You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
/// Clips tensor values to a specified min and max.
379
-
/// </summary>
380
-
/// <remarks>
381
-
/// Given a tensor <paramref name="x"/>, this operation returns a tensor of the same type and shape
382
-
/// as <paramref name="x"/> with its values clipped to <paramref name="clip_value_min"/> and <paramref name="clip_value_max"/>.
383
-
/// Any values less than <paramref name="clip_value_min"/> are set to <paramref name="clip_value_min"/>. Any values greater than
384
-
/// <paramref name="clip_value_max"/> are set to <paramref name="clip_value_max"/>.
385
-
/// </remarks>
386
-
/// <param name="x">The tensor.</param>
387
-
/// <param name="clip_value_min">The minimum value to clip by. A 0 - D(scalar) tensor, or a tensor with the same shape as <paramref name="x"/>.</param>
388
-
/// <param name="clip_value_max">The minimum value to clip by. A 0 - D(scalar) tensor, or a tensor with the same shape as <paramref name="x"/>.</param>
summary: Returns a serialized KernelList protocol buffer containing KernelDefs for all registered kernels
63
+
syntax:
64
+
content: public static TensorFlow.TFBuffer GetAllRegisteredKernels (TensorFlow.TFStatus status = null);
65
+
parameters:
66
+
- id: status
67
+
type: TensorFlow.TFStatus
68
+
description: Status buffer, if specified a status code will be left here, if not specified, a <xref href="TensorFlow.TFException"></xref> exception is raised if there is an error.
Returns a serialized KernelList protocol buffer containing KernelDefs for all
88
+
kernels registered for the operation specified.
89
+
syntax:
90
+
content: public static TensorFlow.TFBuffer GetAllRegisteredKernels (string name, TensorFlow.TFStatus status = null);
91
+
parameters:
92
+
- id: name
93
+
type: System.String
94
+
description: The operation to look up.
95
+
- id: status
96
+
type: TensorFlow.TFStatus
97
+
description: Status buffer, if specified a status code will be left here, if not specified, a <xref href="TensorFlow.TFException"></xref> exception is raised if there is an error.
98
+
return:
99
+
type: TensorFlow.TFBuffer
100
+
description: The registered kernels for the specified operation.
0 commit comments