR]/cache/work/skia/tools/lottie-web-perf",
"env": {
"CHROME_HEADLESS": "1",
"DISPLAY": ":0",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"infra_step": true,
"name": "Run perf cmd line app (2)"
},
{
"cmd": [
"python",
"-u",
"\nimport json\nimport sys\n\ntrace_output = sys.argv[1]\nwith open(trace_output, 'r') as f:\n trace_json = json.load(f)\noutput_json_file = sys.argv[2]\nrenderer = sys.argv[3] # Unused for now but might be useful in the future.\n\n# Output data about the GPU that was used.\nprint 'GPU data:'\nprint trace_json['metadata'].get('gpu-gl-renderer')\nprint trace_json['metadata'].get('gpu-driver')\nprint trace_json['metadata'].get('gpu-gl-vendor')\n\nerroneous_termination_statuses = [\n 'replaced_by_new_reporter_at_same_stage',\n 'did_not_produce_frame',\n]\naccepted_termination_statuses = [\n 'missed_frame',\n 'submitted_frame',\n 'main_frame_aborted'\n]\n\ncurrent_frame_duration = 0\ntotal_frames = 0\nframe_id_to_start_ts = {}\n# Will contain tuples of frame_ids and their duration.\ncompleted_frame_id_and_duration = []\nfor trace in trace_json['traceEvents']:\n if 'PipelineReporter' in trace['name']:\n frame_id = trace['id']\n args = trace.get('args')\n if args and args.get('step') == 'BeginImplFrameToSendBeginMainFrame':\n frame_id_to_start_ts[frame_id] = trace['ts']\n elif args and (args.get('termination_status') in\n accepted_termination_statuses):\n if not frame_id_to_start_ts.get(frame_id):\n print '[No start ts found for %s]' % frame_id\n continue\n current_frame_duration = trace['ts'] - frame_id_to_start_ts[frame_id]\n total_frames += 1\n completed_frame_id_and_duration.append(\n (frame_id, current_frame_duration))\n # We are done with this frame_id so remove it from the dict.\n frame_id_to_start_ts.pop(frame_id)\n print '%d (%s with %s): %d' % (\n total_frames, frame_id, args['termination_status'],\n current_frame_duration)\n elif args and (args.get('termination_status') in\n erroneous_termination_statuses):\n # Invalidate previously collected results for this frame_id.\n if frame_id_to_start_ts.get(frame_id):\n print '[Invalidating %s due to %s]' % (\n frame_id, args['termination_status'])\n frame_id_to_start_ts.pop(frame_id)\n\ntotal_completed_frames = len(completed_frame_id_and_duration)\nif total_completed_frames < 25:\n raise Exception('Even with 2 loops found only %d frames' %\n total_completed_frames)\n\n# Get frame avg/min/max for the middle 25 frames.\nstart = (total_completed_frames - 25)/2\nprint 'Got %d total completed frames. Using start_index of %d.' % (\n total_completed_frames, start)\nframe_max = 0\nframe_min = 0\nframe_cumulative = 0\nfor frame_id, duration in completed_frame_id_and_duration[start:start+25]:\n frame_max = max(frame_max, duration)\n frame_min = min(frame_min, duration) if frame_min else duration\n frame_cumulative += duration\n\nperf_results = {}\nperf_results['frame_max_us'] = frame_max\nperf_results['frame_min_us'] = frame_min\nperf_results['frame_avg_us'] = frame_cumulative/25\nprint 'For 25 frames got: %s' % perf_results\n\n# Write perf_results to the output json.\nwith open(output_json_file, 'w') as f:\n f.write(json.dumps(perf_results))\n",
"[CLEANUP]/g3_try_tmp_1/lottie2.json",
"/path/to/tmp/json",
"lottie-web"
],
"env": {
"CHROME_HEADLESS": "1",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"name": "parse lottie2.json trace",
"~followup_annotations": [
"@@@STEP_LOG_LINE@json.output@{@@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_avg_us\": 179.71, @@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_max_us\": 218.25, @@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_min_us\": 141.17@@@",
"@@@STEP_LOG_LINE@json.output@}@@@",
"@@@STEP_LOG_END@json.output@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@import json@@@",
"@@@STEP_LOG_LINE@python.inline@import sys@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@trace_output = sys.argv[1]@@@",
"@@@STEP_LOG_LINE@python.inline@with open(trace_output, 'r') as f:@@@",
"@@@STEP_LOG_LINE@python.inline@ trace_json = json.load(f)@@@",
"@@@STEP_LOG_LINE@python.inline@output_json_file = sys.argv[2]@@@",
"@@@STEP_LOG_LINE@python.inline@renderer = sys.argv[3] # Unused for now but might be useful in the future.@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Output data about the GPU that was used.@@@",
"@@@STEP_LOG_LINE@python.inline@print 'GPU data:'@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-gl-renderer')@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-driver')@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-gl-vendor')@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@erroneous_termination_statuses = [@@@",
"@@@STEP_LOG_LINE@python.inline@ 'replaced_by_new_reporter_at_same_stage',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'did_not_produce_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@]@@@",
"@@@STEP_LOG_LINE@python.inline@accepted_termination_statuses = [@@@",
"@@@STEP_LOG_LINE@python.inline@ 'missed_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'submitted_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'main_frame_aborted'@@@",
"@@@STEP_LOG_LINE@python.inline@]@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@current_frame_duration = 0@@@",
"@@@STEP_LOG_LINE@python.inline@total_frames = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_id_to_start_ts = {}@@@",
"@@@STEP_LOG_LINE@python.inline@# Will contain tuples of frame_ids and their duration.@@@",
"@@@STEP_LOG_LINE@python.inline@completed_frame_id_and_duration = []@@@",
"@@@STEP_LOG_LINE@python.inline@for trace in trace_json['traceEvents']:@@@",
"@@@STEP_LOG_LINE@python.inline@ if 'PipelineReporter' in trace['name']:@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id = trace['id']@@@",
"@@@STEP_LOG_LINE@python.inline@ args = trace.get('args')@@@",
"@@@STEP_LOG_LINE@python.inline@ if args and args.get('step') == 'BeginImplFrameToSendBeginMainFrame':@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts[frame_id] = trace['ts']@@@",
"@@@STEP_LOG_LINE@python.inline@ elif args and (args.get('termination_status') in@@@",
"@@@STEP_LOG_LINE@python.inline@ accepted_termination_statuses):@@@",
"@@@STEP_LOG_LINE@python.inline@ if not frame_id_to_start_ts.get(frame_id):@@@",
"@@@STEP_LOG_LINE@python.inline@ print '[No start ts found for %s]' % frame_id@@@",
"@@@STEP_LOG_LINE@python.inline@ continue@@@",
"@@@STEP_LOG_LINE@python.inline@ current_frame_duration = trace['ts'] - frame_id_to_start_ts[frame_id]@@@",
"@@@STEP_LOG_LINE@python.inline@ total_frames += 1@@@",
"@@@STEP_LOG_LINE@python.inline@ completed_frame_id_and_duration.append(@@@",
"@@@STEP_LOG_LINE@python.inline@ (frame_id, current_frame_duration))@@@",
"@@@STEP_LOG_LINE@python.inline@ # We are done with this frame_id so remove it from the dict.@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts.pop(frame_id)@@@",
"@@@STEP_LOG_LINE@python.inline@ print '%d (%s with %s): %d' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ total_frames, frame_id, args['termination_status'],@@@",
"@@@STEP_LOG_LINE@python.inline@ current_frame_duration)@@@",
"@@@STEP_LOG_LINE@python.inline@ elif args and (args.get('termination_status') in@@@",
"@@@STEP_LOG_LINE@python.inline@ erroneous_termination_statuses):@@@",
"@@@STEP_LOG_LINE@python.inline@ # Invalidate previously collected results for this frame_id.@@@",
"@@@STEP_LOG_LINE@python.inline@ if frame_id_to_start_ts.get(frame_id):@@@",
"@@@STEP_LOG_LINE@python.inline@ print '[Invalidating %s due to %s]' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id, args['termination_status'])@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts.pop(frame_id)@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@total_completed_frames = len(completed_frame_id_and_duration)@@@",
"@@@STEP_LOG_LINE@python.inline@if total_completed_frames < 25:@@@",
"@@@STEP_LOG_LINE@python.inline@ raise Exception('Even with 2 loops found only %d frames' %@@@",
"@@@STEP_LOG_LINE@python.inline@ total_completed_frames)@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Get frame avg/min/max for the middle 25 frames.@@@",
"@@@STEP_LOG_LINE@python.inline@start = (total_completed_frames - 25)/2@@@",
"@@@STEP_LOG_LINE@python.inline@print 'Got %d total completed frames. Using start_index of %d.' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ total_completed_frames, start)@@@",
"@@@STEP_LOG_LINE@python.inline@frame_max = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_min = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_cumulative = 0@@@",
"@@@STEP_LOG_LINE@python.inline@for frame_id, duration in completed_frame_id_and_duration[start:start+25]:@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_max = max(frame_max, duration)@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_min = min(frame_min, duration) if frame_min else duration@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_cumulative += duration@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results = {}@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_max_us'] = frame_max@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_min_us'] = frame_min@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_avg_us'] = frame_cumulative/25@@@",
"@@@STEP_LOG_LINE@python.inline@print 'For 25 frames got: %s' % perf_results@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Write perf_results to the output json.@@@",
"@@@STEP_LOG_LINE@python.inline@with open(output_json_file, 'w') as f:@@@",
"@@@STEP_LOG_LINE@python.inline@ f.write(json.dumps(perf_results))@@@",
"@@@STEP_LOG_END@python.inline@@@"
]
},
{
"cmd": [
"[START_DIR]/node/node/bin/node",
"[START_DIR]/cache/work/skia/tools/lottie-web-perf/lottie-web-perf.js",
"--backend",
"canvas",
"--input",
"[START_DIR]/lottie-samples/lottie3.json",
"--output",
"[CLEANUP]/g3_try_tmp_1/lottie3.json"
],
"cwd": "[START_DIR]/cache/work/skia/tools/lottie-web-perf",
"env": {
"CHROME_HEADLESS": "1",
"DISPLAY": ":0",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"infra_step": true,
"name": "Run perf cmd line app (3)"
},
{
"cmd": [
"python",
"-u",
