TensorFlow Python reference documentation

tf.a11 variables()... 112 tf trainable variables( ...112 tt. moving average variables() 113 tf initialize all variables( 113 tf initialize variables(var list, name=init 113 tf assert variables initialized(var list-None 114 115 class tf train. Saver 115 t. train. latest checkpoint(checkpoint dir 1 atest f1⊥ ename=None)...... .123 tf train get checkpoint state(checkpoint dir, 1 atest filename=None).........124 tf train update checkpoint state(save dir model checkpoint path, all model checkpoint paths=None, latest filename-None) 125 125 tf. get variable(name, shape=None, dtype=tf float32 initializer=None, trainable=True, collections=None).... 125 tf. get variable scope ( tf make template(name, func 大 kwargs) 127 tf variable op scope(values, name, default name, initializer=None 130 tf variable scope(name or scope, reuse=None, ini tia1izer=None)... 131 t f constant initializer(value=0.0, dtype=tf float32) 13 tf random normal initializer(mean=0.0, stddev=l 0 seed=None, dtype=tf float32 133 tf truncated normal initializer(mean=0.0, stddev=l0, seed-None, typo=tf,f1oat32).........,...,...,...,...,...,...,...,...,134 tf random uni form initializer(minval=0.0, maxval=l0, seed=None, dtype=tf.f⊥oat32)... 35 tf uniform unit scaling initializer(factor=l0, seed=none dtype=tf,f1oa七32)... 136 tf zeros initializer(shape, dt ype=tf float32) .137 tf scatter update(ref, indices, updates, use locking-None, name=None),... 138 tf scatter add(ref, indices, updates, use locking=None, name=None)............. ∴......140 tf scatter sub(ref, indices, updates, use locking=None, name=None .142 tf sparse mask(a, mask indices, name=None) 144 class tf. Indexedsices 145 a..:::::::::::::a: ,148 149 tf string to number(string tensor, out type=None name=None)........... 149 t土. to double( X name=! To Double')...... 150 tf to float(x, name- ToFloat' 150 t.tobf1oat16(x;name=oBF1oat16)..............151 tf. to int32(x,name-" ToInt32").........152 tf to int64(x, name='ToInt64) 152 tf cast(x, dtype, name=None) 153 154 tf shape(input, name=None) 154 tf size( input,nane=None)............, 日 ∴4155 tf rank(input, name=None 155 tf. reshape( tensor, shape,name=None)...... 156 t. squeeze(input, squeeze dims=None, name=None) 158 tf. expand dims( input,dim,name-None)....................159 .160 tf.sice( input, begin,size,name-None).....................,160 tf split(split dim, num split, value, name=' ') 162 tf tile (input, multiples, name=None).......... ∴163 tf pad(input, paddings, name=None) tf concat(concat dim, values, name='concat)... 165 tf. pack( values,name='pack!)......,...,......,...,...............166 tf unpack(value, num=None, name=unpack ).. ,167 tf reverse sequence(input, seg lengths, sea dim, batch dim=None name=None) 168 tf reverse(tensor, dims, name=None 170 七f. transpose(a,perm=None,name=' transpose')..................171 tf. space to depth( input, block size,name=None)......... .173 tf. depth to space( input,b1 ock size,nae=None)...............,175 tf gather(params, indices, validate indices=None, name=None)......,.....177 tt. dynamic partition (data, partitions, num partitions, name-None)........ 178 tf dynamic stitch(indices, data, name-None)........... 181 tf boolean mask(tensor, mask, name=boolean mask) 182 184 tf shape n(input, name=None) 184 tf. unique with counts(x,name=NOne),...,...,...,... ∴184 185 188 tf,add(x,y,name=None)......,...,...,...,...,...,,...,188 t. suh(x, y, name=None) 189 tf.mu1(x,Y,name-None)......... .:::::::.:·aa.aaaa.::::::a.: a00000000 190 tf div(x, y, name-None) 190 tf. truediv(x,Y,name=lone)....................................,191 t.f1 cordis(x,y,name=None).........,...,...,.........,192 tf mod(x, y, name=None) ,193 tf. cross(a b, nane=None) 193 194 tf,addn( inputs,nare=None)......... 