Updated examples/ to use tstring.
This is a part of a larger migration effort for tensorflow::tstring. See: https://github.com/tensorflow/community/pull/91 PiperOrigin-RevId: 263055479
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@ -60,10 +60,11 @@ limitations under the License.
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// These are all common classes it's handy to reference with no namespace.
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// These are all common classes it's handy to reference with no namespace.
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using tensorflow::Flag;
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using tensorflow::Flag;
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using tensorflow::Tensor;
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using tensorflow::int32;
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using tensorflow::Status;
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using tensorflow::Status;
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using tensorflow::string;
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using tensorflow::string;
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using tensorflow::int32;
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using tensorflow::Tensor;
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using tensorflow::tstring;
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// Takes a file name, and loads a list of labels from it, one per line, and
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// Takes a file name, and loads a list of labels from it, one per line, and
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// returns a vector of the strings. It pads with empty strings so the length
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// returns a vector of the strings. It pads with empty strings so the length
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@ -106,7 +107,7 @@ static Status ReadEntireFile(tensorflow::Env* env, const string& filename,
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"' expected ", file_size, " got ",
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"' expected ", file_size, " got ",
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data.size());
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data.size());
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}
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}
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output->scalar<string>()() = string(data);
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output->scalar<tstring>()() = tstring(data);
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return Status::OK();
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return Status::OK();
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}
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}
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@ -26,10 +26,11 @@ limitations under the License.
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// These are all common classes it's handy to reference with no namespace.
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// These are all common classes it's handy to reference with no namespace.
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using tensorflow::Flag;
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using tensorflow::Flag;
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using tensorflow::Status;
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using tensorflow::Tensor;
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using tensorflow::int32;
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using tensorflow::int32;
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using tensorflow::Status;
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using tensorflow::string;
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using tensorflow::string;
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using tensorflow::Tensor;
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using tensorflow::tstring;
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namespace {
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namespace {
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@ -149,7 +150,7 @@ int main(int argc, char* argv[]) {
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return -1;
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return -1;
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}
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}
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Tensor wav_tensor(tensorflow::DT_STRING, tensorflow::TensorShape({}));
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Tensor wav_tensor(tensorflow::DT_STRING, tensorflow::TensorShape({}));
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wav_tensor.scalar<string>()() = wav_string;
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wav_tensor.scalar<tstring>()() = wav_string;
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// Actually run the audio through the model.
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// Actually run the audio through the model.
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std::vector<Tensor> outputs;
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std::vector<Tensor> outputs;
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