TensorFlow: Initial commit of TensorFlow library.

TensorFlow is an open source software library for numerical computation
using data flow graphs.

Base CL: 107276108

1 files changed, 55 insertions, 0 deletions

diff --git a/tensorflow/core/kernels/argmax_op.h b/tensorflow/core/kernels/argmax_op.h
new file mode 100644
index 0000000000..41734f3254
--- /dev/null
+++ b/tensorflow/core/kernels/argmax_op.h
@@ -0,0 +1,55 @@
+#ifndef TENSORFLOW_KERNELS_ARGMAX_OP_H_
+#define TENSORFLOW_KERNELS_ARGMAX_OP_H_
+// Generator definition for ArgMaxOp, must be compilable by nvcc.
+
+#include "tensorflow/core/platform/port.h"
+#include "tensorflow/core/framework/tensor_types.h"
+#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
+
+namespace tensorflow {
+
+namespace functor {
+
+template <typename Device, typename T>
+struct ArgMax {
+#define DECLARE_COMPUTE_SPEC(Dims)                                     \
+  EIGEN_ALWAYS_INLINE static void Reduce##Dims(                        \
+      const Device& d, typename TTypes<T, Dims>::ConstTensor input,    \
+      const int32 dimension,                                           \
+      typename TTypes<int64, Dims - 1>::Tensor output) {               \
+    output.device(d) = input.argmax(dimension).template cast<int64>(); \
+  }
+
+  DECLARE_COMPUTE_SPEC(1);
+  DECLARE_COMPUTE_SPEC(2);
+  DECLARE_COMPUTE_SPEC(3);
+  DECLARE_COMPUTE_SPEC(4);
+  DECLARE_COMPUTE_SPEC(5);
+
+#undef DECLARE_COMPUTE_SPEC
+};
+
+template <typename Device, typename T>
+struct ArgMin {
+#define DECLARE_COMPUTE_SPEC(Dims)                                     \
+  EIGEN_ALWAYS_INLINE static void Reduce##Dims(                        \
+      const Device& d, typename TTypes<T, Dims>::ConstTensor input,    \
+      const int32 dimension,                                           \
+      typename TTypes<int64, Dims - 1>::Tensor output) {               \
+    output.device(d) = input.argmin(dimension).template cast<int64>(); \
+  }
+
+  DECLARE_COMPUTE_SPEC(1);
+  DECLARE_COMPUTE_SPEC(2);
+  DECLARE_COMPUTE_SPEC(3);
+  DECLARE_COMPUTE_SPEC(4);
+  DECLARE_COMPUTE_SPEC(5);
+
+#undef DECLARE_COMPUTE_SPEC
+};
+
+}  // namespace functor
+
+}  // namespace tensorflow
+
+#endif  // TENSORFLOW_KERNELS_ARGMAX_OP_H_