fix doc of triangular_solve (#46943)

paddle/scripts/paddle_build.bat

@@ -662,6 +662,7 @@ echo    ========================================
 echo    Step 4. Running unit tests ...
 echo    ========================================
 
+pip install requests
 pip install -r %work_dir%\python\unittest_py\requirements.txt
 if %ERRORLEVEL% NEQ 0 (
     echo pip install unittest requirements.txt failed!
@@ -678,8 +679,7 @@ dir %THIRD_PARTY_PATH:/=\%\install\zlib\bin
 dir %THIRD_PARTY_PATH:/=\%\install\mklml\lib
 dir %THIRD_PARTY_PATH:/=\%\install\mkldnn\bin
 dir %THIRD_PARTY_PATH:/=\%\install\warpctc\bin
-
-pip install requests
+dir %THIRD_PARTY_PATH:/=\%\install\onnxruntime\lib
 
 set PATH=%THIRD_PARTY_PATH:/=\%\install\openblas\lib;%THIRD_PARTY_PATH:/=\%\install\openblas\bin;^
 %THIRD_PARTY_PATH:/=\%\install\zlib\bin;%THIRD_PARTY_PATH:/=\%\install\mklml\lib;^
@@ -689,7 +689,9 @@ set PATH=%THIRD_PARTY_PATH:/=\%\install\openblas\lib;%THIRD_PARTY_PATH:/=\%\inst
 %PATH%
 
 REM TODO: make ut find .dll in install\onnxruntime\lib
-xcopy %THIRD_PARTY_PATH:/=\%\install\onnxruntime\lib\onnxruntime.dll %work_dir%\%BUILD_DIR%\paddle\fluid\inference\tests\api\ /Y
+if "%WITH_ONNXRUNTIME%"=="ON" (
+    xcopy %THIRD_PARTY_PATH:/=\%\install\onnxruntime\lib\onnxruntime.dll %work_dir%\%BUILD_DIR%\paddle\fluid\inference\tests\api\ /Y
+)
 
 if "%WITH_GPU%"=="ON" (
     call:parallel_test_base_gpu

python/paddle/tensor/linalg.py

@@ -3000,11 +3000,21 @@ def triangular_solve(x,
                      unitriangular=False,
                      name=None):
     r"""
-    Computes the solution of a system of equations with a triangular coefficient matrix `x` and
-    multiple right-hand sides `y` .
+    Computes the solution of a system of equations with a triangular coefficient.  `x` is coefficient matrix
+    `y` is multiple right-hand sides of equations.
 
-    Input `x` and `y` is 2D matrices or batches of 2D matrices. If the inputs are batches, the outputs
-    is also batches.
+    Input `x` and `y` is 2D matrices or batches of 2D matrices. If the inputs are batches, the outputs is also
+    batches.
+
+    Equations can be described as:
+
+    .. math::
+        x * Out = y
+
+    Solution of Equations is:
+
+    .. math::
+        Out = x ^ {-1} * y
 
     Args:
         x (Tensor): The input triangular coefficient matrix. Its shape should be `[*, M, M]`, where `*` is zero or
@@ -3031,7 +3041,6 @@ def triangular_solve(x,
             #               -x3 = 5
 
             import paddle
-
             x = paddle.to_tensor([[1, 1, 1],
                                   [0, 2, 1],
                                   [0, 0,-1]], dtype="float64")