[brief] Pin the minimum version of Numpy to 2.0.0.

[detailed]
- With the release of PyTorch 2.4.1, we can now safely pin the numpy
  version across all platforms.

pyproject.toml

@@ -23,13 +23,12 @@ dependencies = [
     "tqdm>=4.66.2",
     "opencv-python>=4.10.0.84",
     "tensorboard>=2.17.1",
-    "torch>=2.4.0",
-    "torchvision>=0.19.0",
+    "torch>=2.4.1",
+    "torchvision>=0.19.1",
     "onnx>=1.16.1",
     "onnxruntime>=1.19.0",
     "matplotlib>=3.8.4",
-    "numpy<2.0.0; sys_platform=='win32'",
-    "numpy" # <- Pin this to >= 2.0.0 once torch 2.4.1 has been released.
+    "numpy>=2.0.0",
 ]
 
 dynamic = ["version"]

requirements/ci.txt

@@ -3,17 +3,16 @@
 build>=1.2.1
 matplotlib>=3.8.4
 mypy>=1.8.0
-numpy
-numpy<2.0.0; sys_platform=='win32'
+numpy>=2.0.0
 onnx>=1.16.1
 onnxruntime>=1.19.0
 opencv-python>=4.10.0.84
 optuna>=3.6.1
 pytest>=8.1.1
 ruff>=0.3.4
 tensorboard>=2.17.1
-torch>=2.4.0
-torchvision>=0.19.0
+torch>=2.4.1
+torchvision>=0.19.1
 tqdm>=4.66.2
 types-Pillow>=10.2.0.20240311
 types-tqdm>=4.66.0.20240106

requirements/default.txt

@@ -1,12 +1,11 @@
 # Generated via tools/generate_requirements.py and pre-commit hook.
 # Do not edit this file; modify pyproject.toml instead.
 matplotlib>=3.8.4
-numpy
-numpy<2.0.0; sys_platform=='win32'
+numpy>=2.0.0
 onnx>=1.16.1
 onnxruntime>=1.19.0
 opencv-python>=4.10.0.84
 tensorboard>=2.17.1
-torch>=2.4.0
-torchvision>=0.19.0
+torch>=2.4.1
+torchvision>=0.19.1
 tqdm>=4.66.2

requirements/dev.txt

@@ -4,8 +4,7 @@ build>=1.2.1
 furo>=2024.5.6
 matplotlib>=3.8.4
 mypy>=1.8.0
-numpy
-numpy<2.0.0; sys_platform=='win32'
+numpy>=2.0.0
 onnx>=1.16.1
 onnxruntime>=1.19.0
 opencv-python>=4.10.0.84
@@ -16,8 +15,8 @@ ruff>=0.3.4
 sphinx-autoapi>=3.1.1
 sphinx>=7.3.7
 tensorboard>=2.17.1
-torch>=2.4.0
-torchvision>=0.19.0
+torch>=2.4.1
+torchvision>=0.19.1
 tqdm>=4.66.2
 twine>=5.0.0
 types-Pillow>=10.2.0.20240311

requirements/tune.txt

@@ -1,13 +1,12 @@
 # Generated via tools/generate_requirements.py and pre-commit hook.
 # Do not edit this file; modify pyproject.toml instead.
 matplotlib>=3.8.4
-numpy
-numpy<2.0.0; sys_platform=='win32'
+numpy>=2.0.0
 onnx>=1.16.1
 onnxruntime>=1.19.0
 opencv-python>=4.10.0.84
 optuna>=3.6.1
 tensorboard>=2.17.1
-torch>=2.4.0
-torchvision>=0.19.0
+torch>=2.4.1
+torchvision>=0.19.1
 tqdm>=4.66.2