v4.1 release

2025-07-03 08:07:53 -04:00
parent b995f93317
commit a1aaf2300a
155 changed files with 18407 additions and 6068 deletions
@@ -0,0 +1,188 @@
+/***************************************************************************************************
+ * Copyright (c) 2023 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: BSD-3-Clause
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *
+ * 1. Redistributions of source code must retain the above copyright notice, this
+ * list of conditions and the following disclaimer.
+ *
+ * 2. Redistributions in binary form must reproduce the above copyright notice,
+ * this list of conditions and the following disclaimer in the documentation
+ * and/or other materials provided with the distribution.
+ *
+ * 3. Neither the name of the copyright holder nor the names of its
+ * contributors may be used to endorse or promote products derived from
+ * this software without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ *
+ **************************************************************************************************/
+#pragma once
+
+#include <cute/config.hpp>           // CUTE_HOST_DEVICE
+
+#include <cute/layout.hpp>
+#include <cute/tensor_impl.hpp>
+
+namespace cute
+{
+
+////////////////////////////////
+// Layout 2D to Console table //
+////////////////////////////////
+
+template <class Layout>
+CUTE_HOST_DEVICE
+void
+print_layout(Layout const& layout)  // (m,n) -> idx
+{
+  CUTE_STATIC_ASSERT_V(rank(layout) == Int<2>{});
+
+  int idx_width = num_digits(cosize(layout)) + 2;
+  const char* delim = "+-----------------------";
+
+  print(layout); print("\n");
+
+  // Column indices
+  print("    ");
+  for (int n = 0; n < size<1>(layout); ++n) { printf("  %*d ", idx_width-2, n); }
+  printf("\n");
+
+  // Print out A m-by-n
+  for (int m = 0; m < size<0>(layout); ++m) {
+    // Header
+    print("    ");
+    for (int n = 0; n < size<1>(layout); ++n) { printf("%.*s", idx_width+1, delim); }
+    printf("+\n");
+    // Values
+    printf("%2d  ", m);  // Row indices
+    for (int n = 0; n < size<1>(layout); ++n) { printf("| %*d ", idx_width-2, int(layout(m,n))); }
+    printf("|\n");
+  }
+  // Footer
+  print("    ");
+  for (int n = 0; n < size<1>(layout); ++n) { printf("%.*s", idx_width+1, delim); }
+  printf("+\n");
+}
+
+// Capture and cast smem_ptr_flag Layouts to offset-0 layouts
+template <class SwizzleFn, int B, class Layout>
+CUTE_HOST_DEVICE
+void
+print_layout(ComposedLayout<SwizzleFn,smem_ptr_flag_bits<B>,Layout> const& layout)
+{
+  print_layout(as_position_independent_swizzle_layout(layout));
+}
+
+////////////////////////////////
+// Tensor 1D,2D,3D,4D Console //
+////////////////////////////////
+
+template <class Engine, class Layout>
+CUTE_HOST_DEVICE
+void
+print_tensor(Tensor<Engine,Layout> const& tensor, bool print_type = true)
+{
+  if (print_type) {
+    print(tensor); print(":\n");
+  }
+
+  if constexpr (Layout::rank == 1)
+  {
+    for (int m = 0; m < size(tensor); ++m) {
+      pretty_print(tensor(m));
+      printf("\n");
+    }
+  } else
+  if constexpr (Layout::rank == 2)
+  {
+    for (int m = 0; m < size<0>(tensor); ++m) {
+      for (int n = 0; n < size<1>(tensor); ++n) {
+        pretty_print(tensor(m,n));
+      }
+      printf("\n");
+    }
+  } else
+  if constexpr (Layout::rank == 3)
+  {
+    print_tensor(tensor(_,_,0), false);
+    for (int k = 1; k < size<2>(tensor); ++k) {
+      for (int i = 0; i < 5*size<1>(tensor); ++i) { print("-"); } print("\n");
+      print_tensor(tensor(_,_,k), false);
+    }
+  } else
+  if constexpr (Layout::rank == 4)
+  {
+    print_tensor(tensor(_,_,_,0), false);
+    for (int p = 1; p < size<3>(tensor); ++p) {
+      for (int i = 0; i < 5*size<1>(tensor); ++i) { print("="); } print("\n");
+      print_tensor(tensor(_,_,_,p), false);
+    }
+  }
+}
+
+#if !defined(__CUDACC_RTC__)
+template <class Engine, class Layout>
+CUTE_HOST
+std::ostream&
+print_tensor_os(std::ostream& os, Tensor<Engine,Layout> const& tensor)
+{
+  int digits = 9;
+
+  if constexpr (Layout::rank == 1)
+  {
+    for (int m = 0; m < size(tensor); ++m) {
+      os << std::setw(digits) << tensor(m) << std::endl;
+    }
+  } else
+  if constexpr (Layout::rank == 2)
+  {
+    for (int m = 0; m < size<0>(tensor); ++m) {
+      for (int n = 0; n < size<1>(tensor); ++n) {
+        os << std::setw(digits) << tensor(m,n);
+      }
+      os << std::endl;
+    }
+  } else
+  if constexpr (Layout::rank == 3)
+  {
+    print_tensor_os(os, tensor(_,_,0));
+    for (int k = 1; k < size<2>(tensor); ++k) {
+      for (int i = 0; i < digits*size<1>(tensor); ++i) { os << "-"; } os << std::endl;
+      print_tensor_os(os, tensor(_,_,k));
+    }
+  } else
+  if constexpr (Layout::rank == 4)
+  {
+    print_tensor_os(os, tensor(_,_,_,0));
+    for (int p = 1; p < size<3>(tensor); ++p) {
+      for (int i = 0; i < digits*size<1>(tensor); ++i) { os << "="; } os << std::endl;
+      print_tensor_os(os, tensor(_,_,_,p));
+    }
+  }
+
+  return os;
+}
+
+template <class Engine, class Layout>
+CUTE_HOST
+std::ostream&
+operator<<(std::ostream& os, Tensor<Engine,Layout> const& tensor)
+{
+  os << tensor.layout() << std::endl;
+  return print_tensor_os(os, tensor);
+}
+#endif // !defined(__CUDACC_RTC__)
+
+} // end namespace cute