"\nimport json\nimport sys\n\ntrace_output = sys.argv[1]\nwith open(trace_output, 'r') as f:\n trace_json = json.load(f)\noutput_json_file = sys.argv[2]\nrenderer = sys.argv[3] # Unused for now but might be useful in the future.\n\n# Output data about the GPU that was used.\nprint 'GPU data:'\nprint trace_json['metadata'].get('gpu-gl-renderer')\nprint trace_json['metadata'].get('gpu-driver')\nprint trace_json['metadata'].get('gpu-gl-vendor')\n\nerroneous_termination_statuses = [\n 'replaced_by_new_reporter_at_same_stage',\n 'did_not_produce_frame',\n]\naccepted_termination_statuses = [\n 'missed_frame',\n 'submitted_frame',\n 'main_frame_aborted'\n]\n\ncurrent_frame_duration = 0\ntotal_frames = 0\nframe_id_to_start_ts = {}\n# Will contain tuples of frame_ids and their duration.\ncompleted_frame_id_and_duration = []\nfor trace in trace_json['traceEvents']:\n if 'PipelineReporter' in trace['name']:\n frame_id = trace['id']\n args = trace.get('args')\n if args and args.get('step') == 'BeginImplFrameToSendBeginMainFrame':\n frame_id_to_start_ts[frame_id] = trace['ts']\n elif args and (args.get('termination_status') in\n accepted_termination_statuses):\n if not frame_id_to_start_ts.get(frame_id):\n print '[No start ts found for %s]' % frame_id\n continue\n current_frame_duration = trace['ts'] - frame_id_to_start_ts[frame_id]\n total_frames += 1\n completed_frame_id_and_duration.append(\n (frame_id, current_frame_duration))\n # We are done with this frame_id so remove it from the dict.\n frame_id_to_start_ts.pop(frame_id)\n print '%d (%s with %s): %d' % (\n total_frames, frame_id, args['termination_status'],\n current_frame_duration)\n elif args and (args.get('termination_status') in\n erroneous_termination_statuses):\n # Invalidate previously collected results for this frame_id.\n if frame_id_to_start_ts.get(frame_id):\n print '[Invalidating %s due to %s]' % (\n frame_id, args['termination_status'])\n frame_id_to_start_ts.pop(frame_id)\n\ntotal_completed_frames = len(completed_frame_id_and_duration)\nif total_completed_frames < 25:\n raise Exception('Even with 2 loops found only %d frames' %\n total_completed_frames)\n\n# Get frame avg/min/max for the middle 25 frames.\nstart = (total_completed_frames - 25)/2\nprint 'Got %d total completed frames. Using start_index of %d.' % (\n total_completed_frames, start)\nframe_max = 0\nframe_min = 0\nframe_cumulative = 0\nfor frame_id, duration in completed_frame_id_and_duration[start:start+25]:\n frame_max = max(frame_max, duration)\n frame_min = min(frame_min, duration) if frame_min else duration\n frame_cumulative += duration\n\nperf_results = {}\nperf_results['frame_max_us'] = frame_max\nperf_results['frame_min_us'] = frame_min\nperf_results['frame_avg_us'] = frame_cumulative/25\nprint 'For 25 frames got: %s' % perf_results\n\n# Write perf_results to the output json.\nwith open(output_json_file, 'w') as f:\n f.write(json.dumps(perf_results))\n",
"[CLEANUP]/g3_try_tmp_1/lottie3.json",
"/path/to/tmp/json",
"lottie-web"
],
"env": {
"CHROME_HEADLESS": "1",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"name": "parse lottie3.json trace",
"~followup_annotations": [
"@@@STEP_LOG_LINE@json.output@{@@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_avg_us\": 179.71, @@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_max_us\": 218.25, @@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_min_us\": 141.17@@@",
"@@@STEP_LOG_LINE@json.output@}@@@",
"@@@STEP_LOG_END@json.output@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@import json@@@",
"@@@STEP_LOG_LINE@python.inline@import sys@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@trace_output = sys.argv[1]@@@",
"@@@STEP_LOG_LINE@python.inline@with open(trace_output, 'r') as f:@@@",
"@@@STEP_LOG_LINE@python.inline@ trace_json = json.load(f)@@@",
"@@@STEP_LOG_LINE@python.inline@output_json_file = sys.argv[2]@@@",
"@@@STEP_LOG_LINE@python.inline@renderer = sys.argv[3] # Unused for now but might be useful in the future.@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Output data about the GPU that was used.@@@",
"@@@STEP_LOG_LINE@python.inline@print 'GPU data:'@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-gl-renderer')@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-driver')@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-gl-vendor')@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@erroneous_termination_statuses = [@@@",
"@@@STEP_LOG_LINE@python.inline@ 'replaced_by_new_reporter_at_same_stage',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'did_not_produce_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@]@@@",
"@@@STEP_LOG_LINE@python.inline@accepted_termination_statuses = [@@@",
"@@@STEP_LOG_LINE@python.inline@ 'missed_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'submitted_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'main_frame_aborted'@@@",
"@@@STEP_LOG_LINE@python.inline@]@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@current_frame_duration = 0@@@",
"@@@STEP_LOG_LINE@python.inline@total_frames = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_id_to_start_ts = {}@@@",
"@@@STEP_LOG_LINE@python.inline@# Will contain tuples of frame_ids and their duration.@@@",
"@@@STEP_LOG_LINE@python.inline@completed_frame_id_and_duration = []@@@",
"@@@STEP_LOG_LINE@python.inline@for trace in trace_json['traceEvents']:@@@",
"@@@STEP_LOG_LINE@python.inline@ if 'PipelineReporter' in trace['name']:@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id = trace['id']@@@",
"@@@STEP_LOG_LINE@python.inline@ args = trace.get('args')@@@",
"@@@STEP_LOG_LINE@python.inline@ if args and args.get('step') == 'BeginImplFrameToSendBeginMainFrame':@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts[frame_id] = trace['ts']@@@",
"@@@STEP_LOG_LINE@python.inline@ elif args and (args.get('termination_status') in@@@",
"@@@STEP_LOG_LINE@python.inline@ accepted_termination_statuses):@@@",
"@@@STEP_LOG_LINE@python.inline@ if not frame_id_to_start_ts.get(frame_id):@@@",
"@@@STEP_LOG_LINE@python.inline@ print '[No start ts found for %s]' % frame_id@@@",
"@@@STEP_LOG_LINE@python.inline@ continue@@@",
"@@@STEP_LOG_LINE@python.inline@ current_frame_duration = trace['ts'] - frame_id_to_start_ts[frame_id]@@@",
"@@@STEP_LOG_LINE@python.inline@ total_frames += 1@@@",
"@@@STEP_LOG_LINE@python.inline@ completed_frame_id_and_duration.append(@@@",
"@@@STEP_LOG_LINE@python.inline@ (frame_id, current_frame_duration))@@@",
"@@@STEP_LOG_LINE@python.inline@ # We are done with this frame_id so remove it from the dict.@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts.pop(frame_id)@@@",
"@@@STEP_LOG_LINE@python.inline@ print '%d (%s with %s): %d' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ total_frames, frame_id, args['termination_status'],@@@",
"@@@STEP_LOG_LINE@python.inline@ current_frame_duration)@@@",
"@@@STEP_LOG_LINE@python.inline@ elif args and (args.get('termination_status') in@@@",
"@@@STEP_LOG_LINE@python.inline@ erroneous_termination_statuses):@@@",
"@@@STEP_LOG_LINE@python.inline@ # Invalidate previously collected results for this frame_id.@@@",
"@@@STEP_LOG_LINE@python.inline@ if frame_id_to_start_ts.get(frame_id):@@@",
"@@@STEP_LOG_LINE@python.inline@ print '[Invalidating %s due to %s]' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id, args['termination_status'])@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts.pop(frame_id)@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@total_completed_frames = len(completed_frame_id_and_duration)@@@",
"@@@STEP_LOG_LINE@python.inline@if total_completed_frames < 25:@@@",
"@@@STEP_LOG_LINE@python.inline@ raise Exception('Even with 2 loops found only %d frames' %@@@",
"@@@STEP_LOG_LINE@python.inline@ total_completed_frames)@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Get frame avg/min/max for the middle 25 frames.@@@",
"@@@STEP_LOG_LINE@python.inline@start = (total_completed_frames - 25)/2@@@",
"@@@STEP_LOG_LINE@python.inline@print 'Got %d total completed frames. Using start_index of %d.' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ total_completed_frames, start)@@@",
"@@@STEP_LOG_LINE@python.inline@frame_max = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_min = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_cumulative = 0@@@",
"@@@STEP_LOG_LINE@python.inline@for frame_id, duration in completed_frame_id_and_duration[start:start+25]:@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_max = max(frame_max, duration)@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_min = min(frame_min, duration) if frame_min else duration@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_cumulative += duration@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results = {}@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_max_us'] = frame_max@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_min_us'] = frame_min@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_avg_us'] = frame_cumulative/25@@@",
"@@@STEP_LOG_LINE@python.inline@print 'For 25 frames got: %s' % perf_results@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Write perf_results to the output json.@@@",
"@@@STEP_LOG_LINE@python.inline@with open(output_json_file, 'w') as f:@@@",
"@@@STEP_LOG_LINE@python.inline@ f.write(json.dumps(perf_results))@@@",
"@@@STEP_LOG_END@python.inline@@@"
]
},
{
"cmd": [
"python",
"-u",
"RECIPE_MODULE[recipe_engine::file]/resources/fileutil.py",
"--json-output",
"/path/to/tmp/json",
"rmtree",
"[CLEANUP]/g3_try_tmp_1"
],
"infra_step": true,
"name": "rmtree [CLEANUP]/g3_try_tmp_1"
},
{
"cmd": [
"python",
"-u",
"import os\nprint os.environ.get('SWARMING_BOT_ID', '')\n"
],
"name": "get swarming bot id",
"~followup_annotations": [
"@@@STEP_LOG_LINE@python.inline@import os@@@",
"@@@STEP_LOG_LINE@python.inline@print os.environ.get('SWARMING_BOT_ID', '')@@@",
"@@@STEP_LOG_END@python.inline@@@"
]
},
{
"cmd": [
"python",
"-u",
"import os\nprint os.environ.get('SWARMING_TASK_ID', '')\n"
],
"name": "get swarming task id",
"~followup_annotations": [
"@@@STEP_LOG_LINE@python.inline@import os@@@",
"@@@STEP_LOG_LINE@python.inline@print os.environ.get('SWARMING_TASK_ID', '')@@@",
"@@@STEP_LOG_END@python.inline@@@"
]
},
{
"cmd": [
"python",
"-u",
"RECIPE_MODULE[recipe_engine::file]/resources/fileutil.py",
"--json-output",
"/path/to/tmp/json",
"ensure-directory",
"--mode",
"0777",
"[START_DIR]/[SWARM_OUT_DIR]"
],
"infra_step": true,
"name": "makedirs perf_dir"
},
{
"cmd": [
"python",
"-u",
"import json\nwith open('[START_DIR]/[SWARM_OUT_DIR]/perf_abc123_1337000001.json', 'w') as outfile:\n json.dump(obj={'gitHash': 'abc123', 'results': {'lottie3.json': {'gl': {'frame_avg_us': 179.71, 'frame_max_us': 218.25, 'frame_min_us': 141.17}}, 'lottie1.json': {'gl': {'frame_avg_us': 179.71, 'frame_max_us': 218.25, 'frame_min_us': 141.17}}, 'lottie2.json': {'gl': {'frame_avg_us': 179.71, 'frame_max_us': 218.25, 'frame_min_us': 141.17}}}, 'swarming_task_id': '', 'renderer': 'lottie-web', 'key': {'extra_config': 'LottieWeb_Canvas', 'bench_type': 'tracing', 'cpu_or_gpu_value': 'AVX2', 'arch': 'x86_64', 'source_type': 'lottie-web', 'cpu_or_gpu': 'CPU', 'model': 'GCE', 'configuration': 'Release', 'os': 'Debian9', 'compiler': 'none'}, 'swarming_bot_id': ''}, fp=outfile, indent=4)\n"
],
"env": {
"CHROME_HEADLESS": "1",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"name": "write output JSON",
"~followup_annotations": [
"@@@STEP_LOG_LINE@python.inline@import json@@@",
"@@@STEP_LOG_LINE@python.inline@with open('[START_DIR]/[SWARM_OUT_DIR]/perf_abc123_1337000001.json', 'w') as outfile:@@@",
"@@@STEP_LOG_LINE@python.inline@ json.dump(obj={'gitHash': 'abc123', 'results': {'lottie3.json': {'gl': {'frame_avg_us': 179.71, 'frame_max_us': 218.25, 'frame_min_us': 141.17}}, 'lottie1.json': {'gl': {'frame_avg_us': 179.71, 'frame_max_us': 218.25, 'frame_min_us': 141.17}}, 'lottie2.json': {'gl': {'frame_avg_us': 179.71, 'frame_max_us': 218.25, 'frame_min_us': 141.17}}}, 'swarming_task_id': '', 'renderer': 'lottie-web', 'key': {'extra_config': 'LottieWeb_Canvas', 'bench_type': 'tracing', 'cpu_or_gpu_value': 'AVX2', 'arch': 'x86_64', 'source_type': 'lottie-web', 'cpu_or_gpu': 'CPU', 'model': 'GCE', 'configuration': 'Release', 'os': 'Debian9', 'compiler': 'none'}, 'swarming_bot_id': ''}, fp=outfile, indent=4)@@@",
"@@@STEP_LOG_END@python.inline@@@"
]
},
{
"name": "$result"
}
]

