Delete crude patch for removing benchmarks

2 files changed, 0 insertions, 232 deletions

diff --git a/debian/patches/0001-Remove-benchmarks-to-prevent-installation-in-wrong-p.patch b/debian/patches/0001-Remove-benchmarks-to-prevent-installation-in-wrong-p.patch
deleted file mode 100644
index 28ae7d5..0000000
--- a/debian/patches/0001-Remove-benchmarks-to-prevent-installation-in-wrong-p.patch
+++ /dev/null
@@ -1,231 +0,0 @@
-From: Gard Spreemann <gspr@nonempty.org>
-Date: Fri, 31 Dec 2021 10:46:27 +0100
-Subject: Remove benchmarks to prevent installation in wrong path
-
----
- benchmarks/__init__.py       |   5 ---
- benchmarks/benchmark.py      | 105 -------------------------------------------
- benchmarks/emd.py            |  40 -----------------
- benchmarks/sinkhorn_knopp.py |  42 -----------------
- 4 files changed, 192 deletions(-)
- delete mode 100644 benchmarks/__init__.py
- delete mode 100644 benchmarks/benchmark.py
- delete mode 100644 benchmarks/emd.py
- delete mode 100644 benchmarks/sinkhorn_knopp.py
-
-diff --git a/benchmarks/__init__.py b/benchmarks/__init__.py
-deleted file mode 100644
-index 37f5e56..0000000
---- a/benchmarks/__init__.py
-+++ /dev/null
-@@ -1,5 +0,0 @@
--from . import benchmark
--from . import sinkhorn_knopp
--from . import emd
--
--__all__= ["benchmark", "sinkhorn_knopp", "emd"]
-diff --git a/benchmarks/benchmark.py b/benchmarks/benchmark.py
-deleted file mode 100644
-index 7973c6b..0000000
---- a/benchmarks/benchmark.py
-+++ /dev/null
-@@ -1,105 +0,0 @@
--# /usr/bin/env python3
--# -*- coding: utf-8 -*-
--
--from ot.backend import get_backend_list, jax, tf
--import gc
--
--
--def setup_backends():
--    if jax:
--        from jax.config import config
--        config.update("jax_enable_x64", True)
--
--    if tf:
--        from tensorflow.python.ops.numpy_ops import np_config
--        np_config.enable_numpy_behavior()
--
--
--def exec_bench(setup, tested_function, param_list, n_runs, warmup_runs):
--    backend_list = get_backend_list()
--    for i, nx in enumerate(backend_list):
--        if nx.__name__ == "tf" and i < len(backend_list) - 1:
--            # Tensorflow should be the last one to be benchmarked because
--            # as far as I'm aware, there is no way to force it to release
--            # GPU memory. Hence, if any other backend is benchmarked after
--            # Tensorflow and requires the usage of a GPU, it will not have the
--            # full memory available and you may have a GPU Out Of Memory error
--            # even though your GPU can technically hold your tensors in memory.
--            backend_list.pop(i)
--            backend_list.append(nx)
--            break
--
--    inputs = [setup(param) for param in param_list]
--    results = dict()
--    for nx in backend_list:
--        for i in range(len(param_list)):
--            print(nx, param_list[i])
--            args = inputs[i]
--            results_nx = nx._bench(
--                tested_function,
--                *args,
--                n_runs=n_runs,
--                warmup_runs=warmup_runs
--            )
--            gc.collect()
--            results_nx_with_param_in_key = dict()
--            for key in results_nx:
--                new_key = (param_list[i], *key)
--                results_nx_with_param_in_key[new_key] = results_nx[key]
--            results.update(results_nx_with_param_in_key)
--    return results
--
--
--def convert_to_html_table(results, param_name, main_title=None, comments=None):
--    string = "<table>\n"
--    keys = list(results.keys())
--    params, names, devices, bitsizes = zip(*keys)
--
--    devices_names = sorted(list(set(zip(devices, names))))
--    params = sorted(list(set(params)))
--    bitsizes = sorted(list(set(bitsizes)))
--    length = len(devices_names) + 1
--    cpus_cols = list(devices).count("CPU") / len(bitsizes) / len(params)
--    gpus_cols = list(devices).count("GPU") / len(bitsizes) / len(params)
--    assert cpus_cols + gpus_cols == len(devices_names)
--
--    if main_title is not None:
