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Problem with installing dependancies

Open raoden1 opened this issue 6 years ago • 4 comments

I cannot install dependancies:

**conda env create -f env.yml**

Solving environment: failed

ResolvePackageNotFound: 
  - python==3.6.5=hc167b69_0
  - xz==5.2.3=h0278029_2
  - numpy==1.12.1=py36h8871d66_1
  - zlib==1.2.11=hf3cbc9b_2
  - six==1.11.0=py36h0e22d5e_1
  - readline==7.0=hc1231fa_4
  - sqlite==3.23.1=hf1716c9_0
  - libgfortran==3.0.1=h93005f0_2
  - libedit==3.1=hb4e282d_0
  - pyyaml==3.12=py36h2ba1e63_1
  - libffi==3.2.1=h475c297_4
  - hdf5==1.10.1=ha036c08_1
  - protobuf==3.5.2=py36h0a44026_0
  - libprotobuf==3.5.2=h2cd40f5_0
  - libcxx==4.0.1=h579ed51_0
  - scipy==1.0.1=py36hcaad992_0
  - openssl==1.0.2o=h26aff7b_0
  - libcxxabi==4.0.1=hebd6815_0
  - yaml==0.1.7=hc338f04_2
  - pandas==0.22.0=py36h0a44026_0
  - tk==8.6.7=h35a86e2_3
  - h5py==2.7.1=py36h39cdac5_0
  - ncurses==6.0=hd04f020_2a

raoden1 avatar Nov 21 '18 21:11 raoden1

Seems to same the same problem, with anaconda python 3.7 on Ubuntu 18.04, so changed the export file as follows:

`name: drlts channels:

  • conda-forge
  • bioconda
  • bokeh
  • defaults dependencies:
    • ca-certificates=2018.03.07
    • certifi=2018.4.16
    • h5py=2.7.1
    • hdf5=1.10.1
    • intel-openmp=2018.0.0
    • keras=2.1.5
    • libcxx
    • libedit=3.1
    • libffi=3.2.1
    • libgfortran
    • libprotobuf=3.5.2
    • mkl=2018.0.2
    • ncurses=6.0
    • numpy=1.12.1
    • openssl=1.0.2o
    • pandas=0.22.0
    • pip=9.0.3
    • protobuf=3.5.2
    • python=3.6.5
    • python-dateutil=2.7.2
    • pytz=2018.4
    • pyyaml=3.12
    • readline=7.0
    • scipy=1.0.1
    • setuptools=39.0.1
    • six=1.11.0
    • sqlite=3.23.1
    • tensorflow=1.1.0
    • tk=8.6.7
    • werkzeug=0.14.1
    • wheel=0.31.0
    • xz=5.2.3
    • yaml=0.1.7
    • zlib=1.2.11 `

OsandaG avatar Mar 04 '19 12:03 OsandaG

Think Theano will need to be complied on your local system

OsandaG avatar Mar 04 '19 12:03 OsandaG

I created a simple google colab file from this implementation, so you can easily run it with your own google drive and colab.

  1. Just copy the entire directory from this github to your google drive directory.
  2. Copy the google colab file I created.
  3. Change the "google_drive_directory_path" value to your own google drive directory.
  4. Use python 3 and GPU accelerator.
  5. Run the code.

https://colab.research.google.com/drive/1GMxAUdpU38DFOsSL4r0AglpdIe00YpAP

Tell me if you have any problem running the code, Greg

greg2paris avatar Mar 30 '19 09:03 greg2paris

I didn't find your train/ test/ folder used in your notebook

zhongkeshuanghe avatar Aug 01 '19 00:08 zhongkeshuanghe