Renaming size() to numel() - 1/6

Summary: Codemod generated with clangr shard mode, 50 files per diff

Reviewed By: li-roy

Differential Revision: D10866373

fbshipit-source-id: 589194164d4fea93b74d83fa7fc4c59558c41f4a

3 files changed, 33 insertions, 33 deletions

diff --git a/caffe2/mpi/mpi_gpu_test.cc b/caffe2/mpi/mpi_gpu_test.cc
index 0418186a43..0ce52cb675 100644
--- a/caffe2/mpi/mpi_gpu_test.cc
+++ b/caffe2/mpi/mpi_gpu_test.cc
@@ -66,8 +66,8 @@ TEST(MPITest, TestMPIBroadcast) {
     // Let's test the value.
     auto& X = ws.GetBlob("X")->Get<Tensor>();
     Tensor X_cpu(X, CPU);
-    EXPECT_EQ(X.size(), 10);
-    for (int i = 0; i < X.size(); ++i) {
+    EXPECT_EQ(X.numel(), 10);
+    for (int i = 0; i < X.numel(); ++i) {
       EXPECT_EQ(X_cpu.data<float>()[i], root);
     }
   }
@@ -132,10 +132,10 @@ TEST(MPITest, TestMPIReduce) {
     if (rank == root) {
       // Let's test the value.
       auto& X = ws.GetBlob("X_reduced")->Get<TensorCUDA>();
-      EXPECT_EQ(X.size(), 10);
+      EXPECT_EQ(X.numel(), 10);
       int expected_result = size * (size - 1) / 2;
       Tensor X_cpu(X, CPU);
-      for (int i = 0; i < X.size(); ++i) {
+      for (int i = 0; i < X.numel(); ++i) {
         EXPECT_EQ(X_cpu.data<float>()[i], expected_result);
       }
     }
@@ -192,16 +192,16 @@ TEST(MPITest, TestMPIAllgather) {
   // Let's test the value.
   auto& X = ws.GetBlob("X")->Get<TensorCUDA>();
   Tensor X_cpu(X, CPU);
-  EXPECT_EQ(X.size(), 20);
-  for (int i = 0; i < X.size(); ++i) {
+  EXPECT_EQ(X.numel(), 20);
+  for (int i = 0; i < X.numel(); ++i) {
     EXPECT_EQ(X_cpu.data<float>()[i], rank);
   }
   auto& X_gathered = ws.GetBlob("X_gathered")->Get<TensorCUDA>();
-  EXPECT_EQ(X_gathered.size(), 20 * size);
+  EXPECT_EQ(X_gathered.numel(), 20 * size);
   EXPECT_EQ(X_gathered.dim(0), 2 * size);
   EXPECT_EQ(X_gathered.dim(1), 10);
   Tensor X_gathered_cpu(X_gathered, CPU);
-  for (int i = 0; i < X_gathered.size(); ++i) {
+  for (int i = 0; i < X_gathered.numel(); ++i) {
     EXPECT_EQ(X_gathered_cpu.data<float>()[i], i / 20);
   }
 }
@@ -254,16 +254,16 @@ TEST(MPITest, TestMPIAllreduce) {
   EXPECT_TRUE(net->Run());
   // Let's test the value.
   auto& X = ws.GetBlob("X")->Get<TensorCUDA>();
-  EXPECT_EQ(X.size(), 10);
+  EXPECT_EQ(X.numel(), 10);
   Tensor X_cpu(X, CPU);
-  for (int i = 0; i < X.size(); ++i) {
+  for (int i = 0; i < X.numel(); ++i) {
     EXPECT_EQ(X_cpu.data<float>()[i], rank);
   }
   auto& X_reduced = ws.GetBlob("X_reduced")->Get<TensorCUDA>();
-  EXPECT_EQ(X_reduced.size(), 10);
+  EXPECT_EQ(X_reduced.numel(), 10);
   int expected_result = size * (size - 1) / 2;
   Tensor X_reduced_cpu(X_reduced, CPU);
-  for (int i = 0; i < X_reduced.size(); ++i) {
+  for (int i = 0; i < X_reduced.numel(); ++i) {
     EXPECT_EQ(X_reduced_cpu.data<float>()[i], expected_result);
   }
 }
@@ -315,10 +315,10 @@ TEST(MPITest, TestInPlaceMPIAllreduce) {
   EXPECT_NE(nullptr, net.get());
   EXPECT_TRUE(net->Run());
   auto& X_reduced = ws.GetBlob("X")->Get<TensorCUDA>();
-  EXPECT_EQ(X_reduced.size(), 10);
+  EXPECT_EQ(X_reduced.numel(), 10);
   int expected_result = size * (size - 1) / 2;
   Tensor X_reduced_cpu(X_reduced, CPU);
-  for (int i = 0; i < X_reduced.size(); ++i) {
+  for (int i = 0; i < X_reduced.numel(); ++i) {
     EXPECT_EQ(X_reduced_cpu.data<float>()[i], expected_result);
   }
 }
diff --git a/caffe2/mpi/mpi_ops.h b/caffe2/mpi/mpi_ops.h
index 6f759900f3..0580a7764c 100644
--- a/caffe2/mpi/mpi_ops.h
+++ b/caffe2/mpi/mpi_ops.h
@@ -41,7 +41,7 @@ class MPIBroadcastOp final : public Operator<Context> {
     auto* output = Output(0);
     // Make sure that output is already allocated.
     CAFFE_ENFORCE(
-        output->size() > 0,
+        output->numel() > 0,
         "Broadcast op uses in-place operation so the output "
         "should be already allocated.");
     MPI_CHECK(MPI_Bcast(