593
infra/bots/recipes/perf_skottiewasm_lottieweb.expected/lottie_web_canvas_perf_trybot.json Normal file
View File

@ -0,0 +1,593 @@
[
{
"cmd": [
"python",
"-u",
"RECIPE_MODULE[recipe_engine::file]/resources/fileutil.py",
"--json-output",
"/path/to/tmp/json",
"ensure-directory",
"--mode",
"0777",
"[START_DIR]/cache/work"
],
"infra_step": true,
"name": "makedirs checkout_path"
},
{
"cmd": [
"python",
"-u",
"RECIPE_MODULE[recipe_engine::file]/resources/fileutil.py",
"--json-output",
"/path/to/tmp/json",
"remove",
"[START_DIR]/cache/work/.gclient_entries"
],
"infra_step": true,
"name": "remove [START_DIR]/cache/work/.gclient_entries"
},
{
"cmd": [
"python",
"-u",
"RECIPE_MODULE[depot_tools::bot_update]/resources/bot_update.py",
"--spec-path",
"cache_dir = '[START_DIR]/cache/git'\nsolutions = [{'deps_file': '.DEPS.git', 'managed': False, 'name': 'skia', 'url': 'https://skia.googlesource.com/skia.git'}]",
"--patch_root",
"skia",
"--revision_mapping_file",
"{\"got_revision\": \"skia\"}",
"--git-cache-dir",
"[START_DIR]/cache/git",
"--cleanup-dir",
"[CLEANUP]/bot_update",
"--output_json",
"/path/to/tmp/json",
"--patch_ref",
"https://skia.googlesource.com/skia.git@abc123:89/456789/12",
"--revision",
"skia@abc123"
],
"cwd": "[START_DIR]/cache/work",
"env_prefixes": {
"PATH": [
"RECIPE_REPO[depot_tools]"
]
},
"infra_step": true,
"name": "bot_update",
"~followup_annotations": [
"@@@STEP_TEXT@Some step text@@@",
"@@@STEP_LOG_LINE@json.output@{@@@",
"@@@STEP_LOG_LINE@json.output@ \"did_run\": true, @@@",
"@@@STEP_LOG_LINE@json.output@ \"fixed_revisions\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"skia\": \"abc123\"@@@",
"@@@STEP_LOG_LINE@json.output@ }, @@@",
"@@@STEP_LOG_LINE@json.output@ \"manifest\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"skia\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"repository\": \"https://fake.org/skia.git\", @@@",
"@@@STEP_LOG_LINE@json.output@ \"revision\": \"9046e2e693bb92a76e972b694580e5d17ad10748\"@@@",
"@@@STEP_LOG_LINE@json.output@ }@@@",
"@@@STEP_LOG_LINE@json.output@ }, @@@",
"@@@STEP_LOG_LINE@json.output@ \"patch_failure\": false, @@@",
"@@@STEP_LOG_LINE@json.output@ \"patch_root\": \"skia\", @@@",
"@@@STEP_LOG_LINE@json.output@ \"properties\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"got_revision\": \"9046e2e693bb92a76e972b694580e5d17ad10748\", @@@",
"@@@STEP_LOG_LINE@json.output@ \"got_revision_cp\": \"refs/heads/master@{#164710}\"@@@",
"@@@STEP_LOG_LINE@json.output@ }, @@@",
"@@@STEP_LOG_LINE@json.output@ \"root\": \"skia\", @@@",
"@@@STEP_LOG_LINE@json.output@ \"source_manifest\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"directories\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"skia\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"git_checkout\": {@@@",
"@@@STEP_LOG_LINE@json.output@ \"repo_url\": \"https://fake.org/skia.git\", @@@",
"@@@STEP_LOG_LINE@json.output@ \"revision\": \"9046e2e693bb92a76e972b694580e5d17ad10748\"@@@",
"@@@STEP_LOG_LINE@json.output@ }@@@",
"@@@STEP_LOG_LINE@json.output@ }@@@",
"@@@STEP_LOG_LINE@json.output@ }, @@@",
"@@@STEP_LOG_LINE@json.output@ \"version\": 0@@@",
"@@@STEP_LOG_LINE@json.output@ }, @@@",
"@@@STEP_LOG_LINE@json.output@ \"step_text\": \"Some step text\"@@@",
"@@@STEP_LOG_LINE@json.output@}@@@",
"@@@STEP_LOG_END@json.output@@@",
"@@@SET_BUILD_PROPERTY@got_revision@\"9046e2e693bb92a76e972b694580e5d17ad10748\"@@@",
"@@@SET_BUILD_PROPERTY@got_revision_cp@\"refs/heads/master@{#164710}\"@@@"
]
},
{
"cmd": [
"python",
"-u",
"RECIPE_MODULE[recipe_engine::file]/resources/fileutil.py",
"--json-output",
"/path/to/tmp/json",
"listdir",
"[START_DIR]/lottie-samples"
],
"infra_step": true,
"name": "list lottie files",
"~followup_annotations": [
"@@@STEP_LOG_LINE@listdir@[START_DIR]/lottie-samples/LICENSE@@@",
"@@@STEP_LOG_LINE@listdir@[START_DIR]/lottie-samples/lottie1.json@@@",
"@@@STEP_LOG_LINE@listdir@[START_DIR]/lottie-samples/lottie2.json@@@",
"@@@STEP_LOG_LINE@listdir@[START_DIR]/lottie-samples/lottie3.json@@@",
"@@@STEP_LOG_END@listdir@@@"
]
},
{
"cmd": [
"npm",
"install"
],
"cwd": "[START_DIR]/cache/work/skia/tools/lottie-web-perf",
"env_prefixes": {
"PATH": [
"[START_DIR]/node/node/bin"
]
},
"name": "npm install"
},
{
"cmd": [
"[START_DIR]/node/node/bin/node",
"[START_DIR]/cache/work/skia/tools/lottie-web-perf/lottie-web-perf.js",
"--backend",
"canvas",
"--input",
"[START_DIR]/lottie-samples/lottie1.json",
"--output",
"[CLEANUP]/g3_try_tmp_1/lottie1.json"
],
"cwd": "[START_DIR]/cache/work/skia/tools/lottie-web-perf",
"env": {
"CHROME_HEADLESS": "1",
"DISPLAY": ":0",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"infra_step": true,
"name": "Run perf cmd line app"
},
{
"cmd": [
"python",
"-u",
"\nimport json\nimport sys\n\ntrace_output = sys.argv[1]\nwith open(trace_output, 'r') as f:\n trace_json = json.load(f)\noutput_json_file = sys.argv[2]\nrenderer = sys.argv[3] # Unused for now but might be useful in the future.\n\n# Output data about the GPU that was used.\nprint 'GPU data:'\nprint trace_json['metadata'].get('gpu-gl-renderer')\nprint trace_json['metadata'].get('gpu-driver')\nprint trace_json['metadata'].get('gpu-gl-vendor')\n\nerroneous_termination_statuses = [\n 'replaced_by_new_reporter_at_same_stage',\n 'did_not_produce_frame',\n]\naccepted_termination_statuses = [\n 'missed_frame',\n 'submitted_frame',\n 'main_frame_aborted'\n]\n\ncurrent_frame_duration = 0\ntotal_frames = 0\nframe_id_to_start_ts = {}\n# Will contain tuples of frame_ids and their duration.\ncompleted_frame_id_and_duration = []\nfor trace in trace_json['traceEvents']:\n if 'PipelineReporter' in trace['name']:\n frame_id = trace['id']\n args = trace.get('args')\n if args and args.get('step') == 'BeginImplFrameToSendBeginMainFrame':\n frame_id_to_start_ts[frame_id] = trace['ts']\n elif args and (args.get('termination_status') in\n accepted_termination_statuses):\n if not frame_id_to_start_ts.get(frame_id):\n print '[No start ts found for %s]' % frame_id\n continue\n current_frame_duration = trace['ts'] - frame_id_to_start_ts[frame_id]\n total_frames += 1\n completed_frame_id_and_duration.append(\n (frame_id, current_frame_duration))\n # We are done with this frame_id so remove it from the dict.\n frame_id_to_start_ts.pop(frame_id)\n print '%d (%s with %s): %d' % (\n total_frames, frame_id, args['termination_status'],\n current_frame_duration)\n elif args and (args.get('termination_status') in\n erroneous_termination_statuses):\n # Invalidate previously collected results for this frame_id.\n if frame_id_to_start_ts.get(frame_id):\n print '[Invalidating %s due to %s]' % (\n frame_id, args['termination_status'])\n frame_id_to_start_ts.pop(frame_id)\n\ntotal_completed_frames = len(completed_frame_id_and_duration)\nif total_completed_frames < 25:\n raise Exception('Even with 2 loops found only %d frames' %\n total_completed_frames)\n\n# Get frame avg/min/max for the middle 25 frames.\nstart = (total_completed_frames - 25)/2\nprint 'Got %d total completed frames. Using start_index of %d.' % (\n total_completed_frames, start)\nframe_max = 0\nframe_min = 0\nframe_cumulative = 0\nfor frame_id, duration in completed_frame_id_and_duration[start:start+25]:\n frame_max = max(frame_max, duration)\n frame_min = min(frame_min, duration) if frame_min else duration\n frame_cumulative += duration\n\nperf_results = {}\nperf_results['frame_max_us'] = frame_max\nperf_results['frame_min_us'] = frame_min\nperf_results['frame_avg_us'] = frame_cumulative/25\nprint 'For 25 frames got: %s' % perf_results\n\n# Write perf_results to the output json.\nwith open(output_json_file, 'w') as f:\n f.write(json.dumps(perf_results))\n",
"[CLEANUP]/g3_try_tmp_1/lottie1.json",
"/path/to/tmp/json",
"lottie-web"
],
"env": {
"CHROME_HEADLESS": "1",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"name": "parse lottie1.json trace",
"~followup_annotations": [
"@@@STEP_LOG_LINE@json.output@{@@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_avg_us\": 179.71, @@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_max_us\": 218.25, @@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_min_us\": 141.17@@@",
"@@@STEP_LOG_LINE@json.output@}@@@",
"@@@STEP_LOG_END@json.output@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@import json@@@",
"@@@STEP_LOG_LINE@python.inline@import sys@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@trace_output = sys.argv[1]@@@",
"@@@STEP_LOG_LINE@python.inline@with open(trace_output, 'r') as f:@@@",
"@@@STEP_LOG_LINE@python.inline@ trace_json = json.load(f)@@@",
"@@@STEP_LOG_LINE@python.inline@output_json_file = sys.argv[2]@@@",
"@@@STEP_LOG_LINE@python.inline@renderer = sys.argv[3] # Unused for now but might be useful in the future.@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Output data about the GPU that was used.@@@",
"@@@STEP_LOG_LINE@python.inline@print 'GPU data:'@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-gl-renderer')@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-driver')@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-gl-vendor')@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@erroneous_termination_statuses = [@@@",
"@@@STEP_LOG_LINE@python.inline@ 'replaced_by_new_reporter_at_same_stage',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'did_not_produce_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@]@@@",
"@@@STEP_LOG_LINE@python.inline@accepted_termination_statuses = [@@@",
"@@@STEP_LOG_LINE@python.inline@ 'missed_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'submitted_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'main_frame_aborted'@@@",
"@@@STEP_LOG_LINE@python.inline@]@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@current_frame_duration = 0@@@",
"@@@STEP_LOG_LINE@python.inline@total_frames = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_id_to_start_ts = {}@@@",
"@@@STEP_LOG_LINE@python.inline@# Will contain tuples of frame_ids and their duration.@@@",
"@@@STEP_LOG_LINE@python.inline@completed_frame_id_and_duration = []@@@",
"@@@STEP_LOG_LINE@python.inline@for trace in trace_json['traceEvents']:@@@",
"@@@STEP_LOG_LINE@python.inline@ if 'PipelineReporter' in trace['name']:@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id = trace['id']@@@",
"@@@STEP_LOG_LINE@python.inline@ args = trace.get('args')@@@",
"@@@STEP_LOG_LINE@python.inline@ if args and args.get('step') == 'BeginImplFrameToSendBeginMainFrame':@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts[frame_id] = trace['ts']@@@",
"@@@STEP_LOG_LINE@python.inline@ elif args and (args.get('termination_status') in@@@",
"@@@STEP_LOG_LINE@python.inline@ accepted_termination_statuses):@@@",
"@@@STEP_LOG_LINE@python.inline@ if not frame_id_to_start_ts.get(frame_id):@@@",
"@@@STEP_LOG_LINE@python.inline@ print '[No start ts found for %s]' % frame_id@@@",
"@@@STEP_LOG_LINE@python.inline@ continue@@@",
"@@@STEP_LOG_LINE@python.inline@ current_frame_duration = trace['ts'] - frame_id_to_start_ts[frame_id]@@@",
"@@@STEP_LOG_LINE@python.inline@ total_frames += 1@@@",
"@@@STEP_LOG_LINE@python.inline@ completed_frame_id_and_duration.append(@@@",
"@@@STEP_LOG_LINE@python.inline@ (frame_id, current_frame_duration))@@@",
"@@@STEP_LOG_LINE@python.inline@ # We are done with this frame_id so remove it from the dict.@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts.pop(frame_id)@@@",
"@@@STEP_LOG_LINE@python.inline@ print '%d (%s with %s): %d' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ total_frames, frame_id, args['termination_status'],@@@",
"@@@STEP_LOG_LINE@python.inline@ current_frame_duration)@@@",
"@@@STEP_LOG_LINE@python.inline@ elif args and (args.get('termination_status') in@@@",
"@@@STEP_LOG_LINE@python.inline@ erroneous_termination_statuses):@@@",
"@@@STEP_LOG_LINE@python.inline@ # Invalidate previously collected results for this frame_id.@@@",
"@@@STEP_LOG_LINE@python.inline@ if frame_id_to_start_ts.get(frame_id):@@@",
"@@@STEP_LOG_LINE@python.inline@ print '[Invalidating %s due to %s]' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id, args['termination_status'])@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts.pop(frame_id)@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@total_completed_frames = len(completed_frame_id_and_duration)@@@",
"@@@STEP_LOG_LINE@python.inline@if total_completed_frames < 25:@@@",
