From 044ff96ba3936529e4b79c10c2f6e54fa8657202 Mon Sep 17 00:00:00 2001
From: "A. Unique TensorFlower" <gardener@tensorflow.org>
Date: Sat, 23 Mar 2019 20:44:43 -0700
Subject: [PATCH] Qualify calls to some functions from <cmath>.

PiperOrigin-RevId: 239989259
---
 .../lite/toco/graph_transformations/propagate_fixed_sizes.cc | 5 +++--
 .../toco/graph_transformations/resolve_constant_binary.cc    | 5 +++--
 .../toco/graph_transformations/resolve_constant_range.cc     | 5 +++--
 3 files changed, 9 insertions(+), 6 deletions(-)

diff --git a/tensorflow/lite/toco/graph_transformations/propagate_fixed_sizes.cc b/tensorflow/lite/toco/graph_transformations/propagate_fixed_sizes.cc
index 870e05094ce..aac38eb5755 100644
--- a/tensorflow/lite/toco/graph_transformations/propagate_fixed_sizes.cc
+++ b/tensorflow/lite/toco/graph_transformations/propagate_fixed_sizes.cc
@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 #include <algorithm>
+#include <cmath>
 #include <iterator>
 #include <memory>
 #include <numeric>
@@ -1683,8 +1684,8 @@ void ProcessStridedSliceOperator(Model* model, StridedSliceOperator* op) {
         strided_slice_params, ToRuntimeShape(input_array.shape()), axis,
         start_index);
 
-    int dim_size =
-        ceil(static_cast<float>(stop_index - start_index) / op->strides[axis]);
+    int dim_size = std::ceil(static_cast<float>(stop_index - start_index) /
+                             op->strides[axis]);
 
     CHECK_GT(dim_size, 0)
         << "Output size for an axis must be greater than 0. Axis " << axis
diff --git a/tensorflow/lite/toco/graph_transformations/resolve_constant_binary.cc b/tensorflow/lite/toco/graph_transformations/resolve_constant_binary.cc
index 0e1671c61c6..599e547f21f 100644
--- a/tensorflow/lite/toco/graph_transformations/resolve_constant_binary.cc
+++ b/tensorflow/lite/toco/graph_transformations/resolve_constant_binary.cc
@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 #include <algorithm>
+#include <cmath>
 #include <memory>
 #include <string>
 #include <unordered_map>
@@ -142,9 +143,9 @@ void EvaluateBinaryOperatorOnConstantInputs(Model* model,
     } else if (binary_op->type == OperatorType::kDiv) {
       outval = val0 / val1;
     } else if (binary_op->type == OperatorType::kFloorDiv) {
-      outval = floor(val0 / val1);
+      outval = std::floor(val0 / val1);
     } else if (binary_op->type == OperatorType::kFloorMod) {
-      outval = val0 - (floor(val0 / val1) * val1);
+      outval = val0 - (std::floor(val0 / val1) * val1);
     } else if (binary_op->type == OperatorType::kMinimum) {
       outval = std::min(val0, val1);
     } else if (binary_op->type == OperatorType::kMaximum) {
diff --git a/tensorflow/lite/toco/graph_transformations/resolve_constant_range.cc b/tensorflow/lite/toco/graph_transformations/resolve_constant_range.cc
index 4cb27d97ec1..2310ab48d6e 100644
--- a/tensorflow/lite/toco/graph_transformations/resolve_constant_range.cc
+++ b/tensorflow/lite/toco/graph_transformations/resolve_constant_range.cc
@@ -12,10 +12,11 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
+#include <cmath>
+#include "tensorflow/core/platform/logging.h"
 #include "tensorflow/lite/toco/graph_transformations/graph_transformations.h"
 #include "tensorflow/lite/toco/model.h"
 #include "tensorflow/lite/toco/tooling_util.h"
-#include "tensorflow/core/platform/logging.h"
 
 namespace toco {
 
@@ -35,7 +36,7 @@ void FillRangeOutput(const Array& start_array, const Array& limit_array,
   for (int i = 0; i < size; ++i) {
     buffer.data.push_back(start + i * delta);
   }
-  CHECK_EQ(floor((limit - start) / delta), buffer.data.size());
+  CHECK_EQ(std::floor((limit - start) / delta), buffer.data.size());
   CHECK_EQ(buffer.data.size(), output_array->shape().dims()[0]);
 }