update all docs for pt19 variant (#2515)

Signed-off-by: Joel Polizzi <quic_jpolizzi@quicinc.com>

Docs/install/index.rst

@@ -55,6 +55,9 @@ PyTorch
 
 #. **torch-gpu** for PyTorch 1.13 GPU package with Python 3.8 and CUDA 11.x - *Recommended for use* with PyTorch models
 #. **torch-cpu** for PyTorch 1.13 CPU package with Python 3.8 - If installing on a machine without CUDA
+#. **torch-gpu-pt19** for PyTorch 1.9 GPU package with Python 3.8 and CUDA 11.x
+#. **torch-cpu-pt19** for PyTorch 1.9 CPU package with Python 3.8 - If installing on a machine without CUDA
+
 
 TensorFlow
 

Docs/install/install_docker.rst

@@ -47,6 +47,8 @@ Set variant
 Set the `<variant_string>` to ONE of the following depending on your desired variant
     #. For the PyTorch 1.13 GPU variant, use `torch-gpu`
     #. For the PyTorch 1.13 CPU variant, use `torch-cpu`
+    #. For the PyTorch 1.9 GPU variant, use `torch-gpu-pt19`
+    #. For the PyTorch 1.9 CPU variant, use `torch-cpu-pt19`
     #. For the TensorFlow GPU variant, use `tf-gpu`
     #. For the TensorFlow CPU variant, use `tf-cpu`
     #. For the ONNX GPU variant, use `onnx-gpu`
@@ -120,8 +122,10 @@ Go to https://github.com/quic/aimet/releases and identify the release tag of the
 
 Set the <variant_string> to ONE of the following depending on your desired variant
 
-#. For the PyTorch GPU variant, use "torch_gpu"
-#. For the PyTorch CPU variant, use "torch_cpu"
+#. For the PyTorch 1.13 GPU variant, use "torch_gpu"
+#. For the PyTorch 1.13 CPU variant, use "torch_cpu"
+#. For the PyTorch 1.9 GPU variant, use "torch_gpu_pt19"
+#. For the PyTorch 1.9 CPU variant, use "torch_cpu_pt19"
 #. For the TensorFlow GPU variant, use "tf_gpu"
 #. For the TensorFlow CPU variant, use "tf_cpu"
 #. For the ONNX GPU variant, use "onnx_gpu"

Docs/install/install_host.rst

@@ -158,10 +158,10 @@ Go to https://github.com/quic/aimet/releases and identify the release tag of the
 
 Set the <variant_string> to ONE of the following depending on your desired variant
 
-#. For the PyTorch 1.9 GPU variant, use "torch_gpu"
-#. For the PyTorch 1.9 CPU variant, use "torch_cpu"
-#. For the PyTorch 1.13 GPU variant, use "torch_gpu_pt113"
-#. For the PyTorch 1.13 CPU variant, use "torch_cpu_pt113"
+#. For the PyTorch 1.13 GPU variant, use "torch_gpu"
+#. For the PyTorch 1.13 CPU variant, use "torch_cpu"
+#. For the PyTorch 1.9 GPU variant, use "torch_gpu_pt19"
+#. For the PyTorch 1.9 CPU variant, use "torch_cpu_pt19"
 #. For the TensorFlow GPU variant, use "tf_gpu"
 #. For the TensorFlow CPU variant, use "tf_cpu"
 #. For the ONNX GPU variant, use "onnx_gpu"