diff --git a/src/clm_opencl.c b/src/clm_opencl.c
index e5310b4..e028b25 100644
--- a/src/clm_opencl.c
+++ b/src/clm_opencl.c
@@ -157,6 +157,7 @@ static cl_mem writeNativeMatrixArray(clm_NativeMatrixArray array) {
 	clm_Matrix mat = array.matrixes[0];
 	cl_mem mem = array.native->mem;
 
+	// TODO: don't do blocking writes, instead wait once at the end
 	size_t matLength = sizeof(float) * mat.rows * mat.cols;
 	for(unsigned int i = 0; i < array.length; i++) {
 		cl_int err = clEnqueueWriteBuffer(queue, mem, CL_TRUE, i * matLength, matLength, array.matrixes[i].values, 0, NULL, NULL);
@@ -192,7 +193,15 @@ static void readNativeMatrix(clm_NativeMatrix matrix) {
 
 static void readNativeMatrixArray(clm_NativeMatrixArray array) {
 	clm_Matrix mat = array.matrixes[0];
+	size_t matLength = sizeof(float) * mat.rows * mat.cols;
+
+	// TODO: don't do blocking reads, instead wait once at the end
 	for(unsigned int i = 0; i < array.length; i++) {
+		cl_int err = clEnqueueReadBuffer(queue, array.native->mem, CL_TRUE, i * matLength, matLength, array.matrixes[i].values, 0, NULL, NULL);
+		if(err != CL_SUCCESS) {
+			printf("Failed to enqueue read: %s\n", clm_clErrorToString(err));
+			return;
+		}
 	}
 }
 
@@ -366,8 +375,12 @@ void clm_linearBackprop(clm_Linear *linear, float learnRate, unsigned int batchS
 	clFlush(queue);
 	clFinish(queue);
 
+	clm_matrixPrint(linear->weightsError.matrixes[0]);
+
 	readNativeMatrixArray(linear->weightsError);
 	readNativeMatrixArray(linear->gradient);
 
+	clm_matrixPrint(linear->weightsError.matrixes[0]);
+
 	if(updateErrors) readGPUMats(matOutputErrors, batchSize, outputErrors, linear->nativeOutputErrors);
 }