"@@@STEP_LOG_LINE@python.inline@ raise Exception('Even with 2 loops found only %d frames' %@@@",
"@@@STEP_LOG_LINE@python.inline@ total_completed_frames)@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Get frame avg/min/max for the middle 25 frames.@@@",
"@@@STEP_LOG_LINE@python.inline@start = (total_completed_frames - 25)/2@@@",
"@@@STEP_LOG_LINE@python.inline@print 'Got %d total completed frames. Using start_index of %d.' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ total_completed_frames, start)@@@",
"@@@STEP_LOG_LINE@python.inline@frame_max = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_min = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_cumulative = 0@@@",
"@@@STEP_LOG_LINE@python.inline@for frame_id, duration in completed_frame_id_and_duration[start:start+25]:@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_max = max(frame_max, duration)@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_min = min(frame_min, duration) if frame_min else duration@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_cumulative += duration@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results = {}@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_max_us'] = frame_max@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_min_us'] = frame_min@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_avg_us'] = frame_cumulative/25@@@",
"@@@STEP_LOG_LINE@python.inline@print 'For 25 frames got: %s' % perf_results@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Write perf_results to the output json.@@@",
"@@@STEP_LOG_LINE@python.inline@with open(output_json_file, 'w') as f:@@@",
"@@@STEP_LOG_LINE@python.inline@ f.write(json.dumps(perf_results))@@@",
"@@@STEP_LOG_END@python.inline@@@"
]
},
{
"cmd": [
"[START_DIR]/node/node/bin/node",
"[START_DIR]/cache/work/skia/tools/lottie-web-perf/lottie-web-perf.js",
"--backend",
"canvas",
"--input",
"[START_DIR]/lottie-samples/lottie2.json",
"--output",
"[CLEANUP]/g3_try_tmp_1/lottie2.json"
],
"cwd": "[START_DIR]/cache/work/skia/tools/lottie-web-perf",
"env": {
"CHROME_HEADLESS": "1",
"DISPLAY": ":0",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"infra_step": true,
"name": "Run perf cmd line app (2)"
},
{
"cmd": [
"python",
"-u",
"\nimport json\nimport sys\n\ntrace_output = sys.argv[1]\nwith open(trace_output, 'r') as f:\n trace_json = json.load(f)\noutput_json_file = sys.argv[2]\nrenderer = sys.argv[3] # Unused for now but might be useful in the future.\n\n# Output data about the GPU that was used.\nprint 'GPU data:'\nprint trace_json['metadata'].get('gpu-gl-renderer')\nprint trace_json['metadata'].get('gpu-driver')\nprint trace_json['metadata'].get('gpu-gl-vendor')\n\nerroneous_termination_statuses = [\n 'replaced_by_new_reporter_at_same_stage',\n 'did_not_produce_frame',\n]\naccepted_termination_statuses = [\n 'missed_frame',\n 'submitted_frame',\n 'main_frame_aborted'\n]\n\ncurrent_frame_duration = 0\ntotal_frames = 0\nframe_id_to_start_ts = {}\n# Will contain tuples of frame_ids and their duration.\ncompleted_frame_id_and_duration = []\nfor trace in trace_json['traceEvents']:\n if 'PipelineReporter' in trace['name']:\n frame_id = trace['id']\n args = trace.get('args')\n if args and args.get('step') == 'BeginImplFrameToSendBeginMainFrame':\n frame_id_to_start_ts[frame_id] = trace['ts']\n elif args and (args.get('termination_status') in\n accepted_termination_statuses):\n if not frame_id_to_start_ts.get(frame_id):\n print '[No start ts found for %s]' % frame_id\n continue\n current_frame_duration = trace['ts'] - frame_id_to_start_ts[frame_id]\n total_frames += 1\n completed_frame_id_and_duration.append(\n (frame_id, current_frame_duration))\n # We are done with this frame_id so remove it from the dict.\n frame_id_to_start_ts.pop(frame_id)\n print '%d (%s with %s): %d' % (\n total_frames, frame_id, args['termination_status'],\n current_frame_duration)\n elif args and (args.get('termination_status') in\n erroneous_termination_statuses):\n # Invalidate previously collected results for this frame_id.\n if frame_id_to_start_ts.get(frame_id):\n print '[Invalidating %s due to %s]' % (\n frame_id, args['termination_status'])\n frame_id_to_start_ts.pop(frame_id)\n\ntotal_completed_frames = len(completed_frame_id_and_duration)\nif total_completed_frames < 25:\n raise Exception('Even with 2 loops found only %d frames' %\n total_completed_frames)\n\n# Get frame avg/min/max for the middle 25 frames.\nstart = (total_completed_frames - 25)/2\nprint 'Got %d total completed frames. Using start_index of %d.' % (\n total_completed_frames, start)\nframe_max = 0\nframe_min = 0\nframe_cumulative = 0\nfor frame_id, duration in completed_frame_id_and_duration[start:start+25]:\n frame_max = max(frame_max, duration)\n frame_min = min(frame_min, duration) if frame_min else duration\n frame_cumulative += duration\n\nperf_results = {}\nperf_results['frame_max_us'] = frame_max\nperf_results['frame_min_us'] = frame_min\nperf_results['frame_avg_us'] = frame_cumulative/25\nprint 'For 25 frames got: %s' % perf_results\n\n# Write perf_results to the output json.\nwith open(output_json_file, 'w') as f:\n f.write(json.dumps(perf_results))\n",
"[CLEANUP]/g3_try_tmp_1/lottie2.json",
"/path/to/tmp/json",
"lottie-web"
],
"env": {
"CHROME_HEADLESS": "1",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"name": "parse lottie2.json trace",
"~followup_annotations": [
"@@@STEP_LOG_LINE@json.output@{@@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_avg_us\": 179.71, @@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_max_us\": 218.25, @@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_min_us\": 141.17@@@",
"@@@STEP_LOG_LINE@json.output@}@@@",
"@@@STEP_LOG_END@json.output@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@import json@@@",
"@@@STEP_LOG_LINE@python.inline@import sys@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@trace_output = sys.argv[1]@@@",
"@@@STEP_LOG_LINE@python.inline@with open(trace_output, 'r') as f:@@@",
"@@@STEP_LOG_LINE@python.inline@ trace_json = json.load(f)@@@",
"@@@STEP_LOG_LINE@python.inline@output_json_file = sys.argv[2]@@@",
"@@@STEP_LOG_LINE@python.inline@renderer = sys.argv[3] # Unused for now but might be useful in the future.@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Output data about the GPU that was used.@@@",
"@@@STEP_LOG_LINE@python.inline@print 'GPU data:'@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-gl-renderer')@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-driver')@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-gl-vendor')@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@erroneous_termination_statuses = [@@@",
"@@@STEP_LOG_LINE@python.inline@ 'replaced_by_new_reporter_at_same_stage',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'did_not_produce_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@]@@@",
"@@@STEP_LOG_LINE@python.inline@accepted_termination_statuses = [@@@",
"@@@STEP_LOG_LINE@python.inline@ 'missed_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'submitted_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'main_frame_aborted'@@@",
"@@@STEP_LOG_LINE@python.inline@]@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@current_frame_duration = 0@@@",
"@@@STEP_LOG_LINE@python.inline@total_frames = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_id_to_start_ts = {}@@@",
"@@@STEP_LOG_LINE@python.inline@# Will contain tuples of frame_ids and their duration.@@@",
"@@@STEP_LOG_LINE@python.inline@completed_frame_id_and_duration = []@@@",
"@@@STEP_LOG_LINE@python.inline@for trace in trace_json['traceEvents']:@@@",
"@@@STEP_LOG_LINE@python.inline@ if 'PipelineReporter' in trace['name']:@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id = trace['id']@@@",
"@@@STEP_LOG_LINE@python.inline@ args = trace.get('args')@@@",
"@@@STEP_LOG_LINE@python.inline@ if args and args.get('step') == 'BeginImplFrameToSendBeginMainFrame':@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts[frame_id] = trace['ts']@@@",
"@@@STEP_LOG_LINE@python.inline@ elif args and (args.get('termination_status') in@@@",
"@@@STEP_LOG_LINE@python.inline@ accepted_termination_statuses):@@@",
"@@@STEP_LOG_LINE@python.inline@ if not frame_id_to_start_ts.get(frame_id):@@@",
"@@@STEP_LOG_LINE@python.inline@ print '[No start ts found for %s]' % frame_id@@@",
"@@@STEP_LOG_LINE@python.inline@ continue@@@",
"@@@STEP_LOG_LINE@python.inline@ current_frame_duration = trace['ts'] - frame_id_to_start_ts[frame_id]@@@",
"@@@STEP_LOG_LINE@python.inline@ total_frames += 1@@@",
"@@@STEP_LOG_LINE@python.inline@ completed_frame_id_and_duration.append(@@@",
"@@@STEP_LOG_LINE@python.inline@ (frame_id, current_frame_duration))@@@",
"@@@STEP_LOG_LINE@python.inline@ # We are done with this frame_id so remove it from the dict.@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts.pop(frame_id)@@@",
"@@@STEP_LOG_LINE@python.inline@ print '%d (%s with %s): %d' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ total_frames, frame_id, args['termination_status'],@@@",
"@@@STEP_LOG_LINE@python.inline@ current_frame_duration)@@@",
"@@@STEP_LOG_LINE@python.inline@ elif args and (args.get('termination_status') in@@@",
"@@@STEP_LOG_LINE@python.inline@ erroneous_termination_statuses):@@@",
"@@@STEP_LOG_LINE@python.inline@ # Invalidate previously collected results for this frame_id.@@@",
"@@@STEP_LOG_LINE@python.inline@ if frame_id_to_start_ts.get(frame_id):@@@",
"@@@STEP_LOG_LINE@python.inline@ print '[Invalidating %s due to %s]' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id, args['termination_status'])@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts.pop(frame_id)@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@total_completed_frames = len(completed_frame_id_and_duration)@@@",
"@@@STEP_LOG_LINE@python.inline@if total_completed_frames < 25:@@@",
"@@@STEP_LOG_LINE@python.inline@ raise Exception('Even with 2 loops found only %d frames' %@@@",
"@@@STEP_LOG_LINE@python.inline@ total_completed_frames)@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Get frame avg/min/max for the middle 25 frames.@@@",
"@@@STEP_LOG_LINE@python.inline@start = (total_completed_frames - 25)/2@@@",
"@@@STEP_LOG_LINE@python.inline@print 'Got %d total completed frames. Using start_index of %d.' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ total_completed_frames, start)@@@",
"@@@STEP_LOG_LINE@python.inline@frame_max = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_min = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_cumulative = 0@@@",
"@@@STEP_LOG_LINE@python.inline@for frame_id, duration in completed_frame_id_and_duration[start:start+25]:@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_max = max(frame_max, duration)@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_min = min(frame_min, duration) if frame_min else duration@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_cumulative += duration@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results = {}@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_max_us'] = frame_max@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_min_us'] = frame_min@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_avg_us'] = frame_cumulative/25@@@",
"@@@STEP_LOG_LINE@python.inline@print 'For 25 frames got: %s' % perf_results@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Write perf_results to the output json.@@@",
"@@@STEP_LOG_LINE@python.inline@with open(output_json_file, 'w') as f:@@@",
"@@@STEP_LOG_LINE@python.inline@ f.write(json.dumps(perf_results))@@@",
"@@@STEP_LOG_END@python.inline@@@"
]
},
{
"cmd": [
"[START_DIR]/node/node/bin/node",
"[START_DIR]/cache/work/skia/tools/lottie-web-perf/lottie-web-perf.js",
"--backend",
"canvas",
"--input",
"[START_DIR]/lottie-samples/lottie3.json",
"--output",
"[CLEANUP]/g3_try_tmp_1/lottie3.json"
],
"cwd": "[START_DIR]/cache/work/skia/tools/lottie-web-perf",
"env": {
"CHROME_HEADLESS": "1",
"DISPLAY": ":0",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"infra_step": true,
"name": "Run perf cmd line app (3)"
},
{
"cmd": [
"python",
"-u",
