Merge branch 'main' of github.com:easydiffusion/torch-runtime

Author: cmdr2

API.md

@@ -16,9 +16,20 @@ torchruntime.install(["torch", "torchvision<0.20"])
 ## Get device info
 You can use the device database built into `torchruntime` for your projects:
 ```py
-from torchruntime.device_db import get_discrete_gpus
+from torchruntime.device_db import get_gpus
 
-discrete_gpus = get_discrete_gpus()  # Returns a list of tuples containing (vendor_id, vendor_name, device_id, device_name)
+discrete_gpus = get_gpus()  # Returns a list of `torchruntime.device_db.GPU` instances containing the fields: vendor_id, vendor_name, device_id, device_name, is_discrete
 ```
 
 **Important:** This API could break in the future, so if you're writing a program using this, please open a new Issue on this repo and let me know what you're trying to do.
+
+## Get torch platform
+This will return the recommended torch platform to use for the PC. It will analyze the GPUs and OS on the PC, and suggest the most-performant version of torch for that.
+
+E.g. `cu124` or `rocm6.1` or `directml` or `ipex` or `xpu` or `cpu`.
+
+```py
+from torchruntime.platform_detection import get_torch_platform
+
+torch_platform = get_torch_platform()
+```

pci.ids.sha256

@@ -1 +1 @@
-73a969781601d939afe93aa9e7153738a0e92c5a8ee34fd13d11376c0a5a0110
+82f86c3973e8b28292e24ddeb2cd8dabb6b3997bd572d8a5ffc3566ce9a20942

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "torchruntime"
-version = "1.15.1"
+version = "1.16.0"
 description = "Meant for app developers. A convenient way to install and configure the appropriate version of PyTorch on the user's computer, based on the OS and GPU manufacturer and model number."
 readme = "README.md"
 requires-python = ">=3.0"