tf.raw_ops.DebugNumericSummary Debug Numeric Summary Op.  View aliases  Compat aliases for migration 
See Migration guide for more details. tf.compat.v1.raw_ops.DebugNumericSummary  
tf.raw_ops.DebugNumericSummary(
    input, device_name='', tensor_name='', debug_urls=[],
    lower_bound=float('-inf'), upper_bound=float('inf'),
    mute_if_healthy=False, gated_grpc=False, name=None
)
 Provide a basic summary of numeric value types, range and distribution. output: A double tensor of shape [14 + nDimensions], where nDimensions is the number of dimensions of the tensor's shape. The elements of output are: [0]: is initialized (1.0) or not (0.0). [1]: total number of elements [2]: NaN element count [3]: generalized -inf count: elements <= lower_bound. lower_bound is -inf by default. [4]: negative element count (excluding -inf), if lower_bound is the default -inf. Otherwise, this is the count of elements > lower_bound and < 0. [5]: zero element count [6]: positive element count (excluding +inf), if upper_bound is the default +inf. Otherwise, this is the count of elements < upper_bound and > 0. [7]: generalized +inf count, elements >= upper_bound. upper_bound is +inf by default. Output elements [1:8] are all zero, if the tensor is uninitialized. [8]: minimum of all non-inf and non-NaN elements. If uninitialized or no such element exists: +inf. [9]: maximum of all non-inf and non-NaN elements. If uninitialized or no such element exists: -inf. [10]: mean of all non-inf and non-NaN elements. If uninitialized or no such element exists: NaN. [11]: variance of all non-inf and non-NaN elements. If uninitialized or no such element exists: NaN. [12]: Data type of the tensor encoded as an enum integer. See the DataType proto for more details. [13]: Number of dimensions of the tensor (ndims). [14+]: Sizes of the dimensions.
 


 Args
  input   A Tensor. Input tensor, non-Reference type.  
  device_name   An optional string. Defaults to "".  
  tensor_name   An optional string. Defaults to "". Name of the input tensor.  
  debug_urls   An optional list of strings. Defaults to []. List of URLs to debug targets, e.g., file:///foo/tfdbg_dump, grpc:://localhost:11011.  
  lower_bound   An optional float. Defaults to float('-inf'). (float) The lower bound <= which values will be included in the generalized -inf count. Default: -inf.  
  upper_bound   An optional float. Defaults to float('inf'). (float) The upper bound >= which values will be included in the generalized +inf count. Default: +inf.  
  mute_if_healthy   An optional bool. Defaults to False. (bool) Do not send data to the debug URLs unless at least one of elements [2], [3] and 7 is non-zero.  
  gated_grpc   An optional bool. Defaults to False. Whether this op will be gated. If any of the debug_urls of this debug node is of the grpc:// scheme, when the value of this attribute is set to True, the data will not actually be sent via the grpc stream unless this debug op has been enabled at the debug_url. If all of the debug_urls of this debug node are of the grpc:// scheme and the debug op is enabled at none of them, the output will be an empty Tensor.  
  name   A name for the operation (optional).   
 


 Returns   A Tensor of type float64.