"\nimport json\nimport sys\n\ntrace_output = sys.argv[1]\nwith open(trace_output, 'r') as f:\n trace_json = json.load(f)\noutput_json_file = sys.argv[2]\nrenderer = sys.argv[3] # Unused for now but might be useful in the future.\n\n# Output data about the GPU that was used.\nprint 'GPU data:'\nprint trace_json['metadata'].get('gpu-gl-renderer')\nprint trace_json['metadata'].get('gpu-driver')\nprint trace_json['metadata'].get('gpu-gl-vendor')\n\nerroneous_termination_statuses = [\n 'replaced_by_new_reporter_at_same_stage',\n 'did_not_produce_frame',\n]\naccepted_termination_statuses = [\n 'missed_frame',\n 'submitted_frame',\n 'main_frame_aborted'\n]\n\ncurrent_frame_duration = 0\ntotal_frames = 0\nframe_id_to_start_ts = {}\n# Will contain tuples of frame_ids and their duration.\ncompleted_frame_id_and_duration = []\nfor trace in trace_json['traceEvents']:\n if 'PipelineReporter' in trace['name']:\n frame_id = trace['id']\n args = trace.get('args')\n if args and args.get('step') == 'BeginImplFrameToSendBeginMainFrame':\n frame_id_to_start_ts[frame_id] = trace['ts']\n elif args and (args.get('termination_status') in\n accepted_termination_statuses):\n if not frame_id_to_start_ts.get(frame_id):\n print '[No start ts found for %s]' % frame_id\n continue\n current_frame_duration = trace['ts'] - frame_id_to_start_ts[frame_id]\n total_frames += 1\n completed_frame_id_and_duration.append(\n (frame_id, current_frame_duration))\n # We are done with this frame_id so remove it from the dict.\n frame_id_to_start_ts.pop(frame_id)\n print '%d (%s with %s): %d' % (\n total_frames, frame_id, args['termination_status'],\n current_frame_duration)\n elif args and (args.get('termination_status') in\n erroneous_termination_statuses):\n # Invalidate previously collected results for this frame_id.\n if frame_id_to_start_ts.get(frame_id):\n print '[Invalidating %s due to %s]' % (\n frame_id, args['termination_status'])\n frame_id_to_start_ts.pop(frame_id)\n\ntotal_completed_frames = len(completed_frame_id_and_duration)\nif total_completed_frames < 25:\n raise Exception('Even with 2 loops found only %d frames' %\n total_completed_frames)\n\n# Get frame avg/min/max for the middle 25 frames.\nstart = (total_completed_frames - 25)/2\nprint 'Got %d total completed frames. Using start_index of %d.' % (\n total_completed_frames, start)\nframe_max = 0\nframe_min = 0\nframe_cumulative = 0\nfor frame_id, duration in completed_frame_id_and_duration[start:start+25]:\n frame_max = max(frame_max, duration)\n frame_min = min(frame_min, duration) if frame_min else duration\n frame_cumulative += duration\n\nperf_results = {}\nperf_results['frame_max_us'] = frame_max\nperf_results['frame_min_us'] = frame_min\nperf_results['frame_avg_us'] = frame_cumulative/25\nprint 'For 25 frames got: %s' % perf_results\n\n# Write perf_results to the output json.\nwith open(output_json_file, 'w') as f:\n f.write(json.dumps(perf_results))\n",
"[CLEANUP]/g3_try_tmp_1/lottie3.json",
"/path/to/tmp/json",
"lottie-web"
],
"env": {
"CHROME_HEADLESS": "1",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"name": "parse lottie3.json trace",
"~followup_annotations": [
"@@@STEP_LOG_LINE@json.output@{@@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_avg_us\": 179.71, @@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_max_us\": 218.25, @@@",
"@@@STEP_LOG_LINE@json.output@ \"frame_min_us\": 141.17@@@",
"@@@STEP_LOG_LINE@json.output@}@@@",
"@@@STEP_LOG_END@json.output@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@import json@@@",
"@@@STEP_LOG_LINE@python.inline@import sys@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@trace_output = sys.argv[1]@@@",
"@@@STEP_LOG_LINE@python.inline@with open(trace_output, 'r') as f:@@@",
"@@@STEP_LOG_LINE@python.inline@ trace_json = json.load(f)@@@",
"@@@STEP_LOG_LINE@python.inline@output_json_file = sys.argv[2]@@@",
"@@@STEP_LOG_LINE@python.inline@renderer = sys.argv[3] # Unused for now but might be useful in the future.@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Output data about the GPU that was used.@@@",
"@@@STEP_LOG_LINE@python.inline@print 'GPU data:'@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-gl-renderer')@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-driver')@@@",
"@@@STEP_LOG_LINE@python.inline@print trace_json['metadata'].get('gpu-gl-vendor')@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@erroneous_termination_statuses = [@@@",
"@@@STEP_LOG_LINE@python.inline@ 'replaced_by_new_reporter_at_same_stage',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'did_not_produce_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@]@@@",
"@@@STEP_LOG_LINE@python.inline@accepted_termination_statuses = [@@@",
"@@@STEP_LOG_LINE@python.inline@ 'missed_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'submitted_frame',@@@",
"@@@STEP_LOG_LINE@python.inline@ 'main_frame_aborted'@@@",
"@@@STEP_LOG_LINE@python.inline@]@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@current_frame_duration = 0@@@",
"@@@STEP_LOG_LINE@python.inline@total_frames = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_id_to_start_ts = {}@@@",
"@@@STEP_LOG_LINE@python.inline@# Will contain tuples of frame_ids and their duration.@@@",
"@@@STEP_LOG_LINE@python.inline@completed_frame_id_and_duration = []@@@",
"@@@STEP_LOG_LINE@python.inline@for trace in trace_json['traceEvents']:@@@",
"@@@STEP_LOG_LINE@python.inline@ if 'PipelineReporter' in trace['name']:@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id = trace['id']@@@",
"@@@STEP_LOG_LINE@python.inline@ args = trace.get('args')@@@",
"@@@STEP_LOG_LINE@python.inline@ if args and args.get('step') == 'BeginImplFrameToSendBeginMainFrame':@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts[frame_id] = trace['ts']@@@",
"@@@STEP_LOG_LINE@python.inline@ elif args and (args.get('termination_status') in@@@",
"@@@STEP_LOG_LINE@python.inline@ accepted_termination_statuses):@@@",
"@@@STEP_LOG_LINE@python.inline@ if not frame_id_to_start_ts.get(frame_id):@@@",
"@@@STEP_LOG_LINE@python.inline@ print '[No start ts found for %s]' % frame_id@@@",
"@@@STEP_LOG_LINE@python.inline@ continue@@@",
"@@@STEP_LOG_LINE@python.inline@ current_frame_duration = trace['ts'] - frame_id_to_start_ts[frame_id]@@@",
"@@@STEP_LOG_LINE@python.inline@ total_frames += 1@@@",
"@@@STEP_LOG_LINE@python.inline@ completed_frame_id_and_duration.append(@@@",
"@@@STEP_LOG_LINE@python.inline@ (frame_id, current_frame_duration))@@@",
"@@@STEP_LOG_LINE@python.inline@ # We are done with this frame_id so remove it from the dict.@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts.pop(frame_id)@@@",
"@@@STEP_LOG_LINE@python.inline@ print '%d (%s with %s): %d' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ total_frames, frame_id, args['termination_status'],@@@",
"@@@STEP_LOG_LINE@python.inline@ current_frame_duration)@@@",
"@@@STEP_LOG_LINE@python.inline@ elif args and (args.get('termination_status') in@@@",
"@@@STEP_LOG_LINE@python.inline@ erroneous_termination_statuses):@@@",
"@@@STEP_LOG_LINE@python.inline@ # Invalidate previously collected results for this frame_id.@@@",
"@@@STEP_LOG_LINE@python.inline@ if frame_id_to_start_ts.get(frame_id):@@@",
"@@@STEP_LOG_LINE@python.inline@ print '[Invalidating %s due to %s]' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id, args['termination_status'])@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_id_to_start_ts.pop(frame_id)@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@total_completed_frames = len(completed_frame_id_and_duration)@@@",
"@@@STEP_LOG_LINE@python.inline@if total_completed_frames < 25:@@@",
"@@@STEP_LOG_LINE@python.inline@ raise Exception('Even with 2 loops found only %d frames' %@@@",
"@@@STEP_LOG_LINE@python.inline@ total_completed_frames)@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Get frame avg/min/max for the middle 25 frames.@@@",
"@@@STEP_LOG_LINE@python.inline@start = (total_completed_frames - 25)/2@@@",
"@@@STEP_LOG_LINE@python.inline@print 'Got %d total completed frames. Using start_index of %d.' % (@@@",
"@@@STEP_LOG_LINE@python.inline@ total_completed_frames, start)@@@",
"@@@STEP_LOG_LINE@python.inline@frame_max = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_min = 0@@@",
"@@@STEP_LOG_LINE@python.inline@frame_cumulative = 0@@@",
"@@@STEP_LOG_LINE@python.inline@for frame_id, duration in completed_frame_id_and_duration[start:start+25]:@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_max = max(frame_max, duration)@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_min = min(frame_min, duration) if frame_min else duration@@@",
"@@@STEP_LOG_LINE@python.inline@ frame_cumulative += duration@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results = {}@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_max_us'] = frame_max@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_min_us'] = frame_min@@@",
"@@@STEP_LOG_LINE@python.inline@perf_results['frame_avg_us'] = frame_cumulative/25@@@",
"@@@STEP_LOG_LINE@python.inline@print 'For 25 frames got: %s' % perf_results@@@",
"@@@STEP_LOG_LINE@python.inline@@@@",
"@@@STEP_LOG_LINE@python.inline@# Write perf_results to the output json.@@@",
"@@@STEP_LOG_LINE@python.inline@with open(output_json_file, 'w') as f:@@@",
"@@@STEP_LOG_LINE@python.inline@ f.write(json.dumps(perf_results))@@@",
"@@@STEP_LOG_END@python.inline@@@"
]
},
{
"cmd": [
"python",
"-u",
"RECIPE_MODULE[recipe_engine::file]/resources/fileutil.py",
"--json-output",
"/path/to/tmp/json",
"rmtree",
"[CLEANUP]/g3_try_tmp_1"
],
"infra_step": true,
"name": "rmtree [CLEANUP]/g3_try_tmp_1"
},
{
"cmd": [
"python",
"-u",
"import os\nprint os.environ.get('SWARMING_BOT_ID', '')\n"
],
"name": "get swarming bot id",
"~followup_annotations": [
"@@@STEP_LOG_LINE@python.inline@import os@@@",
"@@@STEP_LOG_LINE@python.inline@print os.environ.get('SWARMING_BOT_ID', '')@@@",
"@@@STEP_LOG_END@python.inline@@@"
]
},
{
"cmd": [
"python",
"-u",
"import os\nprint os.environ.get('SWARMING_TASK_ID', '')\n"
],
"name": "get swarming task id",
"~followup_annotations": [
"@@@STEP_LOG_LINE@python.inline@import os@@@",
"@@@STEP_LOG_LINE@python.inline@print os.environ.get('SWARMING_TASK_ID', '')@@@",
"@@@STEP_LOG_END@python.inline@@@"
]
},
{
"cmd": [
"python",
"-u",
"RECIPE_MODULE[recipe_engine::file]/resources/fileutil.py",
"--json-output",
"/path/to/tmp/json",
"ensure-directory",
"--mode",
"0777",
"[START_DIR]/[SWARM_OUT_DIR]"
],
"infra_step": true,
"name": "makedirs perf_dir"
},
{
"cmd": [
"python",
"-u",
"import json\nwith open('[START_DIR]/[SWARM_OUT_DIR]/perf_abc123_1337000001.json', 'w') as outfile:\n json.dump(obj={'gitHash': 'abc123', 'results': {'lottie3.json': {'gl': {'frame_avg_us': 179.71, 'frame_max_us': 218.25, 'frame_min_us': 141.17}}, 'lottie1.json': {'gl': {'frame_avg_us': 179.71, 'frame_max_us': 218.25, 'frame_min_us': 141.17}}, 'lottie2.json': {'gl': {'frame_avg_us': 179.71, 'frame_max_us': 218.25, 'frame_min_us': 141.17}}}, 'patch_storage': 'gerrit', 'swarming_task_id': '', 'renderer': 'lottie-web', 'key': {'extra_config': 'LottieWeb_Canvas', 'bench_type': 'tracing', 'cpu_or_gpu_value': 'AVX2', 'arch': 'x86_64', 'source_type': 'lottie-web', 'cpu_or_gpu': 'CPU', 'model': 'GCE', 'configuration': 'Release', 'os': 'Debian9', 'compiler': 'none'}, 'swarming_bot_id': '', 'patchset': 7, 'issue': 1234}, fp=outfile, indent=4)\n"
],
"env": {
"CHROME_HEADLESS": "1",
"PATH": "<PATH>:RECIPE_REPO[depot_tools]"
},
"name": "write output JSON",
"~followup_annotations": [
"@@@STEP_LOG_LINE@python.inline@import json@@@",
"@@@STEP_LOG_LINE@python.inline@with open('[START_DIR]/[SWARM_OUT_DIR]/perf_abc123_1337000001.json', 'w') as outfile:@@@",
"@@@STEP_LOG_LINE@python.inline@ json.dump(obj={'gitHash': 'abc123', 'results': {'lottie3.json': {'gl': {'frame_avg_us': 179.71, 'frame_max_us': 218.25, 'frame_min_us': 141.17}}, 'lottie1.json': {'gl': {'frame_avg_us': 179.71, 'frame_max_us': 218.25, 'frame_min_us': 141.17}}, 'lottie2.json': {'gl': {'frame_avg_us': 179.71, 'frame_max_us': 218.25, 'frame_min_us': 141.17}}}, 'patch_storage': 'gerrit', 'swarming_task_id': '', 'renderer': 'lottie-web', 'key': {'extra_config': 'LottieWeb_Canvas', 'bench_type': 'tracing', 'cpu_or_gpu_value': 'AVX2', 'arch': 'x86_64', 'source_type': 'lottie-web', 'cpu_or_gpu': 'CPU', 'model': 'GCE', 'configuration': 'Release', 'os': 'Debian9', 'compiler': 'none'}, 'swarming_bot_id': '', 'patchset': 7, 'issue': 1234}, fp=outfile, indent=4)@@@",
"@@@STEP_LOG_END@python.inline@@@"
]
},
{
"name": "$result"
}
]

