{
  "$schema": "https://ambiqai.github.io/helia-ui/schema/reference-model-1.json",
  "generatedFrom": {
    "sourceCommit": "5f3fed9f21a57390cc7f00f77a37db8f5f110cb8",
    "tool": "doxyref",
    "version": "1.17.0"
  },
  "language": "c",
  "modules": [
    {
      "description": "",
      "name": "Pad Layer Functions:",
      "path": "heliaCORE.Pad",
      "submodules": [],
      "summary": "",
      "symbols": [
        {
          "description": "Pad a tensor with a constant value.",
          "examples": [],
          "id": "arm_pad_f32",
          "kind": "function",
          "language": "c",
          "members": [],
          "name": "arm_pad_f32",
          "params": [
            {
              "description": "Pointer to the input tensor data.",
              "direction": "in",
              "name": "input",
              "type": "const float32_t *"
            },
            {
              "description": "Pointer to the output tensor data, sized by `input_size` plus `pre_pad` and `post_pad` in every dimension.",
              "direction": "out",
              "name": "output",
              "type": "float32_t *"
            },
            {
              "description": "Value to pad with.",
              "direction": "in",
              "name": "pad_value",
              "type": "float32_t"
            },
            {
              "description": "Input tensor dimensions.",
              "direction": "in",
              "name": "input_size",
              "type": "const cmsis_nn_dims *"
            },
            {
              "description": "Padding to apply before the data in each dimension.",
              "direction": "in",
              "name": "pre_pad",
              "type": "const cmsis_nn_dims *"
            },
            {
              "description": "Padding to apply after the data in each dimension.",
              "direction": "in",
              "name": "post_pad",
              "type": "const cmsis_nn_dims *"
            }
          ],
          "raises": [],
          "returns": [
            {
              "description": "`ARM_CMSIS_NN_SUCCESS` on success, or `ARM_CMSIS_NN_ARG_ERROR` when a pointer is NULL or a padded output dimension is not positive."
            }
          ],
          "signature": "arm_cmsis_nn_status arm_pad_f32(\n    const float32_t *input,\n    float32_t *output,\n    float32_t pad_value,\n    const cmsis_nn_dims *input_size,\n    const cmsis_nn_dims *pre_pad,\n    const cmsis_nn_dims *post_pad\n)",
          "source": {
            "line": 1361,
            "path": "Include/arm_nnfunctions_flt.h",
            "url": "https://github.com/AmbiqAI/ns-cmsis-nn/blob/5f3fed9f21a57390cc7f00f77a37db8f5f110cb8/Include/arm_nnfunctions_flt.h#L1361"
          },
          "summary": "Pad a tensor with a constant value."
        },
        {
          "description": "Pad a tensor with a constant value.",
          "examples": [],
          "id": "arm_pad_f16",
          "kind": "function",
          "language": "c",
          "members": [],
          "name": "arm_pad_f16",
          "params": [
            {
              "description": "Pointer to the input tensor data.",
              "direction": "in",
              "name": "input",
              "type": "const float16_t *"
            },
            {
              "description": "Pointer to the output tensor data, sized by `input_size` plus `pre_pad` and `post_pad` in every dimension.",
              "direction": "out",
              "name": "output",
              "type": "float16_t *"
            },
            {
              "description": "Value to pad with.",
              "direction": "in",
              "name": "pad_value",
              "type": "float16_t"
            },
            {
              "description": "Input tensor dimensions.",
              "direction": "in",
              "name": "input_size",
              "type": "const cmsis_nn_dims *"
            },
            {
              "description": "Padding to apply before the data in each dimension.",
              "direction": "in",
              "name": "pre_pad",
              "type": "const cmsis_nn_dims *"
            },
            {
              "description": "Padding to apply after the data in each dimension.",
              "direction": "in",
              "name": "post_pad",
              "type": "const cmsis_nn_dims *"
            }
          ],
          "raises": [],
          "returns": [
            {
              "description": "`ARM_CMSIS_NN_SUCCESS` on success, or `ARM_CMSIS_NN_ARG_ERROR` when a pointer is NULL or a padded output dimension is not positive."
            }
          ],
          "signature": "arm_cmsis_nn_status arm_pad_f16(\n    const float16_t *input,\n    float16_t *output,\n    float16_t pad_value,\n    const cmsis_nn_dims *input_size,\n    const cmsis_nn_dims *pre_pad,\n    const cmsis_nn_dims *post_pad\n)",
          "source": {
            "line": 3255,
            "path": "Include/arm_nnfunctions_flt.h",
            "url": "https://github.com/AmbiqAI/ns-cmsis-nn/blob/5f3fed9f21a57390cc7f00f77a37db8f5f110cb8/Include/arm_nnfunctions_flt.h#L3255"
          },
          "summary": "Pad a tensor with a constant value."
        }
      ]
    }
  ],
  "name": "heliaCORE"
}