diff --git a/src/caffe/test/test_convolution_layer.cpp b/src/caffe/test/test_convolution_layer.cpp
index 9bb19d13592..85c10a29483 100644
--- a/src/caffe/test/test_convolution_layer.cpp
+++ b/src/caffe/test/test_convolution_layer.cpp
@@ -695,7 +695,7 @@ TYPED_TEST(ConvolutionLayerTest, TestNDAgainst2D) {
   }
   ASSERT_EQ(backward_result_nd.count(), backward_result_2d.count());
   for (int i = 0; i < backward_result_2d.count(); ++i) {
-    EXPECT_EQ(backward_result_2d.cpu_diff()[i],
+    EXPECT_FLOAT_EQ(backward_result_2d.cpu_diff()[i],
               backward_result_nd.cpu_diff()[i]);
   }
   ASSERT_EQ(backward_weight_result_nd.count(),
diff --git a/src/caffe/test/test_gradient_based_solver.cpp b/src/caffe/test/test_gradient_based_solver.cpp
index 975a8f0f88a..9395f4e95c6 100644
--- a/src/caffe/test/test_gradient_based_solver.cpp
+++ b/src/caffe/test/test_gradient_based_solver.cpp
@@ -538,9 +538,9 @@ class GradientBasedSolverTest : public MultiDeviceTest<TypeParam> {
     const vector<Blob<Dtype>*>& params = solver_->net()->learnable_params();
     for (int i = 0; i < params.size(); ++i) {
       for (int j = 0; j < params[i]->count(); ++j) {
-        EXPECT_EQ(param_copies[i]->cpu_data()[j], params[i]->cpu_data()[j])
+        EXPECT_FLOAT_EQ(param_copies[i]->cpu_data()[j], params[i]->cpu_data()[j])
             << "param " << i << " data differed at dim " << j;
-        EXPECT_EQ(param_copies[i]->cpu_diff()[j], params[i]->cpu_diff()[j])
+        EXPECT_FLOAT_EQ(param_copies[i]->cpu_diff()[j], params[i]->cpu_diff()[j])
             << "param " << i << " diff differed at dim " << j;
       }
     }
@@ -549,9 +549,9 @@ class GradientBasedSolverTest : public MultiDeviceTest<TypeParam> {
     const vector<shared_ptr<Blob<Dtype> > >& history = solver_->history();
     for (int i = 0; i < history.size(); ++i) {
       for (int j = 0; j < history[i]->count(); ++j) {
-        EXPECT_EQ(history_copies[i]->cpu_data()[j], history[i]->cpu_data()[j])
+        EXPECT_FLOAT_EQ(history_copies[i]->cpu_data()[j], history[i]->cpu_data()[j])
             << "history blob " << i << " data differed at dim " << j;
-        EXPECT_EQ(history_copies[i]->cpu_diff()[j], history[i]->cpu_diff()[j])
+        EXPECT_FLOAT_EQ(history_copies[i]->cpu_diff()[j], history[i]->cpu_diff()[j])
             << "history blob " << i << " diff differed at dim " << j;
       }
     }
diff --git a/src/caffe/test/test_neuron_layer.cpp b/src/caffe/test/test_neuron_layer.cpp
index 342f825cec3..57bd47b3a2e 100644
--- a/src/caffe/test/test_neuron_layer.cpp
+++ b/src/caffe/test/test_neuron_layer.cpp
@@ -791,16 +791,16 @@ TYPED_TEST(NeuronLayerTest, TestPReLUInPlace) {
   ip2.Backward(blob_middle_vec_2, propagate_down, blob_bottom_vec_2);
   // Check numbers
   for (int s = 0; s < blob_bottom_2->count(); ++s) {
-    EXPECT_EQ(this->blob_bottom_->cpu_diff()[s], blob_bottom_2->cpu_diff()[s]);
+    EXPECT_FLOAT_EQ(this->blob_bottom_->cpu_diff()[s], blob_bottom_2->cpu_diff()[s]);
   }
   for (int s = 0; s < ip.blobs()[0]->count(); ++s) {
-    EXPECT_EQ(ip.blobs()[0]->cpu_diff()[s], ip2.blobs()[0]->cpu_diff()[s]);
+    EXPECT_FLOAT_EQ(ip.blobs()[0]->cpu_diff()[s], ip2.blobs()[0]->cpu_diff()[s]);
   }
   for (int s = 0; s < ip.blobs()[1]->count(); ++s) {
-    EXPECT_EQ(ip.blobs()[1]->cpu_diff()[s], ip2.blobs()[1]->cpu_diff()[s]);
+    EXPECT_FLOAT_EQ(ip.blobs()[1]->cpu_diff()[s], ip2.blobs()[1]->cpu_diff()[s]);
   }
   for (int s = 0; s < prelu.blobs()[0]->count(); ++s) {
-    EXPECT_EQ(prelu.blobs()[0]->cpu_diff()[s],
+    EXPECT_FLOAT_EQ(prelu.blobs()[0]->cpu_diff()[s],
         prelu2.blobs()[0]->cpu_diff()[s]);
   }
 }