Cleanup: Remove unused declarations and unnecessary conversions
PiperOrigin-RevId: 178617606
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@ -102,7 +102,7 @@ class ZipEnvironment : public ::testing::Environment {
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tensorflow::SubProcess proc;
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string unzip_binary =
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"/usr/bin/unzip";
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proc.SetProgram(unzip_binary, {"unzip", "-d", dir, zip.c_str()});
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proc.SetProgram(unzip_binary, {"unzip", "-d", dir, zip});
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proc.SetChannelAction(tensorflow::CHAN_STDOUT, tensorflow::ACTION_PIPE);
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proc.SetChannelAction(tensorflow::CHAN_STDERR, tensorflow::ACTION_PIPE);
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if (!proc.Start())
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@ -30,7 +30,6 @@ limitations under the License.
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#include "tensorflow/contrib/lite/toco/toco_port.h"
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#include "tensorflow/core/platform/logging.h"
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namespace toco {
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string LogName(const Operator& op) {
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@ -996,8 +995,7 @@ void ResolveModelFlags(const ModelFlags& model_flags, Model* model) {
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<< dst_input_array->shape().dims(i);
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}
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} else {
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dst_input_array->mutable_shape()->CopyFrom(
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specified_input_array.shape());
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*dst_input_array->mutable_shape() = specified_input_array.shape();
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}
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}
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@ -447,7 +447,7 @@ NodeDef* ArithmeticOptimizer::AddNode(const string& name,
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AddPrefixToNodeName(name, kArithmeticOptimizer);
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node_map_->AddNode(NodeName(name_with_prefix), new_node);
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if (node_to_copy != nullptr) {
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new_node->CopyFrom(*node_to_copy);
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*new_node = *node_to_copy;
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}
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new_node->set_name(name_with_prefix);
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return new_node;
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@ -25,10 +25,8 @@ limitations under the License.
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namespace tensorflow {
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using thread::ThreadPool;
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typedef Eigen::ThreadPoolDevice CPUDevice;
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typedef Eigen::GpuDevice GPUDevice;
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using CPUDevice = Eigen::ThreadPoolDevice;
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using GPUDevice = Eigen::GpuDevice;
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namespace functor {
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@ -49,6 +47,7 @@ struct BucketizeFunctor<CPUDevice, T> {
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return Status::OK();
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}
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};
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} // namespace functor
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template <typename Device, typename T>
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