Changed the 'custom-setup' dependency on 'Cabal' from

>=1.24

>=1.24 && <3

Changed description from

The CUDA library provides a direct, general purpose C-like SPMD programming
model for NVIDIA graphics cards (G8x series onwards). This is a collection
of bindings to allow you to call and control, although not write, such
functions from Haskell-land. You will need to install the CUDA driver and
developer toolkit.

<http://developer.nvidia.com/cuda-downloads>

The setup script will look for your CUDA installation by checking, in the
following order:

1. The @CUDA_PATH@ environment variable

2. Searching for @nvcc@ on the @PATH@

3. Checking at @\/usr\/local\/cuda@

4. @CUDA_PATH_Vx_y@ environment variable, for recent CUDA toolkit versions x.y

This library provides bindings to both the CUDA Driver and Runtime APIs. To
get started, see one of:

* "Foreign.CUDA.Driver" (a short tutorial is available here)

* "Foreign.CUDA.Runtime"

Tested with library versions up to CUDA-9.2. See also the
<https://travis-ci.org/tmcdonell/cuda travis-ci.org> build matrix for
version compatibility.

[/NOTES:/]

The setup script for this package requires at least Cabal-1.24. To upgrade,
execute one of:

* cabal users: @cabal install Cabal --constraint="Cabal >= 1.24"@

* stack users: @stack setup --upgrade-cabal@

Due to an interaction between GHC-8 and unified virtual address spaces in
CUDA, this package does not currently work with GHCi on ghc-8.0.1 (compiled
programs should work). See the following for more details:

* <https://github.com/tmcdonell/cuda/issues/39>

* <https://ghc.haskell.org/trac/ghc/ticket/12573>

The bug should be fixed in ghc-8.0.2 and beyond.

For additional notes on installing on Windows, see:

* <https://github.com/tmcdonell/cuda/blob/master/WINDOWS.md>

The CUDA library provides a direct, general purpose C-like SPMD programming
model for NVIDIA graphics cards (G8x series onwards). This is a collection
of bindings to allow you to call and control, although not write, such
functions from Haskell-land. You will need to install the CUDA driver and
developer toolkit.

<http://developer.nvidia.com/cuda-downloads>

The setup script will look for your CUDA installation by checking, in the
following order:

1. The @CUDA_PATH@ environment variable

2. Searching for @nvcc@ on the @PATH@

3. Checking at @\/usr\/local\/cuda@

4. @CUDA_PATH_Vx_y@ environment variable, for recent CUDA toolkit versions x.y

This library provides bindings to both the CUDA Driver and Runtime APIs. To
get started, see one of:

* "Foreign.CUDA.Driver" (a short tutorial is available here)

* "Foreign.CUDA.Runtime"

Tested with library versions up to CUDA-10.1. See also the
<https://travis-ci.org/tmcdonell/cuda travis-ci.org> build matrix for
version compatibility.

[/NOTES:/]

The setup script for this package requires at least Cabal-1.24. To upgrade,
execute one of:

* cabal users: @cabal install Cabal --constraint="Cabal >= 1.24"@

* stack users: @stack setup --upgrade-cabal@

Due to an interaction between GHC-8 and unified virtual address spaces in
CUDA, this package does not currently work with GHCi on ghc-8.0.1 (compiled
programs should work). See the following for more details:

* <https://github.com/tmcdonell/cuda/issues/39>

* <https://ghc.haskell.org/trac/ghc/ticket/12573>

The bug should be fixed in ghc-8.0.2 and beyond.

For additional notes on installing on Windows, see:

* <https://github.com/tmcdonell/cuda/blob/master/WINDOWS.md>