v4.3 update. (#2709)

* v4.3 update.

* Update the cute_dsl_api changelog's doc link

* Update version to 4.3.0

* Update the example link

* Update doc to encourage user to install DSL from requirements.txt

---------

Co-authored-by: Larry Wu <larwu@nvidia.com>

examples/python/CuTeDSL/ampere/tensorop_gemm.py

@@ -28,10 +28,8 @@
 
 import argparse
 import math
-import time
 from typing import Tuple, Type
 
-import cuda.bindings.driver as cuda
 import torch
 
 import cutlass
@@ -121,12 +119,12 @@ class TensorOpGemm:
         self.mma_inst_shape = (16, 8, 16)
         mmaM, mmaN, mmaK = self.mma_inst_shape
 
-        assert (
-            self.bM % (atom_lay_M * mmaM) == 0
-        ), "bM must be divisible by MMA instruction"
-        assert (
-            self.bN % (atom_lay_N * mmaN) == 0
-        ), "bN must be divisible by MMA instruction"
+        assert self.bM % (atom_lay_M * mmaM) == 0, (
+            "bM must be divisible by MMA instruction"
+        )
+        assert self.bN % (atom_lay_N * mmaN) == 0, (
+            "bN must be divisible by MMA instruction"
+        )
         assert atom_lay_K == 1, "this example does not support atom layout K > 1"
         assert self.bK % mmaK == 0, "bK must be divisible by MMA instruction"
         assert self.num_stages >= 3, "num_stages must be greater than or equal to 3"
@@ -428,7 +426,7 @@ class TensorOpGemm:
             # at the granularity of a copy atom, so the predicate tensor does not
             # need separate booleans for individual elements within a copy
             # atom (for example, the elements of tAgA.shape[0][0].)
-            tApA = cute.make_fragment(
+            tApA = cute.make_rmem_tensor(
                 cute.make_layout(
                     (
                         tAgA.shape[0][1],
@@ -439,7 +437,7 @@ class TensorOpGemm:
                 ),
                 cutlass.Boolean,
             )
-            tBpB = cute.make_fragment(
+            tBpB = cute.make_rmem_tensor(
                 cute.make_layout(
                     (
                         tBsB.shape[0][1],
@@ -707,7 +705,7 @@ class TensorOpGemm:
             cute.autovec_copy(tCsC_epilogue, tCrC_epilogue)
 
             # Create predication tensor for m
-            tCpC = cute.make_fragment(
+            tCpC = cute.make_rmem_tensor(
                 cute.make_layout(
                     (
                         tCgC_epilogue.shape[0][1],
@@ -851,7 +849,7 @@ def run(
     use_cold_l2: bool = False,
     **kwargs,
 ):
-    print(f"Running Ampere tensor core GEMM example:")
+    print("Running Ampere tensor core GEMM example:")
     print(f"mnkl: {mnkl}")
     print(
         f"A dtype: {ab_dtype}, B dtype: {ab_dtype}, C dtype: {c_dtype}, Acc dtype: {acc_dtype}"
@@ -944,6 +942,7 @@ def run(
 
     return avg_time_us  # Return execution time in microseconds
 
+
 if __name__ == "__main__":
 
     def parse_comma_separated_ints(s: str) -> Tuple[int, ...]: