CUTLASS 2.10 (#615)

Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
2022-09-03 15:48:46 -07:00
parent ca23ff7924
commit b72cbf957d
289 changed files with 43708 additions and 2513 deletions
--- a/tools/library/scripts/pycutlass/src/cpp/include/conv/convolution.h
+++ b/tools/library/scripts/pycutlass/src/cpp/include/conv/convolution.h
@@ -0,0 +1,91 @@
+/***************************************************************************************************
+ * Copyright (c) 2017 - 2022 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.
+ *
+ **************************************************************************************************/
+/* \file
+   \brief Bind convolution related enum types to python
+*/
+#pragma once
+#include <pybind11/pybind11.h>
+#include <pybind11/stl_bind.h>
+
+#include "conv_problem_size.h"
+#include "host.h"
+#include "cutlass/conv/convolution.h"
+
+namespace py = pybind11;
+
+void bind_convolution(py::module &m) {
+    //
+    // Enumerate types
+    // cutlass/include/cutlass/conv/convolution.h
+    //
+
+    /// Convolutional operator
+    py::enum_<cutlass::conv::Operator>(m, "Operator", R"pbdoc(Convolutional operator)pbdoc")
+        .value("fprop", cutlass::conv::Operator::kFprop, "Forward propagation")
+        .value("dgrad", cutlass::conv::Operator::kDgrad, "Activation grad")
+        .value("wgrad", cutlass::conv::Operator::kWgrad, "Weight grad");
+
+    /// Distinguishes convolution  from cross correlation
+    py::enum_<cutlass::conv::Mode>(m, "Mode")
+        .value("cross_correlation", cutlass::conv::Mode::kCrossCorrelation)
+        .value("convolution", cutlass::conv::Mode::kConvolution);
+    
+    /// Selects among several implementation variants trading off performance with simplicity
+    py::enum_<cutlass::conv::IteratorAlgorithm>(m, "IteratorAlgorithm",
+        R"pbdoc(Selects among several implementation variants trading off performance with simplicity)pbdoc")
+        .value("analytic", cutlass::conv::IteratorAlgorithm::kAnalytic, R"pbdoc(functionally correct in all cases but lower performance)pbdoc")
+        .value("optimized", cutlass::conv::IteratorAlgorithm::kOptimized, R"pbdoc(optimized for R <= 32, S <= 32 and unity-stride dgrad)pbdoc")
+        .value("fixed_channels", cutlass::conv::IteratorAlgorithm::kFixedChannels, R"pbdoc(Analytic algorithm optimized for fixed channel count (C == AccessSize))pbdoc")
+        .value("few_channels", cutlass::conv::IteratorAlgorithm::kFewChannels, R"pbdoc(Analytic algorithm optimized for few channels (C divisible by AccessSize))pbdoc");
+    
+    /// Distinguishes among partial specializations that accelerate certain problems where convolution
+    /// stride is unit.
+    py::enum_<cutlass::conv::StrideSupport>(m, "StrideSupport",
+        R"pbdoc(Distinguishes among partial specializations that accelerate certain problems where convolution
+        stride is unit.)pbdoc")
+        .value("strided", cutlass::conv::StrideSupport::kStrided, R"pbdoc(arbitrary convolution stride)pbdoc")
+        .value("unity", cutlass::conv::StrideSupport::kUnity, R"pbdoc(unit convolution stride)pbdoc");
+    
+    /// Identifies split-K mode
+    py::enum_<cutlass::conv::SplitKMode>(m, "SplitKMode")
+        .value("None", cutlass::conv::SplitKMode::kNone)
+        .value("Serial", cutlass::conv::SplitKMode::kSerial)
+        .value("Parallel", cutlass::conv::SplitKMode::kParallel);
+    
+    // Conv problem sizes
+    bind_conv_problem_size(m);
+
+    //
+    // host helper functions
+    //
+    py::module_ host_submodule = m.def_submodule("host");
+    bind_conv_host_helper(host_submodule);
+}