194 t土.abs(x,name=None) 195 tf. neg(x, name=None)... 196 t. sign(x, name=None 196 tf inv(x, name-None).. 197 tf.sq1uare(x,nane=None)...... ,197 tf round(x, name=None). 198 t.sqrt(x,name=None)...... 199 tf. rsqrt(x, name=None 199 tt pow(x, y, name=None) 200 tf,exp(x,name-None)......,...,...,...,...,,,... 201 t王.1og(x,name=None)...... 201 tf ceil(x, name-None) 202 tf floor(x, name=None) 202 tf. maxmum(x,y,name=None)......... 203 tf, IIlImuIm(x,y,are=None)...,,... 203 tf. cos(x, name=None) 204 tf. sin(x, name=None) 翻着DD 204 t. lgamma(x, name=None 205 tf,er(x,nare=Nnle)........,, 206 t土.erC(x,name=None) ∴206 自音自着·D 207 t王.diag( diagona1;name=None)...... 207 tf, transpose(a,perm-None,name-' transpose")...,......,...,...208 t. matmul(a, b, transpose a=False, transpose b=Falser .s_sparse=False, b_is_ sparse=False, name=None)...209 tf batch matmul (x, y, ad- x-None, adi] y-None, name-Nonc ). 210 tf matrix determinant (input, name-None) 212 tf. atch matrix determinant( input;name-None).........,...,21 tf. matrix inverse( input,name=one),........., 213 tf. atch matrix inverse( nput,name=None)...............,...,214 tf. cho1esky( input;name=None)...... 214 t.f. batch cholesky(input, name=None .215 tf.se1 f adioint eio( input,name=None)..................216 t f batch self adjoint eig(input, name=None 217 tf. matrix solve(matrix, rhs, name=None)............... 217 tf batch matrix solve(matrix rhs, name-None).. .218 tf matrix triangular solve (matrix, rhs, lower=None, name-None)............,219 tt. batch matrix triangular solve(matrix, rhs, lower=None, name=NOne)... 220 tf matrix solve ls(matrix, rhs, 12 regularizer=0.0, fast=True, name=None)........... 221 tf batch matrix solve ls(matrix, rhs, 12 regularizer=0Or fast=True, name=None).. 1看 223 ..:::.:.:.·· 225 tf. complex(rea1,imag;name=None)............ 225 tf.coIp1 ex abs(x,name=None)..................,...,..................226 t. conj(in name=None) ∴226 tf imag(in, name=None 227 t土.real(in,name=None)... 228 tf. fft2d(in, name-None)............. 229 tf. if=t2d(in, name-None) 229 .::::::::::.::.:::::::·:::a:.:a:::::.: 230 tt reduce sum(input tensor, reauction indices=None, keep dims=False, name=None) tf reduce prod(input tensor, reduction indices=None r keep dims=False, name=None) 231 tf reduce min (input tensor, reduction indices=none, keep dims=False, name=None) 232 tt reduce max (input tensor, reauction indices=None keep dims=False, name=None) tf reduce mean (input tensor, reduction indices=None keep dims=Ea1se,name=lone)......,..., 234 tf reduce all(input tensor, reduction indices=none, keep dims= False,name=None)..................................235 tf reduce any (input tensor, reauction indices-Noner keep dims=False, name=None) 236 tf accumulate n(inputs, shape=None, tensor dt ype=None, name-None)∴....237 238 tf segment sum(data, segment ids, name=None)......... 239 tf segment prod(cata, segment ids, name=None) tf. segment minl( datar segment ids,Iiae=Nore).........,...,242 tt segment max(data, segment ias, name=None) 243 tf. segment mean(data, segment ids;name=None)............245 tf unsorted segment sum(data, segment ids, num segments, name=NOne)........... .246 tf sparse segment sum(datar indices, segment ids, name=None).....,....... 