TF import test resources loading precision fixes (#92)
* Fix precision issues when loading from CSV Signed-off-by: AlexDBlack <blacka101@gmail.com> * Small tweak Signed-off-by: AlexDBlack <blacka101@gmail.com>master
Alex Black
GitHub
parent
4fb9fa7748
commit
35ab4a72ba
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@ -55,6 +55,14 @@ import java.util.*;
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@Slf4j
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public class TFGraphMapper {
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/**
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* @deprecated Use static methods - {@link #importGraph(File)} etc
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*/
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@Deprecated
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public static TFGraphMapper getInstance(){
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return new TFGraphMapper();
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}
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/**
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* Import a frozen TensorFlow protobuf (.pb) file from the specified file
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*
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@ -594,7 +594,7 @@ public class TFGraphTestAllHelper {
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val key = modelDir + "/" + okey;
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// parse type directly
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val value = ArrayOptionsHelper.dataType(split[1]);
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DataType value = ArrayOptionsHelper.dataType(split[1]);
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// adding key directly
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//if (dtypes.containsKey(key))
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@ -672,12 +672,35 @@ public class TFGraphTestAllHelper {
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INDArray varValue;
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if(filtered.size() == 0){
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//Scalar
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float[] varContents;
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try(InputStream is = new BufferedInputStream(resources.get(i).getSecond().getInputStream())){
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varContents = Nd4j.readNumpy(is, ",").data().asFloat();
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String content = IOUtils.toString(resources.get(i).getSecond().getInputStream(), StandardCharsets.UTF_8);
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switch (type){
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case DOUBLE:
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case FLOAT:
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case HALF:
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case BFLOAT16:
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varValue = Nd4j.scalar(type, parseDouble(content));
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break;
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case LONG:
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case INT:
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case SHORT:
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case UBYTE:
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case BYTE:
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case UINT16:
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case UINT32:
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case UINT64:
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varValue = Nd4j.scalar(type, parseLong(content));
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break;
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case BOOL:
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varValue = Nd4j.scalar(parseBoolean(content));
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break;
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case UTF8:
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varValue = Nd4j.scalar(content);
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break;
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case COMPRESSED:
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case UNKNOWN:
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default:
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throw new UnsupportedOperationException("Unknown / not implemented datatype: " + type);
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}
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Preconditions.checkState(varContents.length == 1, "Expected length 1 content for scalar shape; got length %s", varContents.length);
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varValue = Nd4j.scalar(type, varContents[0]);
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} else {
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int[] varShape = new int[filtered.size()];
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for( int j=0; j<filtered.size(); j++ ){
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@ -716,18 +739,55 @@ public class TFGraphTestAllHelper {
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throw new IllegalStateException("Empty data but non-empty shape: " + resources.get(i).getSecond());
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}
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} else {
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content = content.replaceAll("False", "0");
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content = content.replaceAll("True", "1");
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val varContents = Nd4j.readNumpy(new ByteArrayInputStream(content.getBytes(StandardCharsets.UTF_8)), ",").data().asDouble();
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if(varShape.length == 1 && varShape[0] == 0) //Annoyingly, some scalars have shape [0] instead of []
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varShape = new int[0];
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if (varShape.length == 1) {
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if (varShape[0] == 0) {
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varValue = Nd4j.scalar(type, varContents[0]);
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} else {
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varValue = Nd4j.create(varContents, new long[]{varContents.length}, type);
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String[] cLines = content.split("\n");
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switch (type){
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case DOUBLE:
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case FLOAT:
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case HALF:
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case BFLOAT16:
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double[] dArr = new double[cLines.length];
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int x=0;
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while(x < dArr.length){
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dArr[x] = parseDouble(cLines[x]);
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x++;
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}
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} else {
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varValue = Nd4j.create(varContents, ArrayUtil.toLongArray(varShape), type);
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varValue = Nd4j.createFromArray(dArr).castTo(type).reshape('c', varShape);
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break;
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case LONG:
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case INT:
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case SHORT:
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case UBYTE:
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case BYTE:
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case UINT16:
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case UINT32:
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case UINT64:
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long[] lArr = new long[cLines.length];
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int y=0;
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while(y < lArr.length){
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lArr[y] = parseLong(cLines[y]);
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y++;
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}
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varValue = Nd4j.createFromArray(lArr).castTo(type).reshape('c', varShape);
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break;
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case BOOL:
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boolean[] bArr = new boolean[cLines.length];
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int z=0;
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while(z < bArr.length){
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bArr[z] = parseBoolean(cLines[z]);
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z++;
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}
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varValue = Nd4j.createFromArray(bArr).reshape('c', varShape);
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break;
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case UTF8:
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varValue = Nd4j.create(cLines).reshape('c', varShape);
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break;
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case COMPRESSED:
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case UNKNOWN:
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default:
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throw new UnsupportedOperationException("Unknown / not implemented datatype: " + type);
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}
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}
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} catch (NumberFormatException e) {
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@ -741,6 +801,39 @@ public class TFGraphTestAllHelper {
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return varMap;
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}
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private static long parseLong(String line){
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line = line.trim(); //Handle whitespace
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if(line.matches("-?\\d+\\.0+")){
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//Annoyingly, some integer data is stored with redundant/unnecessary zeros - like "-7.0000000"
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return Long.parseLong(line.substring(0, line.indexOf('.')));
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} else {
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return Long.parseLong(line);
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}
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}
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private static double parseDouble(String line){
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line = line.trim(); //Handle whitespace - some lines are like " -inf"
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if("nan".equalsIgnoreCase(line)){
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return Double.NaN;
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} else if("inf".equalsIgnoreCase(line)) {
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return Double.POSITIVE_INFINITY;
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} else if("-inf".equalsIgnoreCase(line)){
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return Double.NEGATIVE_INFINITY;
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} else {
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return Double.parseDouble(line);
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}
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}
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private static boolean parseBoolean(String line){
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line = line.trim();
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if(line.matches("1(\\.0*)?")){ //Booleans are ocassionally represented like 1.000000 or 0.000000
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return true;
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} else if(line.matches("0(\\.0*)?")){
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return false;
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}
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return Boolean.parseBoolean(line);
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}
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public static Pair<Double,Double> testPrecisionOverride(String testName){
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if("conv_4".equalsIgnoreCase(testName)){
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