added conda bld.bat for windows

conda-recipe/README.md

@@ -2,20 +2,38 @@
 
 This conda recipe builds rtxpy with all required dependencies including OptiX and CUDA support.
 
+## Supported Platforms
+
+- **Linux** (x86_64)
+- **Windows** (x86_64)
+
 ## Prerequisites
 
-- NVIDIA GPU with compute capability 5.2+ (Maxwell or newer)
+- NVIDIA GPU with compute capability 7.5+ (Turing or newer, for CUDA 12+)
 - NVIDIA driver 530.41+ (for OptiX 7.7 compatibility)
 - conda-build installed
 
+## Python and NumPy Compatibility
+
+| Python Version | NumPy Version |
+|----------------|---------------|
+| 3.10, 3.11, 3.12 | >=1.21, <3 |
+| 3.13+ | >=2.0, <3 |
+
 ## Building the Package
 
-### Basic build (auto-detect GPU architecture):
+### Linux - Basic build (auto-detect GPU architecture):
 
 ```bash
 conda build conda-recipe
 ```
 
+### Windows - Basic build:
+
+```cmd
+conda build conda-recipe
+```
+
 ### Build for a specific GPU architecture:
 
 ```bash
@@ -58,10 +76,10 @@ conda install --use-local rtxpy
 
 ## GPU Architecture Reference
 
+**Note:** CUDA 12+ requires compute capability 7.5+ (Turing or newer).
+
 | GPU Series | Architecture | Compute Capability |
 |------------|--------------|-------------------|
-| GTX 900, Tesla M | Maxwell | sm_52 |
-| GTX 1000, Tesla P | Pascal | sm_60, sm_61 |
 | RTX 2000, Tesla T4 | Turing | sm_75 |
 | RTX 3000, A100 | Ampere | sm_80, sm_86 |
 | RTX 4000, L40 | Ada Lovelace | sm_89 |
@@ -87,7 +105,21 @@ Your driver is too old for the OptiX version. Either:
 
 ### "Invalid target architecture" error
 The PTX was compiled for a different GPU. Rebuild with your GPU's architecture:
+
+**Linux:**
 ```bash
 GPU_ARCH=$(nvidia-smi --query-gpu=compute_cap --format=csv,noheader | tr -d '.')
 conda build conda-recipe
 ```
+
+**Windows:**
+```cmd
+for /f "tokens=*" %a in ('nvidia-smi --query-gpu^=compute_cap --format^=csv^,noheader') do set GPU_ARCH=%a
+set GPU_ARCH=%GPU_ARCH:.=%
+conda build conda-recipe
+```
+
+### NumPy version conflicts
+If you see errors about numpy version incompatibility:
+- Python 3.13+ requires numpy 2.0 or later
+- The recipe handles this automatically with conditional dependencies

conda-recipe/bld.bat

@@ -0,0 +1,78 @@
+@echo off
+setlocal EnableDelayedExpansion
+
+echo === RTXpy Conda Build (Windows) ===
+
+REM ---------------------------------------------------------------------------
+REM Step 1: Install OptiX SDK headers
+REM ---------------------------------------------------------------------------
+if "%OPTIX_VERSION%"=="" set OPTIX_VERSION=7.7.0
+set OPTIX_DIR=%SRC_DIR%\optix-sdk
+
+echo === Installing OptiX SDK headers (v%OPTIX_VERSION%) ===
+git clone --depth 1 --branch "v%OPTIX_VERSION%" https://github.com/NVIDIA/optix-dev.git "%OPTIX_DIR%"
+if errorlevel 1 exit /b 1
+
+if not exist "%OPTIX_DIR%\include\optix.h" (
+    echo ERROR: OptiX headers not found after clone
+    exit /b 1
+)
+
+set OptiX_INSTALL_DIR=%OPTIX_DIR%
+echo OptiX headers installed at: %OptiX_INSTALL_DIR%
+
+REM ---------------------------------------------------------------------------
+REM Step 2: Detect GPU architecture and compile PTX
+REM ---------------------------------------------------------------------------
+echo === Compiling PTX kernel ===
+
+REM Try to detect GPU architecture, fall back to a compatible default
+if "%GPU_ARCH%"=="" (
+    for /f "tokens=*" %%a in ('nvidia-smi --query-gpu^=compute_cap --format^=csv^,noheader 2^>nul') do (
+        set GPU_ARCH_RAW=%%a
+        set GPU_ARCH=!GPU_ARCH_RAW:.=!
+        goto :arch_found
+    )
+)
+:arch_found
+
+REM Default to sm_75 (Turing) - minimum supported by CUDA 12+
+REM PTX is forward-compatible, so this will JIT-compile on newer GPUs
+if "%GPU_ARCH%"=="" set GPU_ARCH=75
+
+echo Target GPU architecture: sm_%GPU_ARCH%
+
+nvcc -ptx ^
+    -arch="sm_%GPU_ARCH%" ^
+    -I"%OptiX_INSTALL_DIR%\include" ^
+    -I"%SRC_DIR%\cuda" ^
+    --use_fast_math ^
+    -o "%SRC_DIR%\rtxpy\kernel.ptx" ^
+    "%SRC_DIR%\cuda\kernel.cu"
+if errorlevel 1 exit /b 1
+
+echo PTX compiled successfully
+
+REM ---------------------------------------------------------------------------
+REM Step 3: Install otk-pyoptix from source
+REM ---------------------------------------------------------------------------
+echo === Installing otk-pyoptix ===
+set OTK_PYOPTIX_DIR=%SRC_DIR%\otk-pyoptix
+
+git clone --depth 1 https://github.com/NVIDIA/otk-pyoptix.git "%OTK_PYOPTIX_DIR%"
+if errorlevel 1 exit /b 1
+
+cd /d "%OTK_PYOPTIX_DIR%\optix"
+"%PYTHON%" -m pip install . --no-deps --no-build-isolation -vv
+if errorlevel 1 exit /b 1
+
+REM ---------------------------------------------------------------------------
+REM Step 4: Install rtxpy
+REM ---------------------------------------------------------------------------
+echo === Installing rtxpy ===
+cd /d "%SRC_DIR%"
+
+"%PYTHON%" -m pip install . --no-deps --no-build-isolation -vv
+if errorlevel 1 exit /b 1
+
+echo === RTXpy build complete ===

conda-recipe/conda_build_config.yaml

@@ -4,13 +4,12 @@ cuda_compiler_version:
 
 # Python versions to support
 python:
+  - "3.10"
+  - "3.11"
   - "3.12"
   - "3.13"
 
-# Pin numpy for ABI compatibility
-numpy:
-  - "1.26"
-
-# Zip keys to create version combinations
-zip_keys:
-  - - python
+# NumPy version handling:
+# - Python 3.10-3.12: numpy 1.26 (last 1.x series)
+# - Python 3.13+: numpy 2.1 (required for Python 3.13 support)
+# Note: numpy pins are set conditionally in meta.yaml based on Python version

conda-recipe/meta.yaml

@@ -10,7 +10,6 @@ source:
 
 build:
   number: 0
-  skip: true  # [not linux]
   skip: true  # [py<310]
   script_env:
     - OPTIX_VERSION=7.7.0
@@ -38,10 +37,11 @@ requirements:
 
   run:
     - python >=3.10
-    - numpy >=1.21
+    - numpy >=1.21,<3  # [py<313]
+    - numpy >=2.0,<3  # [py>=313]
     - cupy >=12.0
     - cuda-version >=12
-    - __cuda
+    - __cuda  # [linux]
 
 test:
   imports: