Skip to main content

export - Simple example of NetGraph running in MXNet?


There is an great example of exporting a NetGraph (that was trained in Mathematica) into the MXNet's format.


However, I think there's a bug or something is wrong with the answer, because once exported the file refuses to load into mxnet.


I've cleaned the old answer (which is broken) into something that works:


<< MXNetLink`;
<< NeuralNetworks`;
<< GeneralUtilities`;
net = NetChain[{ConvolutionLayer[20, {5, 5}], ElementwiseLayer[Ramp], 
   PoolingLayer[{2, 2}, {2, 2}], ConvolutionLayer[50, {5, 5}], 

   ElementwiseLayer[Ramp], PoolingLayer[{2, 2}, {2, 2}], 
   FlattenLayer[], DotPlusLayer[500], ElementwiseLayer[Ramp], 
   DotPlusLayer[10], SoftmaxLayer[]}, 
  "Output" -> NetDecoder[{"Class", Range[0, 9]}], 
  "Input" -> NetEncoder[{"Image", {28, 28}, "Grayscale"}]]
resource = ResourceObject["MNIST"];
trainingData = ResourceData[resource, "TrainingData"];
testData = ResourceData[resource, "TestData"];
trained = 
 NetTrain[net, trainingData, ValidationSet -> testData, 

  MaxTrainingRounds -> 3]
jsonPath = "~/MNIST-symbol.json";
paraPath = "~/MNIST-0000.params";
Export[jsonPath, ToMXJSON[trained][[1]], "String"];
f[str_] := 
  If[StringFreeQ[str, "Arrays"], str, 
   StringReplace[
    StringSplit[str, ".Arrays."] /. {a_, b_} :> 
      StringJoin[{"arg:", a, "_", b}], {"Weights" -> "weight", 
     "Biases" -> "bias"}]];

plan = ToMXPlan[trained];
NDArrayExport[paraPath, 
 NDArrayCreate /@ KeyMap[f, plan["ArgumentArrays"]]]

Now, yes we can load it back into MMA alright, but when it comes time to try it with MXNet for reals, we start hitting various snags when trying to load the symbol/params into a module so we can actually use the network:


import mxnet as mx (* python code that loads an runs the model *)
sym, arg_params, aux_params = mx.model.load_checkpoint('MNIST', 0)
from sklearn.datasets import fetch_mldata
mnist = fetch_mldata('MNIST original')
batch_size = 2

iter = mx.io.NDArrayIter(mnist['data'][:6], mnist['target'][:6], batch_size)
mod = mx.mod.Module(symbol=sym, context=mx.cpu(), data_names=['Input'], label_names=None)
mod.bind(for_training=False, data_shapes = [('Input', (batch_size, 1, 28, 28))])
mod.set_params(arg_params, aux_params)
print(mod.predict(iter))

enter image description here enter image description here


I've heard this functionality is coming in future versions, but I'd really like to start using the nets I've trained in a real setting. Any ideas?



Answer



In my question Example of NetChain running in MXNet cause Error and re-post in Wolfram Community



Thanks for Mike Sollami gave nice code to get the perfect result.


enter image description here


enter image description here


enter image description here


enter image description here


Comments

Post a Comment

Popular posts from this blog

functions - Get leading series expansion term?

Given a function f[x] , I would like to have a function leadingSeries that returns just the leading term in the series around x=0 . For example: leadingSeries[(1/x + 2)/(4 + 1/x^2 + x)] x and leadingSeries[(1/x + 2 + (1 - 1/x^3)/4)/(4 + x)] -(1/(16 x^3)) Is there such a function in Mathematica? Or maybe one can implement it efficiently? EDIT I finally went with the following implementation, based on Carl Woll 's answer: lds[ex_,x_]:=( (ex/.x->(x+O[x]^2))/.SeriesData[U_,Z_,L_List,Mi_,Ma_,De_]:>SeriesData[U,Z,{L[[1]]},Mi,Mi+1,De]//Quiet//Normal) The advantage is, that this one also properly works with functions whose leading term is a constant: lds[Exp[x],x] 1 Answer Update 1 Updated to eliminate SeriesData and to not return additional terms Perhaps you could use: leadingSeries[expr_, x_] := Normal[expr /. x->(x+O[x]^2) /. a_List :> Take[a, 1]] Then for your examples: leadingSeries[(1/x + 2)/(4 + 1/x^2 + x), x] leadingSeries[Exp[x], x] leadingSeries[(1/x + 2 + (1 - 1/x...
Post a Comment
Read more

How to thread a list

I have data in format data = {{a1, a2}, {b1, b2}, {c1, c2}, {d1, d2}} Tableform: I want to thread it to : tdata = {{{a1, b1}, {a2, b2}}, {{a1, c1}, {a2, c2}}, {{a1, d1}, {a2, d2}}} Tableform: And I would like to do better then pseudofunction[n_] := Transpose[{data2[[1]], data2[[n]]}]; SetAttributes[pseudofunction, Listable]; Range[2, 4] // pseudofunction Here is my benchmark data, where data3 is normal sample of real data. data3 = Drop[ExcelWorkBook[[Column1 ;; Column4]], None, 1]; data2 = {a #, b #, c #, d #} & /@ Range[1, 10^5]; data = RandomReal[{0, 1}, {10^6, 4}]; Here is my benchmark code kptnw[list_] := Transpose[{Table[First@#, {Length@# - 1}], Rest@#}, {3, 1, 2}] &@list kptnw2[list_] := Transpose[{ConstantArray[First@#, Length@# - 1], Rest@#}, {3, 1, 2}] &@list OleksandrR[list_] := Flatten[Outer[List, List@First[list], Rest[list], 1], {{2}, {1, 4}}] paradox2[list_] := Partition[Riffle[list[[1]], #], 2] & /@ Drop[list, 1] RM[list_] := FoldList[Transpose[{First@li...
Post a Comment
Read more

front end - keyboard shortcut to invoke Insert new matrix

I frequently need to type in some matrices, and the menu command Insert > Table/Matrix > New... allows matrices with lines drawn between columns and rows, which is very helpful. I would like to make a keyboard shortcut for it, but cannot find the relevant frontend token command (4209405) for it. Since the FullForm[] and InputForm[] of matrices with lines drawn between rows and columns is the same as those without lines, it's hard to do this via 3rd party system-wide text expanders (e.g. autohotkey or atext on mac). How does one assign a keyboard shortcut for the menu item Insert > Table/Matrix > New... , preferably using only mathematica? Thanks! Answer In the MenuSetup.tr (for linux located in the $InstallationDirectory/SystemFiles/FrontEnd/TextResources/X/ directory), I changed the line MenuItem["&New...", "CreateGridBoxDialog"] to read MenuItem["&New...", "CreateGridBoxDialog", MenuKey["m", Modifiers-...
Post a Comment
Read more