tf.reduce_any SciSharp#396

Oceania2018 · Oceania2018 · commit f61e260bfe24 · 2019-09-18T07:21:59.000-05:00
diff --git a/src/TensorFlowNET.Core/APIs/tf.math.cs b/src/TensorFlowNET.Core/APIs/tf.math.cs
@@ -389,6 +389,20 @@ public static Tensor truediv(Tensor x, Tensor y, string name = null)
         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>
diff --git a/src/TensorFlowNET.Core/APIs/tf.variable.cs b/src/TensorFlowNET.Core/APIs/tf.variable.cs
@@ -64,5 +64,8 @@ public RefVariable get_variable(string name,
                 trainable: trainable,
                 collections: collections);
         }
+
+        public VariableScope get_variable_scope()
+            => Tensorflow.variable_scope.get_variable_scope();
     }
 }
diff --git a/src/TensorFlowNET.Core/Operations/gen_math_ops.cs b/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
@@ -632,6 +632,13 @@ public static Tensor _abs(Tensor x, string name = null)
             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 });
diff --git a/src/TensorFlowNET.Core/Operations/math_ops.cs b/src/TensorFlowNET.Core/Operations/math_ops.cs
@@ -361,6 +361,14 @@ public static Tensor reduce_logsumexp(Tensor input_tensor, int[] axis = null, bo
             });
         }
 
+        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);

Original file line number	Diff line number	Diff line change
`@@ -64,5 +64,8 @@ public RefVariable get_variable(string name,`
`64`	`64`	`trainable: trainable,`
`65`	`65`	`collections: collections);`
`66`	`66`	`}`
	`67`	`+`
	`68`	`+ public VariableScope get_variable_scope()`
	`69`	`+ => Tensorflow.variable_scope.get_variable_scope();`
`67`	`70`	`}`
`68`	`71`	`}`
Original file line number	Diff line number	Diff line change
`@@ -632,6 +632,13 @@ public static Tensor _abs(Tensor x, string name = null)`
`632`	`632`	`return _op.outputs[0];`
`633`	`633`	`}`
`634`	`634`
	`635`	`+ public static Tensor _any<Tx, Ty>(Tx input, Ty axis, bool keep_dims = false, string name = null)`
	`636`	`+ {`
	`637`	`+ var _op = _op_def_lib._apply_op_helper("Any", name, new { input, reduction_indices = axis, keep_dims });`
	`638`	`+`
	`639`	`+ return _op.outputs[0];`
	`640`	`+ }`
	`641`	`+`
`635`	`642`	`public static Tensor _max<Tx, Ty>(Tx input, Ty axis, bool keep_dims=false, string name = null)`
`636`	`643`	`{`
`637`	`644`	`var _op = _op_def_lib._apply_op_helper("Max", name, new { input, reduction_indices = axis, keep_dims });`
Original file line number	Diff line number	Diff line change
`@@ -361,6 +361,14 @@ public static Tensor reduce_logsumexp(Tensor input_tensor, int[] axis = null, bo`
`361`	`361`	`});`
`362`	`362`	`}`
`363`	`363`
	`364`	`+ public static Tensor reduce_any(Tensor input_tensor, int[] axis = null, bool keepdims = false, string name = null)`
	`365`	`+ {`
	`366`	`+ var r = _ReductionDims(input_tensor, axis);`
	`367`	`+ var max = (axis != null) ? gen_math_ops._any(input_tensor, axis, keepdims, name) :`
	`368`	`+ gen_math_ops._any(input_tensor, r, keepdims, name);`
	`369`	`+ return _may_reduce_to_scalar(keepdims, axis, max);`
	`370`	`+ }`
	`371`	`+`
`364`	`372`	`public static Tensor reduce_max(Tensor input_tensor, int[] axis = null, bool keepdims = false, string name = null)`
`365`	`373`	`{`
`366`	`374`	`var r = _ReductionDims(input_tensor, axis);`