Merge branch 'master' of https://github.com/emjotde/marian

marian/.project

@@ -85,6 +85,11 @@
 			<type>1</type>
 			<locationURI>PARENT-1-PROJECT_LOC/src/marian.h</locationURI>
 		</link>
+		<link>
+			<name>mnist.h</name>
+			<type>1</type>
+			<locationURI>PARENT-1-PROJECT_LOC/src/mnist.h</locationURI>
+		</link>
 		<link>
 			<name>tensor.cu</name>
 			<type>1</type>

src/tensor.cu

@@ -59,23 +59,34 @@ inline std::vector<T> Tokenize( const std::string &input
 
 void Tensor::Load(const std::string &path)
 {
+  size_t totSize = std::accumulate(pimpl_->shape().begin(), pimpl_->shape().end(),
+		  1, std::multiplies<int>());
+  cerr << "totSize=" << totSize << endl;
+  std::vector<float> hostData(totSize);
+
   fstream strm;
   strm.open(path.c_str());
 
-  size_t lineNum = 0;
   string line;
+  size_t ind = 0;
   while ( getline (strm, line) )
   {
 	cerr << line << '\n';
 	vector<Float> toks = Tokenize<Float>(line);
 	for (size_t i = 0; i < toks.size(); ++i) {
-		pimpl_->set(toks[i], lineNum, i);
+		hostData[ind] = toks[i];
 	}
 
-	++lineNum;
+	++ind;
   }
   strm.close();
 
+  Load(hostData);
+}
+
+void Tensor::Load(const std::vector<float> &values)
+{
+	pimpl_->set(values);
 }
 
 }

src/tensor.h

@@ -152,10 +152,12 @@ class TensorImpl {
       thrust::fill(data_.begin(), data_.end(), value);
     }
 
-    void set(value_type value, size_t x, size_t y) {
-    	assert(shape().size() == 2);
-    	size_t sizeRow = sizeof(Float) * shape()[1];
-    	data_[x + sizeRow * y] = value;
+    void set(const std::vector<Float> &values) {
+	  size_t totSize = std::accumulate(shape().begin(), shape().end(),
+			  1, std::multiplies<int>());
+	  std::cerr << "totSize=" << totSize << " " << values.size() << std::endl;
+	  assert(totSize == values.size());
+	  thrust::copy(values.begin(), values.end(), data_.begin());
     }
 
     std::string Debug() const
@@ -247,6 +249,7 @@ class Tensor {
     }
 
     void Load(const std::string &path);
+    void Load(const std::vector<float> &values);
 
 };
 

src/test.cu

@@ -12,7 +12,7 @@ int main(int argc, char** argv) {
   using namespace marian;
   using namespace keywords;
   
-  /*
+
   Expr x = input(shape={whatevs, 784}, name="X");
   Expr y = input(shape={whatevs, 10}, name="Y");
   
@@ -27,6 +27,13 @@ int main(int argc, char** argv) {
   
   Tensor tx({500, 784}, 1);
   Tensor ty({500, 10}, 1);
+
+  int numImg, imgSize;
+  vector<float> images = datasets::mnist::ReadImages("../examples/mnist/t10k-images-idx3-ubyte", numImg, imgSize);
+  vector<int> labels = datasets::mnist::ReadLabels("../examples/mnist/t10k-labels-idx1-ubyte");
+  tx.Load(images);
+  //ty.Load(labels);
+
   cerr << "tx=" << tx.Debug() << endl;
   cerr << "ty=" << ty.Debug() << endl;
 
@@ -54,8 +61,10 @@ int main(int argc, char** argv) {
   graph.backward();
   
   //std::cerr << graph["pred"].val()[0] << std::endl;
-  */
   
+
+   // XOR
+  /*
   Expr x = input(shape={whatevs, 2}, name="X");
   Expr y = input(shape={whatevs, 2}, name="Y");
 
@@ -76,6 +85,7 @@ int main(int argc, char** argv) {
 
   tx.Load("../examples/xor/train.txt");
   ty.Load("../examples/xor/label.txt");
+  */
 
 #if 0  
   hook0(graph);