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import numpy as np | |
from scipy.sparse import dia_matrix | |
import timeit | |
def matches(a, b): | |
mask = dia_matrix((np.ones((1, a.size)).repeat(4, axis=0), np.arange(4)), | |
shape=(a.size, b.size), dtype=np.int) | |
matches = a[mask.T.dot(mask.dot(a == b) == 4).astype(np.bool)] | |
if __name__ == '__main__': |
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INFO:sagemaker:Creating training-job with name: sagemaker-mxnet-py2-cpu-{some date and time} | |
..................................................... | |
executing startup script (first run) | |
2017-12-05 18:42:47,306 INFO - root - running container entrypoint | |
2017-12-05 18:42:47,307 INFO - root - starting train task | |
2017-12-05 18:42:47,310 INFO - container_support.environment - starting metrics service | |
2017-12-05T18:42:47Z E! cloudwatch: Error in ListMetrics API call : AccessDenied: User: arn:aws:sts::338197679289:assumed-role/AmazonSageMaker-ExecutionRole-20171205T101659/SageMaker is not authorized to perform: cloudwatch:ListMetrics | |
#011status code: 403, request id: 16bf6256-d9ec-11e7-b9c8-2965f5af2d22 | |
2017-12-05T18:42:47Z E! Failed to connect to output cloudwatch, retrying in 15s, error was 'AccessDenied: User: arn:aws:sts::338197679289:assumed-role/AmazonSageMaker-ExecutionRole-20171205T101659/SageMaker is not authorized to perform: cloudwatch:ListMetrics | |
#011status code: 403, request id: 16bf6256-d9ec-11e |
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>>> from mxnet import nd | |
>>> a = nd.arange(20).reshape((10, 2)) | |
>>> b = nd.arange(10).reshape((10, 1)) | |
>>> nd.stack(a, b) | |
[12:09:05] /Users/travis/build/dmlc/mxnet-distro/mxnet-build/dmlc-core/include/dmlc/logging.h:308: [12:09:05] include/mxnet/./tensor_blob.h:276: Check failed: this->shape_.Size() == shape.Size() (10 vs. 20) TBlob.get_with_shape: new and old shape do not match total elements | |
Stack trace returned 10 entries: | |
[bt] (0) 0 libmxnet.so 0x000000010f0d1898 _ZN4dmlc15LogMessageFatalD2Ev + 40 | |
[bt] (1) 1 libmxnet.so 0x000000010f0f4797 _ZNK5mxnet5TBlob14get_with_shapeIN7mshadow3cpuELi3EfEENS2_6TensorIT_XT0_ET1_EERKNS2_5ShapeIXT0_EEEPNS2_6StreamIS5_EE + 807 | |
[bt] (2) 2 libmxnet.so 0x000000010ff0fd9f _ZN5mxnet2op14StackOpForwardIN7mshadow3cpuEEEvRKN4nnvm9NodeAttrsERKNS_9OpContextERKNSt3__16vectorINS_5TBlobENSB_9allocatorISD_EEEERKNSC_INS_9OpReqTypeENSE_ISJ_EEEESI_ + 5935 |
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INFO:sagemaker:Creating model with name: sagemaker-mxnet-py2-cpu-2018-01-17-20-52-52-599 | |
--------------------------------------------------------------------------- | |
ClientError Traceback (most recent call last) | |
<ipython-input-11-40815f86459d> in <module>() | |
----> 1 predictor = m.deploy(initial_instance_count=1, instance_type='ml.m4.xlarge') | |
~/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/sagemaker/estimator.py in deploy(self, initial_instance_count, instance_type, endpoint_name, **kwargs) | |
183 instance_type=instance_type, | |
184 initial_instance_count=initial_instance_count, | |
--> 185 endpoint_name=endpoint_name) |
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[21:02:50] /tmp/mxnet/dmlc-core/include/dmlc/./logging.h:308: [21:02:50] src/core/pass.cc:43: Graph attr dependency shape is required by pass PlanMemory but is not available The attribute is provided by pass InferShape | |
Stack trace returned 10 entries: | |
[bt] (0) /usr/local/lib/python2.7/dist-packages/mxnet-0.12.1-py2.7.egg/mxnet/libmxnet.so(_ZN4nnvm11ApplyPassesENS_5GraphERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EE+0x1003) [0x7fc2616fe653] | |
[bt] (1) /usr/local/lib/python2.7/dist-packages/mxnet-0.12.1-py2.7.egg/mxnet/libmxnet.so(_ZN4nnvm9ApplyPassENS_5GraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE+0xca) [0x7fc26109de0a] | |
[bt] (2) /usr/local/lib/python2.7/dist-packages/mxnet-0.12.1-py2.7.egg/mxnet/libmxnet.so(_ZN5mxnet10imperative10PlanMemoryEPN4nnvm5GraphEOSt6vectorIiSaIiEERKS4_IjSaIjEERKSt4pairIjjESF_+0x2a5) [0x7fc2610a5565] | |
[bt] (3) /usr/local/lib/python2.7/dist-packages/mxnet-0.12.1-py2.7.egg/mxnet/libmxnet.so(_ZN5mxnet10Imperative8CachedOp15GetForwardGraphEbRKSt6vect |
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#!/bin/bash | |
sudo networksetup -setsocksfirewallproxy "Wi-Fi" localhost 9990 | |
echo "SOCKS ON" | |
ssh -N acsweb | |
sudo networksetup -setsocksfirewallproxy "Wi-Fi" "" "" | |
sudo networksetup -setsocksfirewallproxystate "Wi-Fi" off | |
echo "SOCKS OFF" |
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from flask import Flask, jsonify | |
app = Flask(__name__) | |
@app.route("/") | |
def root(): | |
return """ | |
<html> | |
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script> | |
<script> | |
function forward() { $.ajax({url: "/forward"}) } |
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$ git rebase --root -ix "python -c 'exit(0 if \"A\" in open(\"A\").read() else 1)' && echo \$(git rev-parse --short HEAD) SUCCESS | |
|| echo \$(git rev-parse --short HEAD) FAILURE" | |
Executing: python -c 'exit(0 if "A" in open("A").read() else 1)' && echo $(git rev-parse --short HEAD) SUCCESS || echo $(git rev-parse --short HEAD) FAILURE | |
aa65917 SUCCESS | |
Executing: python -c 'exit(0 if "A" in open("A").read() else 1)' && echo $(git rev-parse --short HEAD) SUCCESS || echo $(git rev-parse --short HEAD) FAILURE | |
e9ab646 FAILURE | |
Executing: python -c 'exit(0 if "A" in open("A").read() else 1)' && echo $(git rev-parse --short HEAD) SUCCESS || echo $(git rev-parse --short HEAD) FAILURE | |
8d10833 FAILURE |
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import sympy as sp | |
import numpy as np | |
terms, max_pow = 2, 2 | |
q, p = sp.Indexed('q', i), sp.Indexed('p', i) | |
H = sp.Sum(q**2 + p**2, (i, 0, terms-1)).doit() | |
def pbrackets(f, g): | |
return sp.Sum(f.diff(q)*g.diff(p) - f.diff(p)*g.diff(q), (i, 0, terms-1)).doit().simplify() |
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AWSTemplateFormatVersion: '2010-09-09' | |
Resources: | |
VPC: | |
Type: AWS::EC2::VPC | |
Properties: | |
CidrBlock: 10.0.0.0/16 | |
EnableDnsSupport: true | |
EnableDnsHostnames: true |
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