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| @@ -1,3 +1,3 @@ | ||
| docker build -t "attngan" . | ||
| docker build -t "attngan" -f dockerfile.cpu . | ||
| REM docker run -it -e BLOB_KEY=KEY -p 5678:8080 attngan | ||
| REM curl -H "Content-Type: application/json" -X POST -d '{"caption":"the bird has a yellow crown and a black eyering that is round"}' https://attgan.azurewebsites.net/api/v1.0/bird |
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| FROM nvidia/cuda | ||
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| RUN apt-get update \ | ||
| && apt-get upgrade -y \ | ||
| && apt-get install -y \ | ||
| python-pip \ | ||
| python2.7 \ | ||
| && apt-get autoremove \ | ||
| && apt-get clean | ||
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| RUN mkdir -p /usr/src/app | ||
| WORKDIR /usr/src/app | ||
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| COPY requirements.txt /usr/src/app/ | ||
| RUN pip install --upgrade pip | ||
| RUN pip install --no-cache-dir -r requirements.txt | ||
| RUN pip install http://download.pytorch.org/whl/cu90/torch-0.3.1-cp27-cp27mu-linux_x86_64.whl | ||
| RUN pip install torchvision | ||
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| COPY . /usr/src/app | ||
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| ENV NVIDIA_VISIBLE_DEVICES all | ||
| ENV NVIDIA_DRIVER_CAPABILITIES compute,utility | ||
| ENV GPU True | ||
| ENV EXPORT_MODEL False | ||
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| EXPOSE 8080 | ||
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| CMD ["python", "main.py"] |
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| @@ -1,35 +1,93 @@ | ||
| #!flask/bin/python | ||
| import os | ||
| import time | ||
| import random | ||
| from eval import * | ||
| from flask import Flask, jsonify, request, abort | ||
| from applicationinsights import TelemetryClient | ||
| from applicationinsights.requests import WSGIApplication | ||
| from applicationinsights.exceptions import enable | ||
| from miscc.config import cfg | ||
| from werkzeug.contrib.profiler import ProfilerMiddleware | ||
| #from werkzeug.contrib.profiler import ProfilerMiddleware | ||
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| enable(os.environ["TELEMETRY"]) | ||
| app = Flask(__name__) | ||
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| # load word dictionaries | ||
| wordtoix, ixtoword = word_index() | ||
| # lead models | ||
| text_encoder, netG = models(len(wordtoix)) | ||
| # load blob service | ||
| blob_service = BlockBlobService(account_name='attgan', account_key=os.environ["BLOB_KEY"]) | ||
| app.wsgi_app = WSGIApplication(os.environ["TELEMETRY"], app.wsgi_app) | ||
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| @app.route('/api/v1.0/bird', methods=['POST']) | ||
| def create_bird(): | ||
| if not request.json or not 'caption' in request.json: | ||
| abort(400) | ||
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| response = eval(request.json['caption']) | ||
| caption = request.json['caption'] | ||
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| t0 = time.time() | ||
| urls = generate(caption, wordtoix, ixtoword, text_encoder, netG, blob_service) | ||
| t1 = time.time() | ||
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| response = { | ||
| 'small': urls[0], | ||
| 'medium': urls[1], | ||
| 'large': urls[2], | ||
| 'map1': urls[3], | ||
| 'map2': urls[4], | ||
| 'caption': caption, | ||
| 'elapsed': t1 - t0 | ||
| } | ||
| return jsonify({'bird': response}), 201 | ||
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| @app.route('/api/v1.0/birds', methods=['POST']) | ||
| def create_birds(): | ||
| if not request.json or not 'caption' in request.json: | ||
| abort(400) | ||
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| caption = request.json['caption'] | ||
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| t0 = time.time() | ||
| urls = generate(caption, wordtoix, ixtoword, text_encoder, netG, blob_service, copies=6) | ||
| t1 = time.time() | ||
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| response = { | ||
| 'bird1' : { 'small': urls[0], 'medium': urls[1], 'large': urls[2] }, | ||
| 'bird2' : { 'small': urls[3], 'medium': urls[4], 'large': urls[5] }, | ||
| 'bird3' : { 'small': urls[6], 'medium': urls[7], 'large': urls[8] }, | ||
| 'bird4' : { 'small': urls[9], 'medium': urls[10], 'large': urls[11] }, | ||
| 'bird5' : { 'small': urls[12], 'medium': urls[13], 'large': urls[14] }, | ||
| 'bird6' : { 'small': urls[15], 'medium': urls[16], 'large': urls[17] }, | ||
| 'caption': caption, | ||
| 'elapsed': t1 - t0 | ||
| } | ||
| return jsonify({'bird': response}), 201 | ||
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| @app.route('/', methods=['GET']) | ||
| def get_bird(): | ||
| return 'hello!' | ||
| return 'Version 1' | ||
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| if __name__ == '__main__': | ||
| app.config['PROFILE'] = True | ||
| app.wsgi_app = ProfilerMiddleware(app.wsgi_app, restrictions=[30]) | ||
| app.run(host='0.0.0.0', port=8080, debug=True) | ||
| t0 = time.time() | ||
| tc = TelemetryClient(os.environ["TELEMETRY"]) | ||
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| # gpu based | ||
| cfg.CUDA = os.environ["GPU"].lower() == 'true' | ||
| tc.track_event('container initializing', {"CUDA": str(cfg.CUDA)}) | ||
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| # load word dictionaries | ||
| wordtoix, ixtoword = word_index() | ||
| # lead models | ||
| text_encoder, netG = models(len(wordtoix)) | ||
| # load blob service | ||
| blob_service = BlockBlobService(account_name='attgan', account_key=os.environ["BLOB_KEY"]) | ||
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| seed = 100 | ||
| random.seed(seed) | ||
| np.random.seed(seed) | ||
| torch.manual_seed(seed) | ||
| if cfg.CUDA: | ||
| torch.cuda.manual_seed_all(seed) | ||
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| #app.config['PROFILE'] = True | ||
| #app.wsgi_app = ProfilerMiddleware(app.wsgi_app, restrictions=[30]) | ||
| #app.run(host='0.0.0.0', port=8080, debug = True) | ||
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| t1 = time.time() | ||
| tc.track_event('container start', {"starttime": str(t1-t0)}) | ||
| app.run(host='0.0.0.0', port=8080) |
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