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Mandar Chandorkar
@mandar2812
and now spire 0.14.1 is used as a direct dependency in DynaML
Israel Herraiz
@iht
i am running sbt and compiling right now
Mandar Chandorkar
@mandar2812
cool
Israel Herraiz
@iht
it works!!
Mandar Chandorkar
@mandar2812
:clap:
Israel Herraiz
@iht
i will update the issue i open with some context info
Mandar Chandorkar
@mandar2812
great
thanks for bringing this to my attention!
Israel Herraiz
@iht
thanks for fixing it!! DynaML is a great project!
Mandar Chandorkar
@mandar2812
because now tensorflow support in DynaML can move forward!
after you do sbt stage
you can run ./target/universal/stage/bin/dynaml
after you get the shell try two examples
import $file.scripts.mnist
this trains a tensorflow backed neural net on mnist
and try import $file.scripts.kernelModels
Israel Herraiz
@iht
ok, i am doing sbt stage
working :D
Mandar Chandorkar
@mandar2812
so you can see the DynaML shell?
Israel Herraiz
@iht
yes
Mandar Chandorkar
@mandar2812
also the two examples are working?
Israel Herraiz
@iht
yes
Mandar Chandorkar
@mandar2812
:+1:
Israel Herraiz
@iht
thanks again!
Mandar Chandorkar
@mandar2812
I hope you have fun messing around with DynaML!
if you ever feel like contributing code or improvements, you are always welcome
:)
Israel Herraiz
@iht
thank you
i will try
but the project is huuuuuuge!
i will have to study a lot :D
Mandar Chandorkar
@mandar2812
Yes its been in the works for more than 2 years
this is a good place to start
the github wiki is really not up to date
but the link is more or less
Israel Herraiz
@iht
ok
Mandar Chandorkar
@mandar2812
Hey @/all i added a script scripts/cifar.sc in the latest commit you can run it by import $file.scripts.cifar
it tests a convolutional NN architecture on the CIFAR-10 data set
Israel Herraiz
@iht
it does not compile for me
cifar.sc:55: reference to Tensor is ambiguous;
it is imported twice in the same scope by
import org.platanios.tensorflow.api._
and import _root_.breeze.linalg.{copy, inv, squaredDistanceLowPrio, where, Counter, MatrixConstructors, logNormalize, Counter2Like, diagLowPrio2, SliceVectorOps, csvread, minMax, diag, DenseVector, MatrixNotSymmetricException, sum, scaleAdd, BroadcastedColumns, CanPadRight, any, logAndNormalize, View, cond, eigSym, princomp, LinearAlgebraException, qrp, LU, VectorizedReduceUFunc, reverse, tile, roll, SliceMatrixOps, ImmutableNumericOps, MatrixLike, Broadcasted, LowPrioritySliceMatrix, String2File, argmax, MatrixSingularException, logdet, StorageVector, reshape, SliceVector, max, norm, LowPriorityCounter2, VectorBuilder, MatrixEmptyException, strictlyUpperTriangular, pinvLowPrio, argtopk, VectorConstructors, BroadcastedLike, clip, HashVector, qr, csvwrite, SparseVector, LowPriorityMatrix, det, Axis, all, DenseMatrix, rank, pinv, cholesky, QuasiTensor, isClose, Options, accumulate, softmax, CounterLike, min, scale, Counter2, Transpose, RangeToRangeExtender, TensorLike, CanPadLeft, ptp, padLeft, product, NotConvergedException, linspace, zipValues, upperTriangular, ZippedValues, Matrix, svd, dim, functions, flipud, diagLowPrio, hsplit, rot90, eig, argsort, mapValues, TransposeLowPrio, randomDouble, usingNatives, VectorOps, operators, PCA, sumLowPrio, Tensor, mapValuesLowPrio, BitVector, CSCMatrix, Broadcaster, randn, $times, mmwrite, lowerTriangular, ranks, axpy, trace, MatrixNotSquareException, convert, split, shuffle, LSMR, LapackException, InjectNumericOps, rand, normalize, vsplit, VectorLike, mpow, kron, NumericOps, strictlyLowerTriangular, logDiff, diff, squaredDistance, fliplr, cross, diffLowPrio, unique, cov, argmin, mapActiveValues, RandomGeneratorUFunc, randomInt, padRight, BroadcastedRows, SliceMatrix, support}
  def accuracy(images: Tensor, labels: Tensor): Float = {
                       ^
it looks like Tensor is imported both by breeze and tensorflow
Mandar Chandorkar
@mandar2812
yes
i updated the default imports in the shell
transcendent-ai-labs/DynaML@8926071
breeze also has a Tensor
going ahead, since the packages which are included with DynaML are huge, it might be wise to have a small set of default imports and leave the rest to some presets which the user can load with simple commands
Israel Herraiz
@iht
it now compiles with the latest commits
I get these values:
Train accuracy = 0.4066 Test accuracy = 0.3805
Mandar Chandorkar
@mandar2812
good, so its working