<filename>var/spack/repos/builtin/packages/py-torchsummary/package.py<gh_stars>0
# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)


class PyTorchsummary(PythonPackage):
    """Keras has a neat API to view the visualization of the model
    which is very helpful while debugging your network. Here is a
    barebone code to try and mimic the same in PyTorch. The aim is to
    provide information complementary to, what is not provided by
    print(your_model) in PyTorch."""

    homepage = "https://github.com/sksq96/pytorch-summary"
    pypi = "torchsummary/torchsummary-1.5.1.tar.gz"

    version('1.5.1', sha256='981bf689e22e0cf7f95c746002f20a24ad26aa6b9d861134a14bc6ce92230590')

    depends_on('py-setuptools', type='build')
    depends_on('py-torch', type=('build', 'run'))
    depends_on('py-numpy', type=('build', 'run'))

<filename>var/spack/repos/builtin/packages/py-torchsummary/package.py<gh_stars>0
# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)


class PyTorchsummary(PythonPackage):
    """Keras has a neat API to view the visualization of the model
    which is very helpful while debugging your network. Here is a
    barebone code to try and mimic the same in PyTorch. The aim is to
    provide information complementary to, what is not provided by
    print(your_model) in PyTorch."""

    homepage = "https://github.com/sksq96/pytorch-summary"
    pypi = "torchsummary/torchsummary-1.5.1.tar.gz"

    version('1.5.1', sha256='981bf689e22e0cf7f95c746002f20a24ad26aa6b9d861134a14bc6ce92230590')

    depends_on('py-setuptools', type='build')
    depends_on('py-torch', type=('build', 'run'))
    depends_on('py-numpy', type=('build', 'run'))

# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) Keras has a neat API to view the visualization of the model     which is very helpful while debugging your network. Here is a     barebone code to try and mimic the same in PyTorch. The aim is to     provide information complementary to, what is not provided by     print(your_model) in PyTorch.