class tf.HistogramProto
bucket
Magic attribute generated for "bucket" proto field.
bucket_limit
Magic attribute generated for "bucket_limit" proto field.
max
Magic attribute generated for "max" proto field.
min
Magic attribute generated for "min" proto field.
num
Magic attribute generated for "num" proto field.
sum
Magic attribute generated for "sum" proto field.
sum_squares
Magic attribute generated for "sum_squares" proto field.
ByteSize()
Clear()
ClearExtension(extension_handle)
ClearField(field_name)
CopyFrom(other_msg)
Copies the content of the specified message into the current message.
The method clears the current message and then merges the specified message using MergeFrom.
other_msg
: Message to copy into the current one.DiscardUnknownFields()
FindInitializationErrors()
Finds required fields which are not initialized.
A list of strings. Each string is a path to an uninitialized field from the top-level message, e.g. "foo.bar[5].baz".
FromString(s)
HasExtension(extension_handle)
HasField(field_name)
IsInitialized(errors=None)
Checks if all required fields of a message are set.
errors
: A list which, if provided, will be populated with the field paths of all missing required fields.True iff the specified message has all required fields set.
ListFields()
MergeFrom(msg)
MergeFromString(serialized)
ParseFromString(serialized)
Parse serialized protocol buffer data into this message.
Like MergeFromString(), except we clear the object first and do not return the value that MergeFromString returns.
RegisterExtension(extension_handle)
SerializePartialToString()
SerializeToString()
SetInParent()
Sets the _cached_byte_size_dirty bit to true, and propagates this to our listener iff this was a state change.
WhichOneof(oneof_name)
Returns the name of the currently set field inside a oneof, or None.
__init__(**kwargs)
BUCKET_FIELD_NUMBER
BUCKET_LIMIT_FIELD_NUMBER
DESCRIPTOR
MAX_FIELD_NUMBER
MIN_FIELD_NUMBER
NUM_FIELD_NUMBER
SUM_FIELD_NUMBER
SUM_SQUARES_FIELD_NUMBER
Defined in tensorflow/core/framework/summary_pb2.py
.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/HistogramProto