From f41959ccb2d9d4c722fe8fc3351401d53bcf4900 Mon Sep 17 00:00:00 2001
From: Manjunath Kudlur <keveman@gmail.com>
Date: Fri, 6 Nov 2015 16:27:58 -0800
Subject: TensorFlow: Initial commit of TensorFlow library. TensorFlow is an
 open source software library for numerical computation using data flow
 graphs.

Base CL: 107276108
---
 .../Eigen/CXX11/src/FixedPoint/MatMatProductNEON.h | 95 ++++++++++++++++++++++
 1 file changed, 95 insertions(+)
 create mode 100644 third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/MatMatProductNEON.h

(limited to 'third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/MatMatProductNEON.h')

diff --git a/third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/MatMatProductNEON.h b/third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/MatMatProductNEON.h
new file mode 100644
index 0000000000..99894cafb5
--- /dev/null
+++ b/third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/MatMatProductNEON.h
@@ -0,0 +1,95 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2015 Benoit Steiner <benoit.steiner.goog@gmail.com>
+// Copyright (C) 2015 Benoit Jacob <benoitjacob@google.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CXX11_FIXED_POINT_MAT_MAT_PRODUCT_NEON_H
+#define EIGEN_CXX11_FIXED_POINT_MAT_MAT_PRODUCT_NEON_H
+
+
+namespace Eigen {
+namespace internal {
+
+
+// AVX2 optimized implementation of the case where the lhs is encoded using signed 8bit
+// integers and the rhs using unsigned 8bit integers.
+#ifdef EIGEN_USE_OPTIMIZED_INT8_UINT8_MAT_MAT_PRODUCT
+
+template<bool _ConjLhs, bool _ConjRhs>
+class gebp_traits<QInt8, QUInt8, _ConjLhs, _ConjRhs>
+{
+public:
+  typedef QInt8 LhsScalar;
+  typedef QUInt8 RhsScalar;
+  typedef QInt32 ResScalar;
+
+  enum {
+    // register block size along the M and N directions
+    // One for the current implementation
+    nr = 1,
+    mr = 1,
+    // Progress made at each iteration of the product loop
+    // also 1 for the current implementation
+    LhsProgress = 1,
+    RhsProgress = 1
+  };
+};
+
+// Mat-Mat product of a signed 8bit lhs with an unsigned 8bit rhs
+template<typename Index, typename DataMapper, int mr, int nr, bool ConjugateLhs, bool ConjugateRhs>
+struct gebp_kernel<QInt8, QUInt8, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>
+{
+  EIGEN_DONT_INLINE
+  void operator()(const DataMapper& res, const QInt8* blockA, const QUInt8* blockB,
+                  Index rows, Index depth, Index cols, QInt32 alpha,
+                  Index strideA=-1, Index strideB=-1, Index offsetA=0, Index offsetB=0);
+};
+
+template<typename Index, typename DataMapper, int mr, int nr, bool ConjugateLhs, bool ConjugateRhs>
+EIGEN_DONT_INLINE
+void gebp_kernel<QInt8, QUInt8, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>
+::operator()(const DataMapper& res, const QInt8* blockA, const QUInt8* blockB,
+             Index rows, Index depth, Index cols, QInt32 alpha,
+             Index strideA, Index strideB, Index offsetA, Index offsetB)
+{
+  EIGEN_STATIC_ASSERT(!ConjugateLhs, YOU_MADE_A_PROGRAMMING_MISTAKE);
+  EIGEN_STATIC_ASSERT(!ConjugateRhs, YOU_MADE_A_PROGRAMMING_MISTAKE);
+
+  eigen_assert(alpha.value == 1);
+  eigen_assert(strideA == -1);
+  eigen_assert(strideB == -1);
+  eigen_assert(offsetA == 0);
+  eigen_assert(offsetB == 0);
+
+  eigen_assert(rows > 0);
+  eigen_assert(cols > 0);
+  eigen_assert(depth > 0);
+  eigen_assert(blockA);
+  eigen_assert(blockB);
+
+  for (Index j = 0; j < cols; ++j) {
+    Index startB = j * depth;
+
+    for (Index i = 0; i < rows; ++i) {
+      Index startA = i * depth;
+
+      for (Index k = 0; k < depth; ++k) {
+        res(i, j) += blockA[startA + k] * blockB[startB + k];
+      }
+    }
+  }
+}
+#endif
+
+
+}  // namespace internal
+}  // namespace Eigen
+
+
+
+#endif  // EIGEN_CXX11_FIXED_POINT_MAT_MAT_PRODUCT_NEON_H
-- 
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