Remove unused variables.
PiperOrigin-RevId: 251882502
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1a3b22f289
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@ -195,9 +195,6 @@ TEST_F(DropoutUtilsTest, DropoutSeedTest) {
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std::vector<int32> dropped_trees_2;
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std::vector<float> original_weights_2;
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DecisionTreeEnsembleConfig new_ensemble_1;
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DecisionTreeEnsembleConfig new_ensemble_2;
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TF_EXPECT_OK(DropoutUtils::DropOutTrees(
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kSeed + 1, config, trees_not_to_drop, weights_, &dropped_trees_1,
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&original_weights_1));
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@ -219,8 +216,6 @@ TEST_F(DropoutUtilsTest, DropoutSeedTest) {
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std::vector<int32> dropped_trees_2;
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std::vector<float> original_weights_2;
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DecisionTreeEnsembleConfig new_ensemble_1;
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DecisionTreeEnsembleConfig new_ensemble_2;
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TF_EXPECT_OK(DropoutUtils::DropOutTrees(kSeed, config, trees_not_to_drop,
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weights_, &dropped_trees_1,
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@ -264,7 +259,6 @@ TEST_F(DropoutUtilsTest, InvalidConfigTest) {
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config.set_dropout_probability(0.5);
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config.set_probability_of_skipping_dropout(-10);
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DecisionTreeEnsembleConfig new_ensemble;
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EXPECT_FALSE(DropoutUtils::DropOutTrees(kSeed, config, trees_not_to_drop,
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weights_, &dropped_trees,
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&original_weights)
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@ -276,7 +270,6 @@ TEST_F(DropoutUtilsTest, InvalidConfigTest) {
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config.set_dropout_probability(0.5);
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config.set_probability_of_skipping_dropout(1.2);
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DecisionTreeEnsembleConfig new_ensemble;
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EXPECT_FALSE(DropoutUtils::DropOutTrees(kSeed, config, trees_not_to_drop,
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weights_, &dropped_trees,
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&original_weights)
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@ -715,7 +715,6 @@ void LaunchFusedConv2DBiasActivationOp<GPUDevice, T, BiasType, ScaleType>::
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&extra_left_padding, &extra_right_padding);
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if (extra_top_padding != 0 || extra_bottom_padding != 0 ||
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extra_left_padding != 0 || extra_right_padding != 0) {
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Tensor transformed_input;
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const int new_conv_input_rows =
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conv_input_rows + extra_top_padding + extra_bottom_padding;
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const int new_conv_input_cols =
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@ -1622,8 +1622,6 @@ void RdmaTensorRequest::RecvTensorContent() {
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<< ": Received tensor content #" << index_ << ": " << key_
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<< " (Size: 0x" << std::hex << message_size << ")";
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Tensor val;
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#if GOOGLE_CUDA
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if (proxy_tensor_ != nullptr) {
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CountCopies(key_, (void*)DMAHelper::base(proxy_tensor_),
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