248 tf sparse segment mean(data, indices, segment ids, name=None)... ∴249 tf sparse segment sqrt n(data, indices, segment. ids, name=None ∴250 251 t. argmin (input, dimension, name=None) 251 tf argmax(input, dimension, name-None) 252 tf. listdiff(x, y, name=None) 253 tf. where( input,name-None).........,...,...,...,...,...............,254 tf. unique(x, name=None) 1看看 255 tf edit distance(hypothesis, truth, normalize-True, name=edit distance)..,....... 256 t. invert permutation(x;name=None)...............258 259 tf. scalar mu1(sca1ar,x)...... 259 tf sparse segment sart n grad(grad, indices, segment ids, output dimo, name-None)................ 259 260 261 tf identity(input, name=None) 261 tf tuple(tensors, name=None, control inputs=None 262 tf group(*inputs, **kwargs) 263 tf.noop(name=None)......... tf, ount ur to(r∈f,1init,aane=None)........................264 tt cond(pred, fnl, =n2, name=None) 265 266 tf.1 giCa1and(x, vr name=None)...... .:::.::a..a:a·.a::::: 266 t.1 giCa⊥not(x;name=Ione)......... 267 tf logical or(x, y, name=None) t.⊥ giCA1xor(x;y;name= Logica⊥xor') ∴268 翻看 268 tf equal(x, y, name=None) 268 tf. not equa1(x,y,name-None).................. 269 tf. less(x, y, name=None) 269 tf.1 ess equa1(x,y,nane=None)......,...,...,...,... 270 tf. greater(x,y,nare=lone)......... 271 tf. greater equal(x, y, name=None) 271 tf. select( ondition t;e, name=NOne)......,............,272 tt. where(input, name=None) .273 274 t土. is finite( xr name=None).... 275 tf is inf(x, namc-None) 275 tf is nan(x, name-None) 276 tf. verify tensor a11 finite(t,msg,name-None)..................,276 tf check numerics(tensor, message name=None) ∴277 tf. add check numerics ops()...... 277 tf Assert (condition, data, summarize=None, name=None)..278 tf Print (input data, message=None, first n=None, Summarize-None,name-None).........278 279 281 t. image decode jpeg(contents, channels=, ratio=None, fancy upscaling=None, try recover truncated=None, acceptable fraction=None, name=None) 282 tf image encode ipeg(image, format=None, quality=None, progressive=None, optimize size-None, thr oma downsampling=None, density unit=None, x density=None, y density=None, xmp metadata=None, name=None)......283 t. image decode png(contents, channels=None, dtype=None, name=NOne)... 285 tf. image encode png(image, compression=None, name=None).286 287 tf image. resize images(images, new height, new width method=0, align corners= False)......287 tf image. resize area(images, size, align corners=None, name=None)............. 289 tf image. resize bicubic(images, size, align corners=None, name=NOne)......,,...,,,... 290 tf image. resize bilinear (images, size, align corners=None, name=None)∴ 291 tf image. resize nearest nei ghbor(images, sizer align corners=None, name=None) .291 ·,:,日看 292 tf image. resize image with crop or pad(image, target height, target width)...... 292 tf image pad to bounding box(image, offset height o王 fset width; target height; target width)...... ..293 tf image. crop to bounding box(image, offset height, offset width, target height; target width)......... 294 t f. image extract glimpse(input, size, of=sets, centered-Nonc, normalized-None, uniform noise-None, name=None 296 ...297 tf. image.f1 ip up down( image)............ 297 tf. image, randoin f1 ip up down(image,seed=None).........298 t. image flip left right(image) 299 tf. image. random f1ip1 eft right( image, seed=None).............299 t. image transpose image(image) 300 301 tf image rgb to grayscale (images) 302 tf image grayscale to rgb(images) 302