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Overview r1.9
Python API r1.9
Python API Guides
Overview r1.9
tf
tf.app
tf.bitwise
tf.compat
更新履歴
2018-07-26
tf
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Tensorflow
Python API r1.9
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tf-Overview 関連語
tensorflow
level
t
model
train
first
error
Base
absolute
smallest
axes
to_s
NaN
fn
ssi
div
identity
nt
fft
xor
specific
Multiplies
fed
individual
empty
to_i
bucket
comp
x64
library
at
per
object
true
same
sub
numbers
base64
on_
True
seed
Gamma
make
le
mod
linear
ing
parse
are
non
has
product
se
current
proto
Python
its
index
he
if
mask
two
logical
minimum
VERSION
real
it
nd
between
square
axis
log
nam
esp
ace.
scope
G
rap
()
with t
more
mean
set
Reader
global
norm
complex
equal
number
API
gr
ap
add
TensorFlow
as
get
dimension
on
random
the c
h.
one
is
an
by
shape
with
elements
value
and
in
element
wise
class
for
to
a
tensor
the
Module
Defined
init
Bring
public
interface
Modules
app
Generic
script
bitwise
representations
integers
compat
vs
compatibility
volatile
experimental
code
Dataset
pipelines
distributions
Core
helpers
Exception
estimator
.es
timator
absl
https
github
.com
gfile
util
Helpers
manipulate
Image
processing
decoding
keras
Implementation
Keras
meant
linalg
algebra
logging
Logging
losses
Loss
neural
networks
manip
Operators
math
Basic
arithmetic
Evaluation
related
nn
Wrappers
primitive
Neural
Net
NN
profiler
f.p
rofiler
functions
directly
TFRecord
formatted
pywrap
wrapper
SWIG
generated
bindings
Resource
management
saved
aved
sets
Tensorflow
Representation
guide
spectral
Spectral
DCT
FFT
RFFT
working
summary
ummary
sysconfig
System
configuration
test
Testing
tools
Support
models
Classes
AggregationMethod
listing
aggregation
methods
used
combine
AttrValue
onditionalAccumulatorBase
ConfigProto
DeviceSpec
possibly
partial
specification
device.
Dimension
Event
out
FixedLenFeature
FixedLenSequenceFeature
FixedLengthRecordReader
GPUOptions
GradientTape
Record
automatic
differentiation
Graph
represented
dataflow
GraphDef
GraphKeys
Standard
GraphOptions
HistogramProto
Identity
queued
work
both
key
InteractiveSession
interactive
contexts
such
shell
LMDBReader
LMDB
LogMessage
MetaGraphDef
NameAttrList
NodeDef
OpError
generic
raised
fails
node
performs
OptimizerOptions
PaddingFIFOQueue
supports
batching
PriorityQueue
prioritized
QueueBase
implementations
RandomShuffleQueue
produce
record
RegisterGradient
decorator
registering
RunMetadata
RunOptions
running
SessionLog
SparseFeature
SummaryMetadata
TFRecordReader
TFRecords
TensorArray
Class
wrapping
time
once
arrays
TensorInfo
TextLineReader
lines
delimited
newlines
VarLenFeature
Variables
How
To
overview
carry
defaults
provide
WholeFileReader
unit
capable
adapt
scale
weights
Asserts
condition
NoGradient
NotDifferentiable
Print
abs
accumulate
acosh
Connect
floating
angle
la
rgest
argmax
argmin
Supports
asinh
near
close
none
Static
asse
ran
k.
higher
ranks
Validate
return
Statically
asserts
assigning
adding
subtracting
atan2
arctangent
signs
atanh
betainc
beta
integral
bincount
Counts
occurrences
bitcast
Bitcasts
copying
Apply
Numpy
equivalent
new type
ceil
Checks
eqns
X
RHS
factorizations
ratio
norms
colocate
predicate
pred
else
false
confusion
onfusion
predictions
labels
conj
conjugate
indexed
cosh
up
Increments
until
reaches
limit
slicing
pairwise
cumprod
cumsum
Decorator
define
Decode
compressed
Decompress
csv
CSV
Each
maps
js
JSON
protocol
buffer
raw
Reinterpret
bytes
delete
Delete
DepthToSpace
dequantize
Dequantize
deserialize
Deserialize
concatenate
digamma
Psi
derivative
Lgamma
style
partition
Partitions
stitch
Interleave
edit
Levenshtein
sequences
einsum
enable
Enables
lifetime
program
encode
Encode
format
erf
Gauss
erfc
omplementary
executing
eagerly
enabled
expand
dims
expm
extract
Extract
images
put
them
eye
Construct
FakeQuantWithMinMaxArgs
via
scalars
FakeQuantWithMinMaxVars
Fa
ua
WithMinMaxVarsPerChannel
Fast
filled
specify
floordiv
rounding
toward
the most
floormod
seeds
operation s
hould
feeding
hese
symbolic
derivatives
group
groups
const
Gives
TF
runtime
hessians
Hessian
bins
Bins
igamma
igammac
imag
imaginary
import
Imports
invert
inf
nan
Tests
been
lbeta
reducing
lgamma
lin
linspace
kernels
AND
NOT
numpy
template
Given
wrap
so
sharing
matching
glob
patterns
producing
Copy
setting
everything
outside
central
innermost
invertible
ls
t-square
problems
meshgrid
Broadcasts
evaluation
grid
allocate
MODEL
VARIABLES
maintain
averages
multiply
numerical
Does
nothing
Only
useful
edges
regularizer
Use
prevent
regularization
vectors
DEPRECATED
Same
above
just
pad
Pads
protos
dict
SequenceExample
passes
through
pow
the power
print
func
Wraps
uses
qr
QR
Quantize
Please
instead
crop
crops
gamma
poisson
Poisson
shuffle
shuffles
range
read
Reads
realdiv
logsumexp
regex
replace
Replaces
pattern
rewrite
register
conversion
Registers
converting
base
report
paddings
Calculate
block
Clears
resets
rint
closest
round
Rounds
nearest
rsqrt
saturate
Performs
saturating
times
referenced
Scatter
addition
subtraction
Subtracts
eig
eigen
eigvals
eigenvalues
representing
the first
positions
cell
Sets
setdiff
1d
lists
indication
sinh
SpaceToDepth
Fills
Masks
merge
Combines
reorder
Reorders
canonical
row
major
ordering
Resets
unchanged.
