Update ops-related pbtxt files.

Change: 151341806

1 files changed, 3 insertions, 3 deletions

diff --git a/tensorflow/core/ops/ops.pbtxt b/tensorflow/core/ops/ops.pbtxt
index 1ce9091b47..d5bed196a0 100644
--- a/tensorflow/core/ops/ops.pbtxt
+++ b/tensorflow/core/ops/ops.pbtxt
@@ -2607,12 +2607,12 @@ op {
   name: "BatchMatMul"
   input_arg {
     name: "x"
-    description: "3-D or higher with shape `[..., r_x, c_x]`."
+    description: "2-D or higher with shape `[..., r_x, c_x]`."
     type_attr: "T"
   }
   input_arg {
     name: "y"
-    description: "3-D or higher with shape `[..., r_y, c_y]`."
+    description: "2-D or higher with shape `[..., r_y, c_y]`."
     type_attr: "T"
   }
   output_arg {
@@ -2651,7 +2651,7 @@ op {
     description: "If `True`, adjoint the slices of `y`. Defaults to `False`."
   }
   summary: "Multiplies slices of two tensors in batches."
-  description: "Multiplies all slices of `Tensor` `x` and `y` (each slice can be\nviewed as an element of a batch), and arranges the individual results\nin a single output tensor of the same batch size. Each of the\nindividual slices can optionally be adjointed (to adjoint a matrix\nmeans to transpose and conjugate it) before multiplication by setting\nthe `adj_x` or `adj_y` flag to `True`, which are by default `False`.\n\nThe input tensors `x` and `y` are 3-D or higher with shape `[..., r_x, c_x]`\nand `[..., r_y, c_y]`.\n\nThe output tensor is 3-D or higher with shape `[..., r_o, c_o]`, where:\n\n    r_o = c_x if adj_x else r_x\n    c_o = r_y if adj_y else c_y\n\nIt is computed as:\n\n    output[..., :, :] = matrix(x[..., :, :]) * matrix(y[..., :, :])"
+  description: "Multiplies all slices of `Tensor` `x` and `y` (each slice can be\nviewed as an element of a batch), and arranges the individual results\nin a single output tensor of the same batch size. Each of the\nindividual slices can optionally be adjointed (to adjoint a matrix\nmeans to transpose and conjugate it) before multiplication by setting\nthe `adj_x` or `adj_y` flag to `True`, which are by default `False`.\n\nThe input tensors `x` and `y` are 2-D or higher with shape `[..., r_x, c_x]`\nand `[..., r_y, c_y]`.\n\nThe output tensor is 2-D or higher with shape `[..., r_o, c_o]`, where:\n\n    r_o = c_x if adj_x else r_x\n    c_o = r_y if adj_y else c_y\n\nIt is computed as:\n\n    output[..., :, :] = matrix(x[..., :, :]) * matrix(y[..., :, :])"
 }
 op {
   name: "BatchMatrixBandPart"