sycl: update documentation

src/gpu/generic/sycl/README.md

@@ -33,11 +33,56 @@ one, the environment variable can be set to `cuda:*`.
 
 # Supported Primitives
 
+General limitations:
+
+* Currently blocked formats are not supported by any implementation unless
+    explicitly listed
+* There's a limit of maximum 5 post-ops for the implementations
+* The maximum supported size of any dimension of any input/output tensor of a
+    primitive is `INT32_MAX`
+
 ## Batch Normalization
 
 The implementation supports both forward and backward directions.
 
 * Supported formats: `NCDHW`, `NDHWC`, `NCHW`, `NHWC`, `NCW`, `NWC`, `NC`
+* Supported data types
+    * Forward direction: `f32`, `bf16`, `f16`, `s8`
+    * Backward direction: `f32`, `bf16`, `f16`
+
+## Binary
+
+* Supported formats: plain formats, `Ab32a`, `aBc32b`
+* Supported data types: `f32`, `bf16`, `f16`, `s8`, `u8`, `s32`
+
+## Convolution
+
+The implementation supports forward, backward data and backward weights
+directions.
+
+* Supported input/output formats: plain formats
+* Supported weights formats: `goiw`, `goihw`, `goidhw`, `oiw`, `oihw`, `oidhw`;
+* Supported data types: `f32`, `bf16`, `f16`, `s32`, `s8`, `u8`
+* Limitations
+    * Some very large problem sizes currently return `unimplemented` due to an
+      issue with long execution times
+
+## Concat
+
+A generic Concat implementation which uses the Reorder primitive is used. Refer
+to [src/gpu/generic/ref_concat.hpp](../ref_concat.hpp) for more information.
+
+## Deconvolution
+
+The implementation supports forward and backward data and backward weights
+directions.
+
+* Supported input/output formats: plain formats
+* Supported weights formats: `goiw`, `goihw`, `goidhw`, `oiw`, `oihw`, `oidhw`;
+* Supported data types: `f32`, `bf16`, `f16`, `s32`, `s8`, `u8`
+* Limitations
+    * Some very large problem sizes currently return `unimplemented` due to an
+      issue with long execution times
 
 ## Eltwise
 
@@ -47,50 +92,77 @@ The implementation supports both forward and backward directions.
 `gelu_tanh`, `hardsigmoid`, `hardswish`, `linear`, `log`, `logistic`, `mish`,
 `pow`, `relu`, `round`, `soft_relu`, `sqrt`, `square`,`swish` and `tanh`
 * Supported formats: `NCDHW`, `NDHWC`, `NCHW`, `NHWC`, `NCW`, `NWC`, `NC`, `N`
+* Supported data types: `f32`, `bf16`, `f16`, `s32`, `s8`, `u8`
+
+## Layer Normalization
+
+The implementation supports both forward and backward directions.
+
+* Supported formats: `NCDHW`, `NDHWC`, `NCHW`, `NHWC`, `NCW`, `NWC`, `NC`
+* Supported input/output data types for forward direction: `f32`, `bf16`, `f16`,
+  `s8`, `u8`
+* Supported input/output data types for backward direction: `f32`, `bf16`
+* Supported scale/shift data types: `f32`, `bf16`, `f16`
 
 ## LRN
 
 The implementation supports both forward and backward directions.
 
 * Supported formats: `NCDHW`, `NDHWC`, `NCHW`, `NHWC`, `NCW`, `NWC`, `NC`
+* Supported data types: `f32`, `bf16`, `f16`
+
+## Matmul
+
+* Supported formats: plain formats
+* Supported input/output data types: `f32`, `bf16`, `f16`, `s8`, `u8`, `s32`
+* Limitations
+    * Runtime dims is not supported
+    * PReLU post-op is not supported
 
 ## Pooling
 
 The implementation supports both forward and backward directions.
 
 * Supported formats: `NCDHW`, `NDHWC`, `NCHW`, `NHWC`, `NCW`, `NWC`
+* Supported data types for forward direction: f32, bf16, f16, s8, u8
+* Supported data types for backward direction: f32, bf16, f16
 
 ## PReLU
 
 The implementation supports both forward and backward propagations.
 
 * Supported formats: `NCDHW`, `NDHWC`, `NCHW`, `NHWC`, `NCW`, `NWC`, `NC`
-
-* Forward pass supports `f32`, `f16`, `bf16`, `s8` and `u8` data types
-* Backward pass supports `f32` and `bf16` data types
+* Supported data types `f32`, `f16`, `bf16`, `s8` and `u8` data types
 
 ## Reorder
 
-* Format support limitations: blocked formats are not supported
+* Supported formats: plain formats
 * Supported data types: `f32`, `bf16`, `f16`, `s8`, `u8`
 
 ## Resampling
 
 The implementation supports both forward and backward directions.
 
 * Supported formats: `NCDHW`, `NDHWC`, `NCHW`, `NHWC`, `NCW`, `NWC`
+* Supported data types: `f32`, `bf16`, `f16`, `s32`, `s8`, `u8`
 
 ## Softmax/LogSoftmax
 
 The implementation supports both forward and backward directions.
 
 * Supported formats: `NCDHW`, `NDHWC`, `NCHW`, `NHWC`, `NCW`, `NWC`, `NC`
+* Supported data types for forward direction: `f32`, `bf16`, `f16`, `s8`, `u8`
+* Supported data types for backward direction: `f32`, `bf16`, `f16`
 
 ## Shuffle
 
 The implementation supports both forward and backward propagations.
 
 * Supported formats: `NCDHW`, `NDHWC`, `NCHW`, `NHWC`, `NCW`, `NWC`, `NC`
-
 * Forward pass supports `f32`, `f16`, `bf16` and `s8` data types.
 * Backward pass supports `f32` and `bf16` data types.
+
+## Sum
+
+* Supported formats: plain formats with up to 7 dimensions
+* Supported data types: `f32`, `bf16`, `f16`, `s8`, `u8`