tf.reduce_any #396

src/TensorFlowNET.Core/APIs/tf.math.cs

@@ -389,6 +389,20 @@ namespace Tensorflow
         public Tensor range(object start, object limit = null, object delta = null, TF_DataType dtype = TF_DataType.DtInvalid, string name = "range")
             => math_ops.range(start, limit: limit, delta: delta, dtype: dtype, name: name);
 
+        /// <summary>
+        /// Computes the "logical or" of elements across dimensions of a tensor.
+        /// </summary>
+        /// <param name="input_tensor">The boolean tensor to reduce.</param>
+        /// <param name="axis">The dimensions to reduce.</param>
+        /// <param name="keepdims">If true, retains reduced dimensions with length 1.</param>
+        /// <param name="name"></param>
+        /// <returns>The reduced tensor.</returns>
+        public Tensor reduce_any(Tensor input_tensor, int[] axis = null, bool keepdims = false, string name = null)
+            => math_ops.reduce_any(input_tensor, axis: axis, keepdims: keepdims, name: name);
+
+        public Tensor reduce_any(Tensor input_tensor, int axis = 0, bool keepdims = false, string name = null)
+            => math_ops.reduce_any(input_tensor, axis: new[] { axis }, keepdims: keepdims, name: name);
+
         /// <summary>
         /// Computes the "logical and" of elements across dimensions of a tensor.
         /// </summary>

src/TensorFlowNET.Core/APIs/tf.variable.cs

@@ -64,5 +64,8 @@ namespace Tensorflow
                 trainable: trainable,
                 collections: collections);
         }
+
+        public VariableScope get_variable_scope()
+            => Tensorflow.variable_scope.get_variable_scope();
     }
 }

src/TensorFlowNET.Core/Operations/gen_math_ops.cs

@@ -632,6 +632,13 @@ namespace Tensorflow
             return _op.outputs[0];
         }
 
+        public static Tensor _any<Tx, Ty>(Tx input, Ty axis, bool keep_dims = false, string name = null)
+        {
+            var _op = _op_def_lib._apply_op_helper("Any", name, new { input, reduction_indices = axis, keep_dims });
+
+            return _op.outputs[0];
+        }
+
         public static Tensor _max<Tx, Ty>(Tx input, Ty axis, bool keep_dims=false, string name = null)
         {
             var _op = _op_def_lib._apply_op_helper("Max", name, new { input, reduction_indices = axis, keep_dims });

src/TensorFlowNET.Core/Operations/math_ops.cs

@@ -361,6 +361,14 @@ namespace Tensorflow
             });
         }
 
+        public static Tensor reduce_any(Tensor input_tensor, int[] axis = null, bool keepdims = false, string name = null)
+        {
+            var r = _ReductionDims(input_tensor, axis);
+            var max = (axis != null) ? gen_math_ops._any(input_tensor, axis, keepdims, name) :
+                gen_math_ops._any(input_tensor, r, keepdims, name);
+            return _may_reduce_to_scalar(keepdims, axis, max);
+        }
+
         public static Tensor reduce_max(Tensor input_tensor, int[] axis = null, bool keepdims = false, string name = null)
         {
             var r = _ReductionDims(input_tensor, axis);