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Results 1 - 10 of 47 for shape_1 (0.07 sec)

  1. tensorflow/c/c_api_test.cc

    TEST_F(CApiAttributesTest, ShapeList) {
      const int64_t shape_1[] = {1, 3};
      const int64_t shape_2[] = {2, 4, 6};
      const int64_t* list[] = {&shape_1[0], &shape_2[0]};
      const size_t list_size = TF_ARRAYSIZE(list);
      const int ndims[] = {TF_ARRAYSIZE(shape_1), TF_ARRAYSIZE(shape_2)};
      const int total_ndims = 5;  // ndims[0] + ndims[1]
    
      auto desc = init("list(shape)");
      TF_SetAttrShapeList(desc, "v", list, ndims, list_size);
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 16:27:48 UTC 2024
    - 97K bytes
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  2. tensorflow/c/eager/parallel_device/parallel_device_lib.h

      ParallelTensor(const ParallelDevice& device,
                     std::vector<TensorHandlePtr> tensors,
                     absl::Span<const int64_t> shape, const TF_DataType dtype)
          : device_(device),
            tensors_(std::move(tensors)),
            shape_(std::vector<int64_t>(shape.begin(), shape.end())),
            dtype_(dtype) {}
      ParallelTensor(const ParallelDevice& device,
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Mon Oct 21 04:14:14 UTC 2024
    - 13.1K bytes
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  3. tensorflow/c/eager/parallel_device/parallel_device_lib.cc

          new ParallelTensor(parallel_device, std::move(components), dtype));
    }
    
    absl::Status ParallelTensor::Shape(const std::vector<int64_t>** shape) const {
      if (!shape_.has_value()) {
        TF_Status status;
        PartialTensorShape combined_shape;
        TF_RETURN_IF_ERROR(unwrap(tensors_[0].get())->Shape(&combined_shape));
    
        for (const TensorHandlePtr& component : tensors_) {
          PartialTensorShape component_shape;
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Mon Oct 21 04:14:14 UTC 2024
    - 25.9K bytes
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  4. tensorflow/c/eager/c_api_unified_experimental_graph.cc

        std::vector<PartialTensorShape> shapes;
        shapes.reserve(num_values);
        for (int i = 0; i < num_values; ++i) {
          if (num_dims[i] < 0) {
            shapes.emplace_back();
          } else {
            shapes.emplace_back(ArraySlice<int64_t>(
                reinterpret_cast<const int64_t*>(dims[i]), num_dims[i]));
          }
        }
        op_->node_builder.Attr(attr_name, shapes);
        return absl::OkStatus();
      }
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 05:11:17 UTC 2024
    - 15.7K bytes
    - Viewed (0)
  5. tensorflow/c/c_api.cc

      std::vector<PartialTensorShape> shapes;
      shapes.reserve(num_shapes);
      for (int i = 0; i < num_shapes; ++i) {
        if (num_dims[i] < 0) {
          shapes.emplace_back();
        } else {
          shapes.emplace_back(ArraySlice<int64_t>(
              reinterpret_cast<const int64_t*>(dims[i]), num_dims[i]));
        }
      }
      desc->node_builder.Attr(attr_name, shapes);
    }
    
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 16:27:48 UTC 2024
    - 102.3K bytes
    - Viewed (0)
  6. tensorflow/c/eager/immediate_execution_tensor_handle.h

      //
      // -1 indicates an unknown axis length; this is unreachable for most standard
      // ImmediateExecutionTensorHandles, but comes up for example when computing
      // the shape of a parallel tensor with component shapes differing across
      // devices.
      virtual absl::Status Dim(int dim_index, int64_t* dim) const = 0;
    
      // Returns the device which created the handle.
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 05:11:17 UTC 2024
    - 4.3K bytes
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  7. tensorflow/c/eager/c_api_experimental.h

      int version = TFE_CUSTOM_DEVICE_VERSION;
    
      // Computes the rank of the tensor handle.
      //
      // Shapes are specified via callbacks because retrieving the shape of a tensor
      // is a blocking operation for async eager; custom devices should avoid
      // retrieving shapes of tensors they wrap until the custom device tensor's
      // shape is explicitly requested where possible.
      int (*num_dims)(void* data, TF_Status* status);
    
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Wed Feb 21 22:37:46 UTC 2024
    - 39.5K bytes
    - Viewed (0)
  8. tensorflow/c/eager/c_api_test_util.cc

      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);
      CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
      TFE_OpAddInput(op, a, status);
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Wed Feb 21 22:37:46 UTC 2024
    - 23.5K bytes
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  9. RELEASE.md

    *   Tracing/timeline support for distributed runtime (no GPU profiler yet).
    *   C API gives access to inferred shapes with `TF_GraphGetTensorNumDims` and
        `TF_GraphGetTensorShape`.
    *   Shape functions for core ops have moved to C++ via
        `REGISTER_OP(...).SetShapeFn(...)`. Python shape inference RegisterShape
        calls use the C++ shape functions with `common_shapes.call_cpp_shape_fn`. A
        future release will remove `RegisterShape` from python.
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Tue Oct 22 14:33:53 UTC 2024
    - 735.3K bytes
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  10. tensorflow/c/eager/abstract_tensor_handle.h

      virtual absl::Status TensorHandleStatus() const;
    
      // Returns tensor shape. If tensor has unknown rank, shape remains untouched.
      virtual absl::Status Shape(tensorflow::PartialTensorShape* shape) const = 0;
    
      // Returns tensor (full) type.
      // While there is no immediate plan to deprecate dtype and shape in favor
      // of only using full type type information, this is a future possibility.
      //
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 05:11:17 UTC 2024
    - 3K bytes
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