[ET-VK] Add redirect for backends-vulkan (pytorch#15305)

Summary:
Title says it all!


cc @manuelcandales @digantdesai @cbilgin

Author: SS-JIA

CONTRIBUTING.md

@@ -33,7 +33,7 @@ executorch
 │   ├── <a href="backends/openvino">openvino</a> - OpenVINO backend for Intel hardware.
 │   ├── <a href="backends/qualcomm">qualcomm</a> - Qualcomm-specific backends. See <a href="docs/source/backends-qualcomm.md">doc</a>.
 │   ├── <a href="backends/transforms">transforms</a> - Transformations for backend optimization.
-│   ├── <a href="backends/vulkan">vulkan</a> - Vulkan backend for cross-platform GPU support. See <a href="docs/source/backends-vulkan.md">doc</a>.
+│   ├── <a href="backends/vulkan">vulkan</a> - Vulkan backend for cross-platform GPU support. See <a href="docs/source/backends/vulkan/vulkan-overview.md">doc</a>.
 │   └── <a href="backends/xnnpack">xnnpack</a> - XNNPACK backend for optimized neural network operations. See <a href="docs/source/backends/xnnpack/xnnpack-overview.md">doc</a>.
 ├── <a href="codegen">codegen</a> - Tooling to autogenerate bindings between kernels and the runtime.
 ├── <a href="configurations">configurations</a> - Configuration files.

docs/source/backends/vulkan/vulkan-op-support-table.csv

@@ -0,0 +1,113 @@
+Namespace,Operator,Notes
+aten,_log_softmax,
+aten,_native_batch_norm_legit_no_training,
+aten,_softmax,
+aten,_to_copy,dtype conversion between float types only
+aten,_weight_int8pack_mm,
+aten,abs,
+aten,add,
+aten,addmm,
+aten,amax,keepdim=True required; max 2D reductions
+aten,amin,keepdim=True required; max 2D reductions
+aten,arange,
+aten,avg_pool2d,
+aten,bmm,
+aten,cat,
+aten,clamp,
+aten,clone,
+aten,constant_pad_nd,
+aten,convolution,batch=1 for 2D conv; no transposed 1D conv; no 3D conv
+aten,cos,
+aten,div,
+aten,div.Tensor_mode,
+aten,embedding,
+aten,eq,
+aten,exp,
+aten,expand_copy,no resize support
+aten,flip,
+aten,full,
+aten,full_like,
+aten,ge,
+aten,gelu,
+aten,gt,
+aten,hardshrink,
+aten,hardtanh,
+aten,index_select,
+aten,le,
+aten,leaky_relu,
+aten,linear,
+aten,lt,
+aten,max_pool2d,
+aten,max_pool2d_with_indices,
+aten,mean,keepdim=True required; max 2D reductions
+aten,minimum,
+aten,mm,
+aten,native_group_norm,
+aten,native_layer_norm,resize supported
+aten,neg,
+aten,ones,
+aten,ones_like,
+aten,permute,
+aten,permute_copy,
+aten,pow,
+aten,relu,
+aten,repeat,
+aten,round,
+aten,rsqrt,
+aten,scalar_tensor,
+aten,select_copy,
+aten,sigmoid,
+aten,sin,
+aten,slice_copy,
+aten,split,
+aten,split_with_sizes_copy,
+aten,sqrt,
+aten,squeeze_copy,
+aten,sub,
+aten,sum,keepdim=True required; max 2D reductions
+aten,t_copy,
+aten,tanh,
+aten,unsqueeze_copy,
+aten,upsample_bilinear2d,
+aten,upsample_nearest2d,
+aten,view_copy,
+aten,zeros,
+aten,zeros_like,
+aten,_assert_scalar,removed via graph pass
+aten,sym_constrain_range_for_size,removed via graph pass
+aten,sym_size,
+dim_order_ops,_clone_dim_order,no dtype conversion; removable if no dtype change
+dim_order_ops,_to_dim_order_copy,no dtype conversion; removable if no dtype change
+llama,custom_sdpa,
+llama,sdpa_with_kv_cache,
+llama,update_cache,
+operator,add,
+operator,eq,
+operator,ge,
+operator,getitem,
+operator,gt,
+operator,le,
+operator,lt,
+quantized_decomposed,choose_qparams,
+quantized_decomposed,choose_qparams_per_token_asymmetric,
+quantized_decomposed,dequantize_per_channel,
+quantized_decomposed,dequantize_per_tensor,
+quantized_decomposed,dequantize_per_token,
+quantized_decomposed,quantize_per_channel,
+quantized_decomposed,quantize_per_tensor,
+quantized_decomposed,quantize_per_token,
+torchao,choose_qparams_affine,
+torchao,dequantize_affine,
+torchao,quantize_affine,
+et_vk,add_q8ta_q8ta_q8to,no resize support
+et_vk,apply_rotary_emb,
+et_vk,conv2d_q8ta_q8csw_q8to,no resize support
+et_vk,conv2d_q8ta_q8csw_q8to_dw,no resize support
+et_vk,conv_with_clamp,batch=1 for 2D conv; no transposed 1D conv
+et_vk,dequantize_q8to_from_conv2d,no resize support
+et_vk,grid_priors,
+et_vk,linear_dq8ca_q4gsw,
+et_vk,linear_q4gsw,
+et_vk,linear_q8ta_q8csw,
+et_vk,linear_qcs4w,
+et_vk,quantize_q8ta_for_conv2d,no resize support

docs/source/backends/vulkan/vulkan-op-support.rst

@@ -39,7 +39,7 @@ All operators support dynamic input shapes unless otherwise noted (i.e. "no
 resize support"). The expectation is that over time, all operators will be able
 to support dynamic shapes.
 
-.. csv-table:: Operator Support
+.. csv-table:: Vulkan Backend Operator Support
    :file: vulkan-op-support-table.csv
    :header-rows: 1
    :widths: 25 25 75

docs/source/conf.py

@@ -264,7 +264,8 @@
     "export-overview": "using-executorch-export.html",
     "runtime-build-and-cross-compilation": "using-executorch-building-from-source.html",
     "tutorials/export-to-executorch-tutorial": "../using-executorch-export.html",
-    "build-run-vulkan": "backends-vulkan.html",
+    "build-run-vulkan": "backends/vulkan/vulkan-overview.html",
+    "backends-vulkan": "backends/vulkan/vulkan-overview.html",
     "executorch-arm-delegate-tutorial": "backends-arm-ethos-u.html",
     "build-run-coreml": "backends-coreml.html",
     "build-run-mediatek-backend": "backends-mediatek.html",