6
infra/bots/recipes/perf_skottiewasm_lottieweb.expected/lottie_web_perf.json
View File

@ -130,6 +130,8 @@
"cmd": [
"[START_DIR]/node/node/bin/node",
"[START_DIR]/cache/work/skia/tools/lottie-web-perf/lottie-web-perf.js",
"--backend",
"svg",
"--input",
"[START_DIR]/lottie-samples/lottie1.json",
"--output",
@ -257,6 +259,8 @@
"cmd": [
"[START_DIR]/node/node/bin/node",
"[START_DIR]/cache/work/skia/tools/lottie-web-perf/lottie-web-perf.js",
"--backend",
"svg",
"--input",
"[START_DIR]/lottie-samples/lottie2.json",
"--output",
@ -384,6 +388,8 @@
"cmd": [
"[START_DIR]/node/node/bin/node",
"[START_DIR]/cache/work/skia/tools/lottie-web-perf/lottie-web-perf.js",
"--backend",
"svg",
"--input",
"[START_DIR]/lottie-samples/lottie3.json",
"--output",

6
infra/bots/recipes/perf_skottiewasm_lottieweb.expected/lottie_web_perf_trybot.json
View File

@ -132,6 +132,8 @@
"cmd": [
"[START_DIR]/node/node/bin/node",
"[START_DIR]/cache/work/skia/tools/lottie-web-perf/lottie-web-perf.js",
"--backend",
"svg",
"--input",
"[START_DIR]/lottie-samples/lottie1.json",
"--output",
@ -259,6 +261,8 @@
"cmd": [
"[START_DIR]/node/node/bin/node",
"[START_DIR]/cache/work/skia/tools/lottie-web-perf/lottie-web-perf.js",
"--backend",
"svg",
"--input",
"[START_DIR]/lottie-samples/lottie2.json",
"--output",
@ -386,6 +390,8 @@
"cmd": [
"[START_DIR]/node/node/bin/node",
"[START_DIR]/cache/work/skia/tools/lottie-web-perf/lottie-web-perf.js",
"--backend",
"svg",
"--input",
"[START_DIR]/lottie-samples/lottie3.json",
"--output",