represent
retain
Retains
within
Slice
start
ndicator
indicator
Splits
squared
squeeze
Removes
stop
Stops
indexing
source
delimiter
strip
Strip
lead
trailing
whitespaces
strong
substr
substrings
subtract
svd
singular
tanh
dot
tile
tiling
timestamp
Provides
the time
since
epoch
seconds
crea
ted
rain
Permutes
perm
truediv
truncatediv
truncatemod
This
emulates
Group
together
counts
unravel
unstack
Unpacks
R-1
keep
below
shard
tes.
Deprecated
verify
contain
where
either
depending
loop
Repeat
body
Writes
recursively
Hurwitz
Other
Members
AUTO
REUSE
COMPILER
CX
X11
ABI
FLAG
GIT
CONSUMER
PRODUCER
MONOLITH
IC
BUILD
QUANTIZED
DTYPES
cached
compiler
cx
x11
abi
flag
git
monolithic
build
spec
half
newaxis
variant
entry
point
binary
Functions
contrib
objects
errors
flags
Import
router
abseil
io
image
initializers
high
Summary
operators
metrics
loader
f.s
Sparse
Tensors
user
ConditionalAccumulator
DType
TensorShape
FIFOQueue
names
representation
Session
Operation
sized
padding
different
every
step
SparseTensorValue
write
VariableScope
entire
name
op.
orthogonal
without
variance
Specifies
differentiable
Prints
acos
cosine
argument
arg
largest
asin
sine
positive
proper
iterable
least
atan
respect
tangent
BatchToSpace
4-D
another
boolean
broadcast
broadcasted
static
case
than
cholesky
Cholesky
decomposition
cond
container
dependencies
cos
count
nonzero
create
partitioned
cross
umulative
web
encoded
Convert
vector
minibatch
device
operator
divide
num
partitions
distance
generalized
contraction
arbitrary
exp
exponential
patches
args
channel
shapes
2d
2D
3d
3D
fill
Partitioner
shards
floor
When
foldl
foldr
gather
Gather
params
session
Gets
existing
Get
parameters
the global
glorot
The
Glorot
also
called
Xavier
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xs
guarantee
width
lower
upper
def
permutation
decreasing
strictly
increasing
last
Generates
interval
load
system
Loads
plugin
natural
logarithm
ndarray
does
map
match
band
determinant
equations
triangular
i.e.
moving
multinomial
no
hot
like
parallel
Stacks
Transforms
will
always
polygamma
decompositions
v2
quantized
Randomly
filename
any
join
Joins
uninitialized
required
reset
reshape
Reshapes
root
mul
scan
Reduces
update
self
adjoint
lf-a
djoint
Serialize
difference
sign
sin
Extracts
SpaceToBatch
rows
Multiply
ids
divided
softmax
Split
bool
strided
tan
double
trace
able
tuple
Finds
flat
while
zero
zeta
MIN
quint
py
this
manipulating
containing
column
be
layers
files
resource
conditional
accumulator
aggregating
dequeues
computation
collections
when
Variable
context
manager
defining
ones
scaling
creates
zeros
numerics
many
numeric
based
assign
Update
pace
regularized
incomplete
array
cast
Inf
systems
average
multiple
their
concat
Concatenates
control
convert
custom
safe
depth
SparseTensors
serialized
semantics
eager
thread
Inserts
output
Fake
inputs
remainder
Constructs
ifft
Inverse
finite
which
TensorProto
matmul
transpose
Transposes
Draws
samples
stack
Parses
Outputs
reciprocal
prod
reverse
Reverses
serialize
buckets
bfloat
GRAPH
DEF
version
qint
types
python
queue
implementation
order
Configuration
parsing
IndexedSlices
execution
Example
truncated
check
Adds
scalar
solve
Solves
clip
Clips
according
example
handle
Divides
vars
partitioner
unpacked
elems
histogram
initialize
tables
sigmoid
sequence
split
unique
uint
Operations
operations
length
records
dynamic
contents
constant
greater
less
negative
Create
decode
diag
new
initializes
space
Applies
sqrt
data
fixed
initialized
inverse
hyperbolic
dtype
Op
ref
operation
Return
division
single
fake
quant
quantize
Fourier
transform
fast
slice
reference
hash
int
unsorted
feature
See
use
Represents
collection
Wrapper
specified
maximum
diagonal
part
batched
placeholder
Public
gradients
slices
indices
gradient
generates
uniform
not
batch
Casts
Creates
size
ops
strings
outputs
dense
Initializer
integer
truth
local
distribution
holds
matrices
op
normal
each
scatter
updates
tf
file
graph
using
Compute
function
ondition
reduce
Converts
float
segment
segments
list
rank
string
Assert
min
ProtocolMessage
across
all
default
arguments
sum
assert
input
matrix
max
dimensions
given
initializer
SparseTensor
along
variable
deprecated
Tensor
values
from
into
or
type
variables
module
that
tensors
sparse
Computes
Returns
of
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