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Results 1 - 10 of 11 for CHECK_EQ (0.19 sec)

  1. tensorflow/c/eager/c_api_test.cc

        CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
        TFE_Execute(op, &h, &num_retvals, status);
        CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
        CHECK_EQ(1, num_retvals);
        CHECK(h);
        CHECK_EQ(TF_FLOAT, TFE_TensorHandleDataType(h));
        CHECK_EQ(0, TFE_TensorHandleNumDims(h, status));
        CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
        h = nullptr;
        TFE_DeleteOp(op);
      }
    
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Aug 03 20:50:20 GMT 2023
    - 94.6K bytes
    - Viewed (1)
  2. tensorflow/c/eager/c_api_experimental_test.cc

      CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
      int num_devices = TF_DeviceListCount(devices);
      for (int d = 0; d < num_devices; ++d) {
        const char* name = TF_DeviceListName(devices, d, status);
        CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
        TFE_TensorHandle* copy = TFE_TensorHandleCopyToDevice(m, ctx, name, status);
        CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Aug 03 03:14:26 GMT 2023
    - 31.5K bytes
    - Viewed (1)
  3. tensorflow/c/eager/c_api_test_util.cc

      CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
      TFE_OpAddInput(op, a, status);
      CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
      TF_DeleteStatus(status);
      TFE_OpSetAttrType(op, "T", TFE_TensorHandleDataType(a));
    
      return op;
    }
    
    TFE_Op* ShapeOp(TFE_Context* ctx, TFE_TensorHandle* a) {
      TF_Status* status = TF_NewStatus();
    
      TFE_Op* op = TFE_NewOp(ctx, "Shape", status);
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Wed Feb 21 22:37:46 GMT 2024
    - 23.5K bytes
    - Viewed (2)
  4. tensorflow/c/experimental/gradients/custom_gradient_test.cc

        Status s = StatusFromTF_Status(status.get());
        CHECK_EQ(errors::OK, s.code()) << s.message();
      }
    };
    
    class PassThroughGradientFunction : public GradientFunction {
     public:
      Status Compute(AbstractContext* ctx,
                     absl::Span<AbstractTensorHandle* const> grad_outputs,
                     absl::Span<AbstractTensorHandle*> grad_inputs) override {
        CHECK_EQ(grad_outputs.size(), 1);
        CHECK_EQ(grad_inputs.size(), 1);
    C++
    - Registered: Tue Mar 26 12:39:09 GMT 2024
    - Last Modified: Wed Feb 28 13:53:47 GMT 2024
    - 4.8K bytes
    - Viewed (0)
  5. tensorflow/c/eager/unified_api_test.cc

     protected:
      void SetUp() override {
        TF_StatusPtr status(TF_NewStatus());
        TF_SetTracingImplementation(std::get<0>(GetParam()), status.get());
        Status s = StatusFromTF_Status(status.get());
        CHECK_EQ(errors::OK, s.code()) << s.message();
      }
    
     public:
      bool UseMlir() const { return strcmp(std::get<0>(GetParam()), "mlir") == 0; }
      bool UseFunction() const { return std::get<2>(GetParam()); }
    };
    
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Feb 27 13:57:45 GMT 2024
    - 6.7K bytes
    - Viewed (0)
  6. tensorflow/c/c_api_test.cc

      TF_DeviceList* device_list = list.get();
    
      CHECK_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
    
      const int num_devices = TF_DeviceListCount(device_list);
      LOG(INFO) << "There are " << num_devices << " devices.";
      for (int i = 0; i < num_devices; ++i) {
        const char* device_name = TF_DeviceListName(device_list, i, s);
        CHECK_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 15 03:35:10 GMT 2024
    - 96.9K bytes
    - Viewed (3)
  7. tensorflow/c/eager/gradients_test.cc

     protected:
      void SetUp() override {
        TF_StatusPtr status(TF_NewStatus());
        TF_SetTracingImplementation(std::get<0>(GetParam()), status.get());
        Status s = StatusFromTF_Status(status.get());
        CHECK_EQ(errors::OK, s.code()) << s.message();
      }
    };
    
    Status RegisterGradients(GradientRegistry* registry) {
      TF_RETURN_IF_ERROR(RegisterNotDifferentiable(registry, "CheckNumerics"));
      return absl::OkStatus();
    }
    
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Feb 15 09:49:45 GMT 2024
    - 7K bytes
    - Viewed (0)
  8. tensorflow/c/eager/c_api_test_util.h

      TF_Tensor* t = TFE_AllocateHostTensor(ctx, datatype, dims, num_dims, status);
      memcpy(TF_TensorData(t), data, TF_TensorByteSize(t));
      TFE_TensorHandle* th = TFE_NewTensorHandleFromTensor(ctx, t, status);
      CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
      TF_DeleteTensor(t);
      TF_DeleteStatus(status);
      return th;
    }
    
    // Return a scalar tensor handle with given values.
    template <class T, TF_DataType datatype>
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Jul 17 23:43:59 GMT 2023
    - 7.7K bytes
    - Viewed (0)
  9. tensorflow/c/eager/tape.h

    bool GradientTape<Gradient, BackwardFunction, TapeTensor>::ShouldRecord(
        absl::Span<const int64_t> tensor_ids,
        absl::Span<const tensorflow::DataType> dtypes) const {
      CHECK_EQ(tensor_ids.size(), dtypes.size());
      for (int i = 0; i < tensor_ids.size(); ++i) {
        if (tensor_tape_.find(tensor_ids[i]) != tensor_tape_.end()) {
          if (IsDtypeTrainable(dtypes[i])) {
            return true;
          }
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 02 12:40:29 GMT 2024
    - 47.2K bytes
    - Viewed (1)
  10. tensorflow/c/c_api.cc

      int64_t nelems = 1;
      std::vector<int64_t> dims;
      dims.reserve(shape.dims());
      for (int i = 0; i < shape.dims(); ++i) {
        dims.push_back(shape.dim_size(i));
        nelems *= shape.dim_size(i);
      }
      CHECK_EQ(nelems, 0);
      return TF_NewTensor(
          dtype, reinterpret_cast<const int64_t*>(dims.data()), shape.dims(),
          reinterpret_cast<void*>(&empty), 0, [](void*, size_t, void*) {}, nullptr);
    }
    
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 15 03:35:10 GMT 2024
    - 102.3K bytes
    - Viewed (0)
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