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Results 1 - 5 of 5 for DT_COMPLEX64 (0.13 sec)

  1. tensorflow/compiler/mlir/tensorflow/utils/convert_type.cc

        case DT_UINT64:
          *type = builder.getIntegerType(64, /*isSigned=*/false);
          return absl::OkStatus();
        case DT_BFLOAT16:
          *type = builder.getBF16Type();
          return absl::OkStatus();
        case DT_COMPLEX64:
          *type = mlir::ComplexType::get(builder.getF32Type());
          return absl::OkStatus();
        case DT_COMPLEX128:
          *type = mlir::ComplexType::get(builder.getF64Type());
          return absl::OkStatus();
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Apr 26 09:37:10 UTC 2024
    - 7.5K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/utils/convert_type.cc

    tensorflow::DataType TflTypeToTfType(tflite::TensorType type) {
      switch (type) {
        case tflite::TensorType_BOOL:
          return tensorflow::DT_BOOL;
        case tflite::TensorType_COMPLEX64:
          return tensorflow::DT_COMPLEX64;
        case tflite::TensorType_COMPLEX128:
          return tensorflow::DT_COMPLEX128;
        case tflite::TensorType_FLOAT16:
          return tensorflow::DT_HALF;
        case tflite::TensorType_BFLOAT16:
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 07 23:04:40 UTC 2024
    - 8.2K bytes
    - Viewed (0)
  3. tensorflow/compiler/jit/xla_cpu_device.cc

    // Kernel registrations
    
    constexpr std::array<DataType, 18> kAllXlaCpuTypes = {
        {DT_UINT8, DT_QUINT8, DT_UINT16, DT_INT8, DT_QINT8, DT_INT16, DT_INT32,
         DT_QINT32, DT_INT64, DT_HALF, DT_FLOAT, DT_DOUBLE, DT_COMPLEX64,
         DT_COMPLEX128, DT_BOOL, DT_BFLOAT16, DT_INT4, DT_UINT4}};
    
    REGISTER_XLA_LAUNCH_KERNEL(DEVICE_XLA_CPU, XlaLocalLaunchOp, kAllXlaCpuTypes);
    REGISTER_XLA_COMPILE_KERNEL(DEVICE_XLA_CPU, XlaCompileOp, kAllXlaCpuTypes);
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 22 08:47:20 UTC 2024
    - 5.5K bytes
    - Viewed (0)
  4. tensorflow/compiler/jit/xla_gpu_device.cc

        {DT_UINT8,    DT_QUINT8,      DT_UINT16,        DT_INT8,       DT_QINT8,
         DT_INT16,    DT_INT32,       DT_QINT32,        DT_INT64,      DT_HALF,
         DT_FLOAT,    DT_DOUBLE,      DT_COMPLEX64,     DT_COMPLEX128, DT_BOOL,
         DT_BFLOAT16, DT_FLOAT8_E5M2, DT_FLOAT8_E4M3FN, DT_INT4,       DT_UINT4}};
    
    REGISTER_XLA_LAUNCH_KERNEL(DEVICE_XLA_GPU, XlaLocalLaunchOp, kAllXlaGpuTypes);
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 22 08:47:20 UTC 2024
    - 6.6K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/utils/constant_utils.cc

                     mlir::dyn_cast<mlir::ComplexType>(element_type)) {
        auto etype = complex_type.getElementType();
        if (etype.isF32()) {
          tensorflow::TensorProto repr;
          repr.set_dtype(tensorflow::DT_COMPLEX64);
    
          tensorflow::TensorShapeProto* shape = repr.mutable_tensor_shape();
          shape->set_unknown_rank(false);
          shape->add_dim()->set_size(int64_t{1});
          std::string content;
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 6.5K bytes
    - Viewed (0)
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