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Results 1 - 10 of 13 for shape_representation_fn (0.23 sec)

  1. tensorflow/compiler/jit/xla_compiler_options_util_test.cc

                                    std::move(compiler_client));
    }
    
    std::vector<XlaShapeLayoutHelpers::ShapeDeterminationFns>
    GetShapeDeterminationFns() {
      XlaHelpers::ShapeRepresentationFn shape_representation_fn =
          [](const TensorShape&, DataType, bool, XlaLayoutPreference) {
            return xla::Shape();
          };
      XlaShapeLayoutHelpers::LayoutPreferenceFn layout_preference_fn =
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Dec 29 01:41:20 UTC 2023
    - 14.8K bytes
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  2. tensorflow/compiler/jit/xla_compiler_options_util.cc

              << (options.shape_determination_fns.layout_preference_fn != nullptr)
              << ",options.shape_determination_fns.shape_representation_fn?="
              << (options.shape_determination_fns.shape_representation_fn !=
                  nullptr)
              << ",allow_cpu_custom_calls=" << options.allow_cpu_custom_calls
              << ",populate_resource_manager=" << options.populate_resource_manager
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 21 09:53:30 UTC 2024
    - 6.4K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tf2xla/api/v1/compile_mlir_util.cc

        auto layout_preference = shape_determination_fns.layout_preference_fn(
            arg_shapes[i].shape, arg_dtype, std::nullopt);
        TF_ASSIGN_OR_RETURN(xla_shape,
                            shape_determination_fns.shape_representation_fn(
                                arg_shapes[i].shape, arg_dtype,
                                /*use_fast_memory=*/false, layout_preference));
    
        // Rewrite layout with sharding, if sharding is set.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 21 17:24:39 UTC 2024
    - 45.3K bytes
    - Viewed (0)
  4. tensorflow/compiler/jit/xla_device_context.cc

              device_tensor->shape(), device_tensor->dtype(), std::nullopt);
      Status status = [&]() -> Status {
        TF_ASSIGN_OR_RETURN(xla::Shape shape,
                            shape_determination_fns_.shape_representation_fn(
                                device_tensor->shape(), device_tensor->dtype(),
                                /*fast_mem=*/false, layout_preference));
    
        // The device tensor should always be fresh.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 00:36:08 UTC 2024
    - 12.7K bytes
    - Viewed (0)
  5. tensorflow/compiler/jit/pjrt_device_context.cc

          shape_determination_fns.layout_preference_fn(
              cpu_tensor->shape(), cpu_tensor->dtype(), std::nullopt);
      TF_ASSIGN_OR_RETURN(xla::Shape shape,
                          shape_determination_fns.shape_representation_fn(
                              cpu_tensor->shape(), cpu_tensor->dtype(),
                              /*fast_mem=*/false, layout_preference));
      const xla::Layout* device_layout = &(shape.layout());
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 13 08:49:31 UTC 2024
    - 11.6K bytes
    - Viewed (0)
  6. tensorflow/compiler/jit/xla_device.h

      // from failures.
      Status EnsureDeviceContextOk() TF_LOCKS_EXCLUDED(mu_);
    
      // Two convenient methods to get the underlying device context.
      // Get the default device context, created by the first
      // shape_representation_fn.
      absl::StatusOr<DeviceContext*> GetDeviceContextDefault();
      // Get the device context given the index.
      absl::StatusOr<DeviceContext*> GetDeviceContextWithIndex(int index);
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 21 09:53:30 UTC 2024
    - 13.4K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/tensorflow/utils/tf_xla_mlir_translate.cc

      xla::XlaComputation* xla_computation = compilation_result->computation.get();
      *xla_computation = xla::XlaComputation(hlo_proto.hlo_module());
    
      XlaHelpers::ShapeRepresentationFn shape_representation_fn =
          IdentityShapeRepresentationFn();
      XlaShapeLayoutHelpers::ShapeDeterminationFns shape_determination_fns{
          UseNoPreferenceLayoutFn(), IdentityShapeRepresentationFn()};
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 18.8K bytes
    - Viewed (0)
  8. tensorflow/compiler/jit/xla_tpu_device.cc

            shape_determination_fns.layout_preference_fn(
                input->shape(), input->dtype(), std::nullopt);
        TF_ASSIGN_OR_RETURN(xla::Shape shape,
                            shape_determination_fns.shape_representation_fn(
                                input->shape(), input->dtype(),
                                /*use_fast_memory=*/false, layout_preference));
        TF_RETURN_IF_ERROR(xla_output->AllocateShapedBuffer(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 28 22:53:47 UTC 2024
    - 20.9K bytes
    - Viewed (0)
  9. tensorflow/compiler/jit/xla_cpu_device.cc

      options.compilation_device_name = DEVICE_CPU_XLA_JIT;
      options.use_multiple_streams = false;
      XlaShapeLayoutHelpers::ShapeDeterminationFns shape_representation_fns{
          UseNoPreferenceLayoutFn(), IdentityShapeRepresentationFn()};
      options.shape_determination_fns = {shape_representation_fns};
      auto device = std::make_unique<XlaDevice>(session_options, options);
    
      // Setting AcceleratorDeviceInfo because eager runtime relies on the device
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 22 08:47:20 UTC 2024
    - 5.5K bytes
    - Viewed (0)
  10. tensorflow/compiler/jit/xla_gpu_device.cc

        options.use_multiple_streams = true;
        options.allowed_devices = gpu_ids;
        XlaShapeLayoutHelpers::ShapeDeterminationFns shape_representation_fns{
            UseNoPreferenceLayoutFn(), IdentityShapeRepresentationFn()};
        options.shape_determination_fns = {shape_representation_fns};
        auto device = std::make_unique<XlaDevice>(session_options, options);
    
        Status status = device->UseAcceleratorDeviceInfo();
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 22 08:47:20 UTC 2024
    - 6.6K bytes
    - Viewed (0)
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