Open-sources UniversalSentenceEncoderPreprocessorCalculator.
PiperOrigin-RevId: 482222697
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@ -289,6 +289,23 @@ cc_test(
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],
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)
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cc_library(
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name = "universal_sentence_encoder_preprocessor_calculator",
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srcs = ["universal_sentence_encoder_preprocessor_calculator.cc"],
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deps = [
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"//mediapipe/framework:calculator_context",
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"//mediapipe/framework:calculator_framework",
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"//mediapipe/framework/api2:node",
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"//mediapipe/framework/api2:port",
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"//mediapipe/framework/formats:tensor",
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"//mediapipe/tasks/cc/core:utils",
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"//mediapipe/tasks/cc/metadata:metadata_extractor",
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"@com_google_absl//absl/container:flat_hash_set",
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"@com_google_absl//absl/status",
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"@com_google_absl//absl/strings",
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],
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)
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mediapipe_proto_library(
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name = "inference_calculator_proto",
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srcs = ["inference_calculator.proto"],
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@ -88,9 +88,7 @@ RunUniversalSentenceEncoderPreprocessorCalculator(absl::string_view text) {
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kNumInputTensorsForUniversalSentenceEncoder));
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}
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if (tensor_vec[0].element_type() != Tensor::ElementType::kChar) {
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return absl::InvalidArgumentError(absl::Substitute(
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"tensor has element type $0, expected $1", tensor_vec[0].element_type(),
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Tensor::ElementType::kChar));
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return absl::InvalidArgumentError("Expected tensor element type kChar");
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}
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std::vector<std::string> results;
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for (int i = 0; i < kNumInputTensorsForUniversalSentenceEncoder; ++i) {
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