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@ -30,8 +30,6 @@
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namespace mindspore {
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namespace tensor {
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using Bool = unsigned char;
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static std::string MakeId() {
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// Use atomic to make id generator thread safe.
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static std::atomic<uint64_t> last_id{1};
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@ -50,10 +48,7 @@ template <typename T>
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std::vector<T> CopyData(const std::vector<int> &shape, void *data, TypeId data_type) {
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const size_t count = SizeOf(shape);
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switch (data_type) {
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case kNumberTypeBool: {
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auto buf = static_cast<Bool *>(data);
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return std::vector<T>(buf, buf + count);
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}
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case kNumberTypeBool:
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case kNumberTypeUInt8: {
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auto buf = static_cast<uint8_t *>(data);
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return std::vector<T>(buf, buf + count);
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@ -104,14 +99,6 @@ std::vector<T> CopyData(const std::vector<int> &shape, void *data, TypeId data_t
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MS_LOG(EXCEPTION) << "Cannot construct Tensor because of unsupported data type: " << data_type << ".";
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}
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// Convert to bool is not allowed.
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template <>
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std::vector<Bool> CopyData<Bool>(const std::vector<int> &shape, void *data, TypeId data_type) {
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MS_LOG(EXCEPTION) << "Cannot convert from " << TypeIdLabel(data_type) << " to " << TypeIdLabel(kNumberTypeBool)
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<< ".";
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return {};
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}
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template <typename T>
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std::vector<T> CopyData(const std::vector<int> &shape, void *data, size_t data_len) {
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size_t size = SizeOf(shape);
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@ -192,10 +179,6 @@ template <typename... Args>
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TensorDataPtr MakeTensorData(TypeId data_type, const std::vector<int> &shape, Args... args) {
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switch (data_type) {
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case kNumberTypeBool:
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// std::vector<bool> is a specialization of std::vector,
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// it may use single bit instead of sizeof(bool) bytes,
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// so we use std::vector<Bool> for bool tensors.
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return std::make_shared<TensorDataImpl<Bool>>(shape, args...);
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case kNumberTypeUInt8:
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return std::make_shared<TensorDataImpl<uint8_t>>(shape, args...);
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case kNumberTypeInt8:
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