@@ -75,7 +75,7 @@ class MPIReduceOp final : public Operator<Context> {
     MPI_CHECK(MPI_Reduce(
         const_cast<T*>(input.template data<T>()),
         output->template mutable_data<T>(),
-        input.size(),
+        input.numel(),
         MPIDataTypeWrapper<T>::type(),
         MPI_SUM,
         root_,
@@ -103,10 +103,10 @@ class MPIAllgatherOp final : public Operator<Context> {
     output->Resize(output_dims);
     MPI_CHECK(MPI_Allgather(
         const_cast<T*>(input.template data<T>()),
-        input.size(),
+        input.numel(),
         MPIDataTypeWrapper<T>::type(),
         output->template mutable_data<T>(),
-        input.size(),
+        input.numel(),
         MPIDataTypeWrapper<T>::type(),
         comm));
     return true;
@@ -136,7 +136,7 @@ class MPIAllreduceOp final : public Operator<Context> {
     MPI_CHECK(MPI_Allreduce(
         source,
         output->template mutable_data<T>(),
-        input.size(),
+        input.numel(),
         MPIDataTypeWrapper<T>::type(),
         MPI_SUM,
         comm));
diff --git a/caffe2/mpi/mpi_test.cc b/caffe2/mpi/mpi_test.cc
index d5e081a57f..4e70e23aea 100644
--- a/caffe2/mpi/mpi_test.cc
+++ b/caffe2/mpi/mpi_test.cc
@@ -62,8 +62,8 @@ TEST(MPITest, TestMPIBroadcast) {
     EXPECT_TRUE(net->Run());
     // Let's test the value.
     auto& X = ws.GetBlob("X")->Get<TensorCPU>();
-    EXPECT_EQ(X.size(), 10);
-    for (int i = 0; i < X.size(); ++i) {
+    EXPECT_EQ(X.numel(), 10);
+    for (int i = 0; i < X.numel(); ++i) {
       EXPECT_EQ(X.data<float>()[i], root);
     }
   }
@@ -125,9 +125,9 @@ TEST(MPITest, TestMPIReduce) {
     if (rank == root) {
       // Let's test the value.
       auto& X = ws.GetBlob("X_reduced")->Get<TensorCPU>();
-      EXPECT_EQ(X.size(), 10);
+      EXPECT_EQ(X.numel(), 10);
       int expected_result = size * (size - 1) / 2;
-      for (int i = 0; i < X.size(); ++i) {
+      for (int i = 0; i < X.numel(); ++i) {
         EXPECT_EQ(X.data<float>()[i], expected_result);
       }
     }
@@ -180,15 +180,15 @@ TEST(MPITest, TestMPIAllgather) {
   EXPECT_TRUE(net->Run());
   // Let's test the value.
   auto& X = ws.GetBlob("X")->Get<TensorCPU>();
-  EXPECT_EQ(X.size(), 20);
-  for (int i = 0; i < X.size(); ++i) {
+  EXPECT_EQ(X.numel(), 20);
+  for (int i = 0; i < X.numel(); ++i) {
     EXPECT_EQ(X.data<float>()[i], rank);
   }
   auto& X_gathered = ws.GetBlob("X_gathered")->Get<TensorCPU>();
-  EXPECT_EQ(X_gathered.size(), 20 * size);
+  EXPECT_EQ(X_gathered.numel(), 20 * size);
   EXPECT_EQ(X_gathered.dim(0), 2 * size);
   EXPECT_EQ(X_gathered.dim(1), 10);
-  for (int i = 0; i < X_gathered.size(); ++i) {
+  for (int i = 0; i < X_gathered.numel(); ++i) {
     EXPECT_EQ(X_gathered.data<float>()[i], i / 20);
   }
 }
@@ -238,14 +238,14 @@ TEST(MPITest, TestMPIAllreduce) {
   EXPECT_TRUE(net->Run());
   // Let's test the value.
   auto& X = ws.GetBlob("X")->Get<TensorCPU>();
-  EXPECT_EQ(X.size(), 10);
-  for (int i = 0; i < X.size(); ++i) {
+  EXPECT_EQ(X.numel(), 10);
+  for (int i = 0; i < X.numel(); ++i) {
     EXPECT_EQ(X.data<float>()[i], rank);
   }
   auto& X_reduced = ws.GetBlob("X_reduced")->Get<TensorCPU>();
-  EXPECT_EQ(X_reduced.size(), 10);
+  EXPECT_EQ(X_reduced.numel(), 10);
   int expected_result = size * (size - 1) / 2;
-  for (int i = 0; i < X_reduced.size(); ++i) {
+  for (int i = 0; i < X_reduced.numel(); ++i) {
     EXPECT_EQ(X_reduced.data<float>()[i], expected_result);
   }
 }
@@ -294,9 +294,9 @@ TEST(MPITest, TestInPlaceMPIAllreduce) {
   EXPECT_NE(nullptr, net.get());
   EXPECT_TRUE(net->Run());
   auto& X_reduced = ws.GetBlob("X")->Get<TensorCPU>();
-  EXPECT_EQ(X_reduced.size(), 10);
+  EXPECT_EQ(X_reduced.numel(), 10);
   int expected_result = size * (size - 1) / 2;
-  for (int i = 0; i < X_reduced.size(); ++i) {
+  for (int i = 0; i < X_reduced.numel(); ++i) {
     EXPECT_EQ(X_reduced.data<float>()[i], expected_result);
   }
 }