2
infra/bots/recipes/perf_skottiewasm_lottieweb.expected/unrecognized_builder.json
View File

@ -129,7 +129,7 @@
" arg_names, **additional_args)",
" File \"RECIPE_REPO[recipe_engine]/recipe_engine/internal/property_invoker.py\", in _invoke_with_properties",
" return callable_obj(*props, **additional_args)",
" File \"RECIPE_REPO[skia]/infra/bots/recipes/perf_skottiewasm_lottieweb.py\", line 77, in RunSteps",
" File \"RECIPE_REPO[skia]/infra/bots/recipes/perf_skottiewasm_lottieweb.py\", line 94, in RunSteps",
" raise Exception('Could not recognize the buildername %s' % buildername)",
"Exception: Could not recognize the buildername Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-All-Unrecognized"
]

63
infra/bots/recipes/perf_skottiewasm_lottieweb.py
View File

@ -39,6 +39,13 @@ LOTTIE_WEB_BLACKLIST = [
'lottiefiles.com - Retweet.json',
]
# These files work in SVG but not in Canvas.
LOTTIE_WEB_CANVAS_BLACKLIST = LOTTIE_WEB_BLACKLIST + [
'Hello World.json',
'interactive_menu.json',
'Name.json',
]
def RunSteps(api):
api.vars.setup()
@ -67,12 +74,22 @@ def RunSteps(api):
elif 'LottieWeb' in buildername:
source_type = 'lottie-web'
renderer = 'lottie-web'
if 'Canvas' in buildername:
backend = 'canvas'
lottie_files = [
x for x in lottie_files
if api.path.basename(x) not in LOTTIE_WEB_CANVAS_BLACKLIST]
else:
backend = 'svg'
lottie_files = [x for x in lottie_files
if api.path.basename(x) not in LOTTIE_WEB_BLACKLIST]
perf_app_dir = checkout_root.join('skia', 'tools', 'lottie-web-perf')
lottie_web_js_path = perf_app_dir.join('lottie-web-perf.js')
perf_app_cmd = [node_path, lottie_web_js_path]
lottie_files = [x for x in lottie_files
if api.path.basename(x) not in LOTTIE_WEB_BLACKLIST]
perf_app_cmd = [
node_path, lottie_web_js_path,
'--backend', backend,
]
else:
raise Exception('Could not recognize the buildername %s' % buildername)
@ -372,6 +389,46 @@ def GenTests(api):
api.json.output(parse_trace_json))
)
lottieweb_canvas_cpu_buildername = (
'Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-All-LottieWeb_Canvas')
yield (
api.test('lottie_web_canvas_perf') +
api.properties(buildername=lottieweb_canvas_cpu_buildername,
repository='https://skia.googlesource.com/skia.git',
revision='abc123',
path_config='kitchen',
trace_test_data=trace_output,
swarm_out_dir='[SWARM_OUT_DIR]') +
api.step_data('parse lottie1.json trace',
api.json.output(parse_trace_json)) +
api.step_data('parse lottie2.json trace',
api.json.output(parse_trace_json)) +
api.step_data('parse lottie3.json trace',
api.json.output(parse_trace_json))
)
yield (
api.test('lottie_web_canvas_perf_trybot') +
api.properties(buildername=lottieweb_canvas_cpu_buildername,
repository='https://skia.googlesource.com/skia.git',
revision='abc123',
path_config='kitchen',
trace_test_data=trace_output,
swarm_out_dir='[SWARM_OUT_DIR]',
patch_ref='89/456789/12',
patch_repo='https://skia.googlesource.com/skia.git',
patch_storage='gerrit',
patch_set=7,
patch_issue=1234,
gerrit_project='skia',
gerrit_url='https://skia-review.googlesource.com/') +
api.step_data('parse lottie1.json trace',
api.json.output(parse_trace_json)) +
api.step_data('parse lottie2.json trace',
api.json.output(parse_trace_json)) +
api.step_data('parse lottie3.json trace',
api.json.output(parse_trace_json))
)
unrecognized_buildername = ('Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-'
'All-Unrecognized')
yield (

