Move requirements into their own directory (#12547)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

docs/source/getting_started/installation/ai_accelerator/hpu-gaudi.inc.md

@@ -63,7 +63,7 @@ To build and install vLLM from source, run:
 ```console
 git clone https://github.com/vllm-project/vllm.git
 cd vllm
-pip install -r requirements-hpu.txt
+pip install -r requirements/hpu.txt
 python setup.py develop
 ```
 
@@ -73,7 +73,7 @@ Currently, the latest features and performance optimizations are developed in Ga
 git clone https://github.com/HabanaAI/vllm-fork.git
 cd vllm-fork
 git checkout habana_main
-pip install -r requirements-hpu.txt
+pip install -r requirements/hpu.txt
 python setup.py develop
 ```
 

docs/source/getting_started/installation/ai_accelerator/neuron.inc.md

@@ -116,7 +116,7 @@ Once neuronx-cc and transformers-neuronx packages are installed, we will be able
 ```console
 git clone https://github.com/vllm-project/vllm.git
 cd vllm
-pip install -U -r requirements-neuron.txt
+pip install -U -r requirements/neuron.txt
 VLLM_TARGET_DEVICE="neuron" pip install .
 ```
 

docs/source/getting_started/installation/ai_accelerator/openvino.inc.md

@@ -32,7 +32,7 @@ Second, clone vLLM and install prerequisites for the vLLM OpenVINO backend insta
 ```console
 git clone https://github.com/vllm-project/vllm.git
 cd vllm
-pip install -r requirements-build.txt --extra-index-url https://download.pytorch.org/whl/cpu
+pip install -r requirements/build.txt --extra-index-url https://download.pytorch.org/whl/cpu
 ```
 
 Finally, install vLLM with OpenVINO backend:

docs/source/getting_started/installation/ai_accelerator/tpu.inc.md

@@ -151,7 +151,7 @@ pip uninstall torch torch-xla -y
 Install build dependencies:
 
 ```bash
-pip install -r requirements-tpu.txt
+pip install -r requirements/tpu.txt
 sudo apt-get install libopenblas-base libopenmpi-dev libomp-dev
 ```
 

docs/source/getting_started/installation/cpu/apple.inc.md

@@ -25,7 +25,7 @@ After installation of XCode and the Command Line Tools, which include Apple Clan
 ```console
 git clone https://github.com/vllm-project/vllm.git
 cd vllm
-pip install -r requirements-cpu.txt
+pip install -r requirements/cpu.txt
 pip install -e . 
 ```
 

docs/source/getting_started/installation/cpu/build.inc.md

@@ -18,7 +18,7 @@ Third, install Python packages for vLLM CPU backend building:
 ```console
 pip install --upgrade pip
 pip install "cmake>=3.26" wheel packaging ninja "setuptools-scm>=8" numpy
-pip install -v -r requirements-cpu.txt --extra-index-url https://download.pytorch.org/whl/cpu
+pip install -v -r requirements/cpu.txt --extra-index-url https://download.pytorch.org/whl/cpu
 ```
 
 Finally, build and install vLLM CPU backend:

docs/source/getting_started/installation/gpu/cuda.inc.md

@@ -148,7 +148,7 @@ To build vLLM using an existing PyTorch installation:
 git clone https://github.com/vllm-project/vllm.git
 cd vllm
 python use_existing_torch.py
-pip install -r requirements-build.txt
+pip install -r requirements/build.txt
 pip install -e . --no-build-isolation
 ```
 

docs/source/getting_started/installation/gpu/rocm.inc.md

@@ -84,7 +84,7 @@ Currently, there are no pre-built ROCm wheels.
     # Install dependencies
     $ pip install --upgrade numba scipy huggingface-hub[cli,hf_transfer] setuptools_scm
     $ pip install "numpy<2"
-    $ pip install -r requirements-rocm.txt
+    $ pip install -r requirements/rocm.txt
 
     # Build vLLM for MI210/MI250/MI300.
     $ export PYTORCH_ROCM_ARCH="gfx90a;gfx942"

docs/source/getting_started/installation/gpu/xpu.inc.md

@@ -25,7 +25,7 @@ Currently, there are no pre-built XPU wheels.
 ```console
 source /opt/intel/oneapi/setvars.sh
 pip install --upgrade pip
-pip install -v -r requirements-xpu.txt
+pip install -v -r requirements/xpu.txt
 ```
 
 - Finally, build and install vLLM XPU backend: