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Results 1 - 10 of 36 for nchar (0.07 sec)

  1. tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf_test.cc

    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 13 23:59:33 UTC 2024
    - 16.1K bytes
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  2. tensorflow/compiler/mlir/lite/python/converter_python_api.cc

              return absl::OkStatus();
            });
    
        // Register the corresponding fake op kernel.
        const char* node_name = opdef.name().c_str();
        const char* op_name = opdef.name().c_str();
        const char* device_name = "CPU";
        static auto fake_compute_func = [](void* kernel, TF_OpKernelContext* ctx) {
        };
    
        TF_KernelBuilder* builder =
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 23:15:24 UTC 2024
    - 19.2K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/utils/string_utils.h

      absl::Status AddString(const char* str, size_t len);
    
      // Fill content into a buffer and returns the number of bytes stored.
      // The function allocates space for the buffer but does NOT take ownership.
      int WriteToBuffer(char** buffer);
    
     private:
      // Data buffer to store contents of strings, not including headers.
      std::vector<char> data_;
      // Offset of the starting index of each string in data buffer.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 21:41:49 UTC 2024
    - 2.2K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/utils/string_utils.cc

    #include <cstddef>
    #include <cstdint>
    #include <cstdlib>
    #include <cstring>
    #include <vector>
    
    #include "absl/status/status.h"
    
    namespace mlir::TFL {
    
    absl::Status MiniDynamicBuffer::AddString(const char* str, size_t len) {
      // If `data_.size() + len` is greater than `SIZE_MAX` then the left hand side
      // will overflow to something less than max_length_. After checking `len <=
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 21:41:49 UTC 2024
    - 2.9K bytes
    - Viewed (0)
  5. analysis/analysis-api/src/org/jetbrains/kotlin/analysis/api/components/KtTypeProvider.kt

        public val BOOLEAN: KaType
            get() = boolean
    
        public abstract val char: KaType
    
        @Deprecated("Use 'char' instead.", replaceWith = ReplaceWith("char"))
        public val CHAR: KaType
            get() = char
    
        public abstract val string: KaType
    
        @Deprecated("Use 'string' instead.", replaceWith = ReplaceWith("string"))
    Registered: Wed Jun 12 09:53:16 UTC 2024
    - Last Modified: Tue Jun 11 15:45:42 UTC 2024
    - 11.4K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tf2xla/api/v1/compile_tf_graph.cc

        {tsl::monitoring::Buckets::Exponential(1, 1.5, 45)});
    
    // There were no MLIR ops so the old bridge was called successfully.
    constexpr char kOldBridgeNoMlirSuccess[] = "kOldBridgeNoMlirSuccess";
    // There were no MLIR ops so the old bridge was called but it failed.
    constexpr char kOldBridgeNoMlirFailure[] = "kOldBridgeNoMlirFailure";
    
    namespace {
    
    // Time the execution of kernels (in CPU cycles). Meant to be used as RAII.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 22:19:26 UTC 2024
    - 14K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate_registration.cc

    #include "tsl/platform/protobuf.h"
    
    namespace mlir {
    using tsl::Status;
    using tsl::StatusOr;
    
    static constexpr char kMlirToGraphCompilationCheckName[] =
        "mlir-to-graph-compilation-check";
    // Use CPU arbitrarily in order to check that a graph compiles at all
    static constexpr char kArbitraryDeviceName[] = "XLA_CPU_JIT";
    
    namespace {
    inline absl::string_view StringRefToView(llvm::StringRef ref) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 22:19:26 UTC 2024
    - 7.8K bytes
    - Viewed (0)
  8. analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/components/KtFirBuiltInTypes.kt

        override val float: KaType by cachedBuiltin(builtinTypes.floatType)
        override val double: KaType by cachedBuiltin(builtinTypes.doubleType)
    
        override val char: KaType by cachedBuiltin(builtinTypes.charType)
        override val boolean: KaType by cachedBuiltin(builtinTypes.booleanType)
        override val string: KaType by cachedBuiltin(builtinTypes.stringType)
    
    Registered: Wed Jun 12 09:53:16 UTC 2024
    - Last Modified: Tue Jun 11 15:45:42 UTC 2024
    - 2.2K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/lite/quantization/lite/tfl_quantizer.cc

          tflite::TensorType_INT8, {}, /*disable_per_channel=*/false,
          /*fully_quantize=*/true, output_buffer);
    }
    
    }  // namespace
    }  // namespace mlir
    
    int main(int argc, char** argv) {
      llvm::InitLLVM y(argc, argv);
      llvm::cl::ParseCommandLineOptions(argc, argv);
      auto file_or_err = llvm::MemoryBuffer::getFileOrSTDIN(inputFileName.c_str());
      if (std::error_code error = file_or_err.getError()) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 23:15:24 UTC 2024
    - 2.4K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/lite/sparsity/sparsify_model_test.cc

      flatbuffers::FlatBufferBuilder output_builder;
      ASSERT_TRUE(SparsifyModel(input_model, &output_builder).ok());
      auto output_fbm = tflite::FlatBufferModel::BuildFromBuffer(
          reinterpret_cast<const char*>(output_builder.GetCurrentBufferPointer()),
          output_builder.GetSize());
      tflite::ModelT output_model;
      output_fbm->GetModel()->UnPackTo(&output_model);
    
      // Extract output metadata
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Jun 10 20:16:40 UTC 2024
    - 2.9K bytes
    - Viewed (0)
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