350
infra/bots/tasks.json
View File

@ -1162,11 +1162,21 @@
"Upload-Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-All-LottieWeb"
]
},
"Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-All-LottieWeb_Canvas": {
"tasks": [
"Upload-Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-All-LottieWeb_Canvas"
]
},
"Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb": {
"tasks": [
"Upload-Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb"
]
},
"Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb_Canvas": {
"tasks": [
"Upload-Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb_Canvas"
]
},
"Perf-Mac10.13-Clang-MacBook10.1-GPU-IntelHD615-x86_64-Release-All": {
"tasks": [
"Upload-Perf-Mac10.13-Clang-MacBook10.1-GPU-IntelHD615-x86_64-Release-All"
@ -19495,6 +19505,108 @@
"perf"
]
},
"Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-All-LottieWeb_Canvas": {
"caches": [
{
"name": "vpython",
"path": "cache/vpython"
}
],
"cipd_packages": [
{
"name": "infra/tools/luci/kitchen/${platform}",
"path": ".",
"version": "git_revision:d8f38ca9494b5af249942631f9cee45927f6b4bc"
},
{
"name": "infra/tools/luci-auth/${platform}",
"path": "cipd_bin_packages",
"version": "git_revision:2c805f1c716f6c5ad2126b27ec88b8585a09481e"
},
{
"name": "infra/tools/luci/vpython/${platform}",
"path": "cipd_bin_packages",
"version": "git_revision:f96db4b66034c859090be3c47eb38227277f228b"
},
{
"name": "skia/bots/skimage",
"path": "skimage",
"version": "version:39"
},
{
"name": "skia/bots/skp",
"path": "skp",
"version": "version:196"
},
{
"name": "skia/bots/svg",
"path": "svg",
"version": "version:9"
},
{
"name": "skia/bots/node",
"path": "node",
"version": "version:1"
},
{
"name": "skia/bots/lottie-samples",
"path": "lottie-samples",
"version": "version:1"
},
{
"name": "infra/git/${platform}",
"path": "cipd_bin_packages",
"version": "version:2.17.1.chromium15"
},
{
"name": "infra/tools/git/${platform}",
"path": "cipd_bin_packages",
"version": "git_revision:c9c8a52bfeaf8bc00ece22fdfd447822c8fcad77"
},
{
"name": "infra/tools/luci/git-credential-luci/${platform}",
"path": "cipd_bin_packages",
"version": "git_revision:2c805f1c716f6c5ad2126b27ec88b8585a09481e"
}
],
"command": [
"cipd_bin_packages/vpython${EXECUTABLE_SUFFIX}",
"skia/infra/bots/run_recipe.py",
"${ISOLATED_OUTDIR}",
"perf_skottiewasm_lottieweb",
"{\"$kitchen\":{\"devshell\":true,\"git_auth\":true},\"buildbucket_build_id\":\"<(BUILDBUCKET_BUILD_ID)\",\"buildername\":\"Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-All-LottieWeb_Canvas\",\"patch_issue\":\"<(ISSUE)\",\"patch_ref\":\"<(PATCH_REF)\",\"patch_repo\":\"<(PATCH_REPO)\",\"patch_set\":\"<(PATCHSET)\",\"patch_storage\":\"<(PATCH_STORAGE)\",\"repository\":\"<(REPO)\",\"revision\":\"<(REVISION)\",\"swarm_out_dir\":\"perf\",\"task_id\":\"<(TASK_ID)\"}",
"skia"
],
"dependencies": [
"Housekeeper-PerCommit-BundleRecipes"
],
"dimensions": [
"cpu:x86-64-Haswell_GCE",
"machine_type:n1-standard-16",
"os:Debian-9.8",
"pool:Skia"
],
"env_prefixes": {
"PATH": [
"cipd_bin_packages",
"cipd_bin_packages/bin"
],
"VPYTHON_VIRTUALENV_ROOT": [
"cache/vpython"
]
},
"execution_timeout_ns": 14400000000000,
"expiration_ns": 72000000000000,
"extra_tags": {
"log_location": "logdog://logs.chromium.org/skia/${SWARMING_TASK_ID}/+/annotations"
},
"io_timeout_ns": 14400000000000,
"isolate": "perf_skia_bundled.isolate",
"max_attempts": 2,
"outputs": [
"perf"
]
},
"Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb": {
"caches": [
{
@ -19601,6 +19713,112 @@
"perf"
]
},
"Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb_Canvas": {
"caches": [
{
"name": "vpython",
"path": "cache/vpython"
}
],
"cipd_packages": [
{
"name": "infra/tools/luci/kitchen/${platform}",
"path": ".",
"version": "git_revision:d8f38ca9494b5af249942631f9cee45927f6b4bc"
},
{
"name": "infra/tools/luci-auth/${platform}",
"path": "cipd_bin_packages",
"version": "git_revision:2c805f1c716f6c5ad2126b27ec88b8585a09481e"
},
{
"name": "infra/tools/luci/vpython/${platform}",
"path": "cipd_bin_packages",
"version": "git_revision:f96db4b66034c859090be3c47eb38227277f228b"
},
{
"name": "skia/bots/skimage",
"path": "skimage",
"version": "version:39"
},
{
"name": "skia/bots/skp",
"path": "skp",
"version": "version:196"
},
{
"name": "skia/bots/svg",
"path": "svg",
"version": "version:9"
},
{
"name": "skia/bots/mesa_intel_driver_linux",
"path": "mesa_intel_driver_linux",
"version": "version:5"
},
{
"name": "skia/bots/node",
"path": "node",
"version": "version:1"
},
{
"name": "skia/bots/lottie-samples",
"path": "lottie-samples",
"version": "version:1"
},
{
"name": "infra/git/${platform}",
"path": "cipd_bin_packages",
"version": "version:2.17.1.chromium15"
},
{
"name": "infra/tools/git/${platform}",
"path": "cipd_bin_packages",
"version": "git_revision:c9c8a52bfeaf8bc00ece22fdfd447822c8fcad77"
},
{
"name": "infra/tools/luci/git-credential-luci/${platform}",
"path": "cipd_bin_packages",
"version": "git_revision:2c805f1c716f6c5ad2126b27ec88b8585a09481e"
}
],
"command": [
"cipd_bin_packages/vpython${EXECUTABLE_SUFFIX}",
"skia/infra/bots/run_recipe.py",
"${ISOLATED_OUTDIR}",
"perf_skottiewasm_lottieweb",
"{\"$kitchen\":{\"devshell\":true,\"git_auth\":true},\"buildbucket_build_id\":\"<(BUILDBUCKET_BUILD_ID)\",\"buildername\":\"Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb_Canvas\",\"patch_issue\":\"<(ISSUE)\",\"patch_ref\":\"<(PATCH_REF)\",\"patch_repo\":\"<(PATCH_REPO)\",\"patch_set\":\"<(PATCHSET)\",\"patch_storage\":\"<(PATCH_STORAGE)\",\"repository\":\"<(REPO)\",\"revision\":\"<(REVISION)\",\"swarm_out_dir\":\"perf\",\"task_id\":\"<(TASK_ID)\"}",
"skia"
],
"dependencies": [
"Housekeeper-PerCommit-BundleRecipes"
],
"dimensions": [
"gpu:8086:5926",
"os:Debian-9.4",
"pool:Skia"
],
"env_prefixes": {
"PATH": [
"cipd_bin_packages",
"cipd_bin_packages/bin"
],
"VPYTHON_VIRTUALENV_ROOT": [
"cache/vpython"
]
},
"execution_timeout_ns": 14400000000000,
"expiration_ns": 72000000000000,
"extra_tags": {
"log_location": "logdog://logs.chromium.org/skia/${SWARMING_TASK_ID}/+/annotations"
},
"io_timeout_ns": 14400000000000,
"isolate": "perf_skia_bundled.isolate",
"max_attempts": 2,
"outputs": [
"perf"
]
},
"Perf-Mac10.13-Clang-MacBook10.1-GPU-IntelHD615-x86_64-Release-All": {
"caches": [
{
@ -52632,6 +52850,72 @@
"max_attempts": 2,
"service_account": "skia-external-nano-uploader@skia-swarming-bots.iam.gserviceaccount.com"
},
"Upload-Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-All-LottieWeb_Canvas": {
"caches": [
{
"name": "vpython",
"path": "cache/vpython"
}
],
"cipd_packages": [
{
"name": "infra/tools/luci/kitchen/${platform}",
"path": ".",
"version": "git_revision:d8f38ca9494b5af249942631f9cee45927f6b4bc"
},
{
"name": "infra/tools/luci-auth/${platform}",
"path": "cipd_bin_packages",
"version": "git_revision:2c805f1c716f6c5ad2126b27ec88b8585a09481e"
},
{
"name": "infra/tools/luci/vpython/${platform}",
"path": "cipd_bin_packages",
"version": "git_revision:f96db4b66034c859090be3c47eb38227277f228b"
},
{
"name": "infra/gsutil",
"path": "cipd_bin_packages",
"version": "version:4.28"
}
],
"command": [
"cipd_bin_packages/vpython${EXECUTABLE_SUFFIX}",
"skia/infra/bots/run_recipe.py",
"${ISOLATED_OUTDIR}",
"upload_nano_results",
"{\"$kitchen\":{\"devshell\":true,\"git_auth\":true},\"buildbucket_build_id\":\"<(BUILDBUCKET_BUILD_ID)\",\"buildername\":\"Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-All-LottieWeb_Canvas\",\"gs_bucket\":\"skia-perf\",\"patch_issue\":\"<(ISSUE)\",\"patch_ref\":\"<(PATCH_REF)\",\"patch_repo\":\"<(PATCH_REPO)\",\"patch_set\":\"<(PATCHSET)\",\"patch_storage\":\"<(PATCH_STORAGE)\",\"repository\":\"<(REPO)\",\"revision\":\"<(REVISION)\",\"swarm_out_dir\":\"output_ignored\",\"task_id\":\"<(TASK_ID)\"}",
"skia"
],
"dependencies": [
"Housekeeper-PerCommit-BundleRecipes",
"Perf-Debian9-none-GCE-CPU-AVX2-x86_64-Release-All-LottieWeb_Canvas"
],
"dimensions": [
"cpu:x86-64-Haswell_GCE",
"gpu:none",
"machine_type:n1-highmem-2",
"os:Debian-9.8",
"pool:Skia"
],
"env_prefixes": {
"PATH": [
"cipd_bin_packages",
"cipd_bin_packages/bin"
],
"VPYTHON_VIRTUALENV_ROOT": [
"cache/vpython"
]
},
"execution_timeout_ns": 3600000000000,
"extra_tags": {
"log_location": "logdog://logs.chromium.org/skia/${SWARMING_TASK_ID}/+/annotations"
},
"io_timeout_ns": 3600000000000,
"isolate": "swarm_recipe.isolate",
"max_attempts": 2,
"service_account": "skia-external-nano-uploader@skia-swarming-bots.iam.gserviceaccount.com"
},
"Upload-Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb": {
"caches": [
{
@ -52698,6 +52982,72 @@
"max_attempts": 2,
"service_account": "skia-external-nano-uploader@skia-swarming-bots.iam.gserviceaccount.com"
},
"Upload-Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb_Canvas": {
"caches": [
{
"name": "vpython",
"path": "cache/vpython"
}
],
"cipd_packages": [
{
"name": "infra/tools/luci/kitchen/${platform}",
"path": ".",
"version": "git_revision:d8f38ca9494b5af249942631f9cee45927f6b4bc"
},
{
"name": "infra/tools/luci-auth/${platform}",
"path": "cipd_bin_packages",
"version": "git_revision:2c805f1c716f6c5ad2126b27ec88b8585a09481e"
},
{
"name": "infra/tools/luci/vpython/${platform}",
"path": "cipd_bin_packages",
"version": "git_revision:f96db4b66034c859090be3c47eb38227277f228b"
},
{
"name": "infra/gsutil",
"path": "cipd_bin_packages",
"version": "version:4.28"
}
],
"command": [
"cipd_bin_packages/vpython${EXECUTABLE_SUFFIX}",
"skia/infra/bots/run_recipe.py",
"${ISOLATED_OUTDIR}",
"upload_nano_results",
"{\"$kitchen\":{\"devshell\":true,\"git_auth\":true},\"buildbucket_build_id\":\"<(BUILDBUCKET_BUILD_ID)\",\"buildername\":\"Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb_Canvas\",\"gs_bucket\":\"skia-perf\",\"patch_issue\":\"<(ISSUE)\",\"patch_ref\":\"<(PATCH_REF)\",\"patch_repo\":\"<(PATCH_REPO)\",\"patch_set\":\"<(PATCHSET)\",\"patch_storage\":\"<(PATCH_STORAGE)\",\"repository\":\"<(REPO)\",\"revision\":\"<(REVISION)\",\"swarm_out_dir\":\"output_ignored\",\"task_id\":\"<(TASK_ID)\"}",
"skia"
],
"dependencies": [
"Housekeeper-PerCommit-BundleRecipes",
"Perf-Debian9-none-NUC7i5BNK-GPU-IntelIris640-x86_64-Release-All-LottieWeb_Canvas"
],
"dimensions": [
"cpu:x86-64-Haswell_GCE",
"gpu:none",
"machine_type:n1-highmem-2",
"os:Debian-9.8",
"pool:Skia"
],
"env_prefixes": {
"PATH": [
"cipd_bin_packages",
"cipd_bin_packages/bin"
],
"VPYTHON_VIRTUALENV_ROOT": [
"cache/vpython"
]
},
"execution_timeout_ns": 3600000000000,
"extra_tags": {
"log_location": "logdog://logs.chromium.org/skia/${SWARMING_TASK_ID}/+/annotations"
},
"io_timeout_ns": 3600000000000,
"isolate": "swarm_recipe.isolate",
"max_attempts": 2,
"service_account": "skia-external-nano-uploader@skia-swarming-bots.iam.gserviceaccount.com"
},
"Upload-Perf-Mac10.13-Clang-MacBook10.1-GPU-IntelHD615-x86_64-Release-All": {
"caches": [
{

85
tools/lottie-web-perf/lottie-web-canvas-perf.html Normal file
View File

@ -0,0 +1,85 @@
<!DOCTYPE html>
<html>
<head>
<title>Lottie-Web Perf</title>
<meta charset="utf-8" />
<meta http-equiv="X-UA-Compatible" content="IE=egde,chrome=1">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<script src="/res/lottie.js" type="text/javascript" charset="utf-8"></script>
<style type="text/css" media="screen">
body {
margin: 0;
padding: 0;
}
</style>
</head>
<body>
<main>
<canvas id=canvas width=1000 height=1000 style="height: 1000px; width: 1000px;"></canvas>
</main>
<script type="text/javascript" charset="utf-8">
(function () {
const PATH = '/res/lottie.json';
const RENDERER = 'canvas';
const MAX_FRAMES = 25;
const MAX_LOOPS = 3;
const cvs = document.getElementById("canvas");
const canvasContext = cvs.getContext('2d');
// Get total number of frames of the animation from the hash.
const hash = window.location.hash;
const totalFrames = hash.slice(1);
console.log("Lottie has " + totalFrames + "total frames");
// Load the animation with autoplay false. We will control which
// frame to seek to and then will measure performance.
let anim = lottie.loadAnimation({
container: document.querySelector('.anim'),
renderer: RENDERER,
loop: false,
autoplay: false,
path: PATH,
rendererSettings: {
context: canvasContext,
scaleMode: 'noScale',
clearCanvas: true,
preserveAspectRatio:'xMidYMid meet',
},
});
const t_rate = 1.0 / (MAX_FRAMES - 1);
let frame = 0;
let loop = 0;
const drawFrame = () => {
if (frame >= MAX_FRAMES) {
// Reached the end of one loop.
loop++;
if (loop == MAX_LOOPS) {
// These are global variables to talk with puppeteer.
window._lottieWebDone = true;
return;
}
// Reset frame to restart the loop.
frame = 0;
}
let t1 = Math.max(Math.min(t_rate * frame, 1.0), 0.0);
let seekToFrame = totalFrames * t1;
if (seekToFrame >= totalFrames-1) {
// bodymovin player sometimes draws blank when requesting
// to draw the very last frame. Subtracting a small value
// seems to fix this and make it draw the last frame.
seekToFrame -= .001;
}
anim.goToAndStop(seekToFrame, true /* isFrame */);
console.log("Used seek: " + (seekToFrame/totalFrames));
frame++;
window.requestAnimationFrame(drawFrame);
};
window.requestAnimationFrame(drawFrame);
})();
</script>
</body>
</html>

20
tools/lottie-web-perf/lottie-web-perf.js
View File

@ -36,6 +36,11 @@ const opts = [
description: 'The path to lottie.min.js, defaults to a local npm install location.',
type: String,
},
{
name: 'backend',
description: 'Which lottie-web backend to use. Options: canvas or svg.',
type: String,
},
{
name: 'help',
alias: 'h',
@ -58,6 +63,12 @@ const usage = [
// Parse and validate flags.
const options = commandLineArgs(opts);
if (options.backend != 'canvas' && options.backend != 'svg') {
console.error('You must supply a lottie-web backend (canvas, svg).');
console.log(commandLineUsage(usage));
process.exit(1);
}
if (!options.output) {
options.output = 'perf.json';
}
@ -81,8 +92,15 @@ if (!options.input) {
// Start up a web server to serve the three files we need.
let lottieJS = fs.readFileSync(options.lottie_player, 'utf8');
let driverHTML = fs.readFileSync('lottie-web-perf.html', 'utf8');
let lottieJSON = fs.readFileSync(options.input, 'utf8');
let driverHTML;
if (options.backend == 'svg') {
console.log('Using lottie-web-perf.html');
driverHTML = fs.readFileSync('lottie-web-perf.html', 'utf8');
} else {
console.log('Using lottie-web-canvas-perf.html');
driverHTML = fs.readFileSync('lottie-web-canvas-perf.html', 'utf8');
}
// Find number of frames from the lottie JSON.
let lottieJSONContent = JSON.parse(lottieJSON);