[Mlir-commits] [mlir] [mlir]: clarify tensor.pad docs for low/high config (PR #69641)

[llvmlistbot at llvm.org]

llvmbot wrote:


<!--LLVM PR SUMMARY COMMENT-->

@llvm/pr-subscribers-mlir

Author: Jeremy Kun (j2kun)

<details>
<summary>Changes</summary>

Thanks @<!-- -->makslevental for educating me ^_^

---
Full diff: https://github.com/llvm/llvm-project/pull/69641.diff


1 Files Affected:

- (modified) mlir/include/mlir/Dialect/Tensor/IR/TensorOps.td (+24-7) 


``````````diff
diff --git a/mlir/include/mlir/Dialect/Tensor/IR/TensorOps.td b/mlir/include/mlir/Dialect/Tensor/IR/TensorOps.td
index 86a250b77dcc8ee..6f3e932ace3e48e 100644
--- a/mlir/include/mlir/Dialect/Tensor/IR/TensorOps.td
+++ b/mlir/include/mlir/Dialect/Tensor/IR/TensorOps.td
@@ -1168,9 +1168,11 @@ def Tensor_PadOp : Tensor_Op<"pad", [
 
     * source: the "base" tensor on which to pad.
     * low: A list contains the padding along the start of each
-           dimension, i.e `low`.
+           dimension, i.e., how many padded values are prepended
+           to the beginning of the tensor in each dimension.
     * high: A list contains the padding along the end of each
-            dimension, i.e. `high`.
+            dimension, i.e., how many padded values are appended
+            to the end of the tensor in each dimension.
     * nofold: indicates that the operation should not be folded when source and
               result types are equal.
 
@@ -1189,7 +1191,21 @@ def Tensor_PadOp : Tensor_Op<"pad", [
     if the source type and the padded type have the same static shape. This can
     be used, e.g., for packing or promotion to faster memory.
 
-    Example 1:
+    Example 1: add 3 zeros to the beginning and 5 zeros to the end of a 1D
+    tensor.
+
+    ```mlir
+      %arg0 = ... : tensor<10xi32>
+      %c0_i32 = arith.constant 0 : i32
+      %padded = tensor.pad %arg0 low[3] high[5] {
+      ^bb0(%arg1: index):
+        tensor.yield %c0_i32 : i32
+      } : tensor<10xi32> to tensor<18xi32>
+    ```
+
+    Example 2: add 1 value to the beginning of dimension 0, 2 values to the end
+    of dimension 0, 2 values to the start of dimension 1, and 3 values to the
+    end of dimension 1.
 
     ```mlir
       %pad_value = ... : f32
@@ -1199,7 +1215,7 @@ def Tensor_PadOp : Tensor_Op<"pad", [
       } : tensor<?x?xf32> to tensor<?x?xf32>
     ```
 
-    Example 2:
+    Example 3:
 
     ```mlir
       %pad_value = ... : f32
@@ -1209,7 +1225,7 @@ def Tensor_PadOp : Tensor_Op<"pad", [
       } : tensor<1x2x2x?xf32> to tensor<6x?x?x?xf32>
     ```
 
-    Example 3:
+    Example 4:
 
     ```mlir
       %pad_value = ... : f32
@@ -1219,10 +1235,11 @@ def Tensor_PadOp : Tensor_Op<"pad", [
       } : tensor<2x3xf32> to tensor<?x?xf32>
     ```
 
-    Example 4:
+    Example 5: Force a padded value to be always exist with `nofold`, even
+    though the padding config asserts no new elements will be added to the
+    tensor.
 
     ```mlir
-      // Force a padded value to be always exist with `nofold`.
       %pad_value = ... : f32
       %0 = tensor.pad %arg0 nofold low[0, 0] high[0, 0] {
       ^bb0(%arg1: index, %arg2: index):

``````````

</details>


https://github.com/llvm/llvm-project/pull/69641