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Results 1 - 6 of 6 for new_dims (0.05 sec)

  1. tensorflow/c/c_api_experimental_test.cc

        CHECK_EQ(output_shapes->num_items, 1);
    
        int num_dims = output_shapes->items[0].num_dims;
        int64_t* dims = output_shapes->items[0].dims;
    
        if (!expected_shape.has_value()) {
          EXPECT_EQ(num_dims, -1);
          EXPECT_EQ(dims, nullptr);
          return;
        }
    
        EXPECT_EQ(num_dims, expected_shape->size());
        for (size_t i = 0; i < num_dims; ++i) {
          EXPECT_EQ(dims[i], (*expected_shape)[i]);
        }
    Registered: Tue Dec 30 12:39:10 UTC 2025
    - Last Modified: Tue Jan 17 22:27:52 UTC 2023
    - 13.1K bytes
    - Viewed (0)
  2. tensorflow/c/c_api_experimental.cc

                                     const int64_t* dims, int num_dims) {
      DCHECK(index >= 0 && index < shape_list->num_items);
      TF_ShapeAndType& shape = shape_list->items[index];
      DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!";
      DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!";
      shape.num_dims = num_dims;
      shape.dims = new int64_t[num_dims];
      memcpy(shape.dims, dims, sizeof(int64_t) * num_dims);
    Registered: Tue Dec 30 12:39:10 UTC 2025
    - Last Modified: Sat Oct 04 05:55:32 UTC 2025
    - 29.4K bytes
    - Viewed (0)
  3. tensorflow/c/c_test_util.cc

    TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values) {
      int64_t num_values = 1;
      for (int i = 0; i < num_dims; ++i) {
        num_values *= dims[i];
      }
      TF_Tensor* t =
          TF_AllocateTensor(TF_INT8, dims, num_dims, sizeof(char) * num_values);
      memcpy(TF_TensorData(t), values, sizeof(char) * num_values);
      return t;
    }
    
    TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims,
    Registered: Tue Dec 30 12:39:10 UTC 2025
    - Last Modified: Sat Oct 04 05:55:32 UTC 2025
    - 17.8K bytes
    - Viewed (1)
  4. docs/ru/docs/advanced/additional-responses.md

    ```Python
    old_dict = {
        "old key": "old value",
        "second old key": "second old value",
    }
    new_dict = {**old_dict, "new key": "new value"}
    ```
    
    Здесь `new_dict` будет содержать все пары ключ-значение из `old_dict` плюс новую пару ключ-значение:
    
    ```Python
    {
        "old key": "old value",
        "second old key": "second old value",
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Dec 17 20:41:43 UTC 2025
    - 12.3K bytes
    - Viewed (0)
  5. tensorflow/c/c_api_experimental.h

    // Read the shape of a variable and write to `dims`
    TF_CAPI_EXPORT extern void TF_CheckpointReaderGetVariableShape(
        TF_CheckpointReader* reader, const char* name, int64_t* dims, int num_dims,
        TF_Status* status);
    // Get the number of dimension of a variable
    TF_CAPI_EXPORT extern int TF_CheckpointReaderGetVariableNumDims(
        TF_CheckpointReader* reader, const char* name);
    // Load the weight of a variable
    Registered: Tue Dec 30 12:39:10 UTC 2025
    - Last Modified: Thu Apr 27 21:07:00 UTC 2023
    - 15.1K bytes
    - Viewed (0)
  6. docs/de/docs/advanced/additional-responses.md

    ```Python
    old_dict = {
        "old key": "old value",
        "second old key": "second old value",
    }
    new_dict = {**old_dict, "new key": "new value"}
    ```
    
    Hier wird `new_dict` alle Schlüssel-Wert-Paare von `old_dict` plus das neue Schlüssel-Wert-Paar enthalten:
    
    ```Python
    {
        "old key": "old value",
        "second old key": "second old value",
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Dec 17 20:41:43 UTC 2025
    - 10K bytes
    - Viewed (0)
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