--        string += f'<tr><th align="center" colspan="{length}">{str(main_title)}</th></tr>\n'
--
--    for i, bitsize in enumerate(bitsizes):
--
--        if i != 0:
--            string += f'<tr><td colspan="{length}">&nbsp;</td></tr>\n'
--
--        # make bitsize header
--        text = f"{bitsize} bits"
--        if comments is not None:
--            text += " - "
--            if isinstance(comments, (tuple, list)) and len(comments) == len(bitsizes):
--                text += str(comments[i])
--            else:
--                text += str(comments)
--        string += f'<tr><th align="center">Bitsize</th>'
--        string += f'<th align="center" colspan="{length - 1}">{text}</th></tr>\n'
--
--        # make device header
--        string += f'<tr><th align="center">Device</th>'
--        string += f'<th align="center" colspan="{cpus_cols}">CPU</th>'
--        string += f'<th align="center" colspan="{gpus_cols}">GPU</th></tr>\n'
--
--        # make param_name / backend header
--        string += f'<tr><th align="center">{param_name}</th>'
--        for device, name in devices_names:
--            string += f'<th align="center">{name}</th>'
--        string += "</tr>\n"
--
--        # make results rows
--        for param in params:
--            string += f'<tr><td align="center">{param}</td>'
--            for device, name in devices_names:
--                key = (param, name, device, bitsize)
--                string += f'<td align="center">{results[key]:.4f}</td>'
--            string += "</tr>\n"
--
--    string += "</table>"
--    return string
-diff --git a/benchmarks/emd.py b/benchmarks/emd.py
-deleted file mode 100644
-index 9f64863..0000000
---- a/benchmarks/emd.py
-+++ /dev/null
-@@ -1,40 +0,0 @@
--# /usr/bin/env python3
--# -*- coding: utf-8 -*-
--
--import numpy as np
--import ot
--from .benchmark import (
--    setup_backends,
--    exec_bench,
--    convert_to_html_table
--)
--
--
--def setup(n_samples):
--    rng = np.random.RandomState(789465132)
--    x = rng.randn(n_samples, 2)
--    y = rng.randn(n_samples, 2)
--
--    a = ot.utils.unif(n_samples)
--    M = ot.dist(x, y)
--    return a, M
--
--
--if __name__ == "__main__":
--    n_runs = 100
--    warmup_runs = 10
--    param_list = [50, 100, 500, 1000, 2000, 5000]
--
--    setup_backends()
--    results = exec_bench(
--        setup=setup,
--        tested_function=lambda a, M: ot.emd(a, a, M),
--        param_list=param_list,
--        n_runs=n_runs,
--        warmup_runs=warmup_runs
--    )
--    print(convert_to_html_table(
--        results, 
--        param_name="Sample size",
--        main_title=f"EMD - Averaged on {n_runs} runs"
--    ))
-diff --git a/benchmarks/sinkhorn_knopp.py b/benchmarks/sinkhorn_knopp.py
-deleted file mode 100644
-index 3a1ef3f..0000000
---- a/benchmarks/sinkhorn_knopp.py
-+++ /dev/null
-@@ -1,42 +0,0 @@
--# /usr/bin/env python3
--# -*- coding: utf-8 -*-
--
--import numpy as np
--import ot
--from .benchmark import (
--    setup_backends,
--    exec_bench,
--    convert_to_html_table
--)
--
--
--def setup(n_samples):
--    rng = np.random.RandomState(123456789)
--    a = rng.rand(n_samples // 4, 100)
--    b = rng.rand(n_samples, 100)
--
--    wa = ot.unif(n_samples // 4)
--    wb = ot.unif(n_samples)
--
--    M = ot.dist(a.copy(), b.copy())
--    return wa, wb, M
--
--
--if __name__ == "__main__":
--    n_runs = 100
--    warmup_runs = 10
--    param_list = [50, 100, 500, 1000, 2000, 5000]
--
--    setup_backends()
--    results = exec_bench(
--        setup=setup,
--        tested_function=lambda *args: ot.bregman.sinkhorn(*args, reg=1, stopThr=1e-7),
--        param_list=param_list,
--        n_runs=n_runs,
--        warmup_runs=warmup_runs
--    )
--    print(convert_to_html_table(
--        results, 
--        param_name="Sample size",
--        main_title=f"Sinkhorn Knopp - Averaged on {n_runs} runs"
--    ))
diff --git a/debian/patches/series b/debian/patches/series
deleted file mode 100644
index a82b8eb..0000000
--- a/debian/patches/series
+++ /dev/null
@@ -1 +0,0 @@
-0001-Remove-benchmarks-to-prevent-installation-in-wrong-p.patch