// Copyright 2022 Google LLC
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.

#include <assert.h>
#include <inttypes.h>
#include <stddef.h>
#include <stdint.h>

#include "xnnpack.h"
#include "xnnpack/common.h"
#include "xnnpack/datatype.h"
#include "xnnpack/log.h"
#include "xnnpack/node-type.h"
#include "xnnpack/operator-type.h"
#include "xnnpack/operator.h"
#include "xnnpack/subgraph-validation.h"
#include "xnnpack/subgraph.h"
#include "pthreadpool.h"

static enum xnn_status create_space_to_depth_operator(
  const struct xnn_node* node,
  const struct xnn_value* values,
  size_t num_values,
  struct xnn_operator_data* opdata,
  struct xnn_code_cache* code_cache,
  xnn_weights_cache_t weights_cache)
{
  assert(node->num_inputs == 1);
  assert(node->num_outputs == 1);

  enum xnn_status status;
  assert(values[node->inputs[0]].layout == xnn_layout_type_nhwc);
  assert(values[node->outputs[0]].layout == xnn_layout_type_nhwc);

  const uint32_t input_id = node->inputs[0];
  assert(input_id != XNN_INVALID_VALUE_ID);
  assert(input_id < num_values);
  const struct xnn_value *input_value = &values[input_id];
  switch (xnn_datatype_size_bytes(input_value->datatype)) {
    case 1:
      status = xnn_create_space_to_depth_nhwc_x8(
          node->params.space_to_depth_2d.block_size,
          node->flags,
          &opdata->operator_objects[0]);
      break;
    case 2:
      status = xnn_create_space_to_depth_nhwc_x16(
          node->params.space_to_depth_2d.block_size,
          node->flags,
          &opdata->operator_objects[0]);
      break;
    case 4:
      status = xnn_create_space_to_depth_nhwc_x32(
          node->params.space_to_depth_2d.block_size,
          node->flags,
          &opdata->operator_objects[0]);
      break;
    default:
      XNN_UNREACHABLE;
  }

  return status;
}

static enum xnn_status reshape_space_to_depth_operator(
  struct xnn_operator_data* opdata,
  struct xnn_value* values,
  size_t num_values,
  pthreadpool_t threadpool)
{
  const uint32_t input_id = opdata->inputs[0];
  assert(input_id < num_values);
  const struct xnn_value* input_value = values + input_id;
  const size_t batch_size = input_value->shape.dim[0];
  const size_t input_height = input_value->shape.dim[1];
  const size_t input_width = input_value->shape.dim[2];
  const size_t input_channels = input_value->shape.dim[3];
  enum xnn_status status = xnn_status_invalid_state;
  const size_t old_workspace_size = opdata->workspace_size;
  size_t output_height, output_width, output_channels;
  switch (opdata->operator_objects[0]->type) {
    case xnn_operator_type_space_to_depth_nhwc_x16:
      status = xnn_reshape_space_to_depth_nhwc_x16(
          opdata->operator_objects[0],
          batch_size,
          input_height,
          input_width,
          input_channels,
          &output_height,
          &output_width,
          &output_channels,
          threadpool);
      break;
    case xnn_operator_type_space_to_depth_nhwc_x32:
      status = xnn_reshape_space_to_depth_nhwc_x32(
          opdata->operator_objects[0],
          batch_size,
          input_height,
          input_width,
          input_channels,
          &output_height,
          &output_width,
          &output_channels,
          threadpool);
      break;
    case xnn_operator_type_space_to_depth_nhwc_x8:
      status = xnn_reshape_space_to_depth_nhwc_x8(
          opdata->operator_objects[0],
          batch_size,
          input_height,
          input_width,
          input_channels,
          &output_height,
          &output_width,
          &output_channels,
          threadpool);
      break;
    default:
      XNN_UNREACHABLE;
  }
  if (status != xnn_status_success) {
    return status;
  }
  const uint32_t output_id = opdata->outputs[0];
  assert(output_id < num_values);
  struct xnn_value* output_value = values + output_id;
  output_value->shape.num_dims = 4;
  output_value->shape.dim[0] = batch_size;
  output_value->shape.dim[1] = output_height;
  output_value->shape.dim[2] = output_width;
  output_value->shape.dim[3] = output_channels;

  const size_t new_size = xnn_tensor_get_size(output_value);
  if (new_size > output_value->size || opdata->workspace_size > old_workspace_size) {
    output_value->size = new_size;
    return xnn_status_reallocation_required;
  }
  return xnn_status_success;
}

static enum xnn_status setup_space_to_depth_operator(
  const struct xnn_operator_data* opdata,
  const struct xnn_value* values,
  size_t num_values,
  pthreadpool_t threadpool)
{
  const uint32_t input_id = opdata->inputs[0];
  assert(input_id != XNN_INVALID_VALUE_ID);
  assert(input_id < num_values);

  const uint32_t output_id = opdata->outputs[0];
  assert(output_id != XNN_INVALID_VALUE_ID);
  assert(output_id < num_values);

  const struct xnn_value* input_value = values + input_id;
  const void* input_data = input_value->data;
  assert(input_data != NULL);

  const struct xnn_value* output_value = values + output_id;
  void* output_data = output_value->data;
  assert(output_data != NULL);

  switch (opdata->operator_objects[0]->type) {
    case xnn_operator_type_space_to_depth_nhwc_x16:
      return xnn_setup_space_to_depth_nhwc_x16(
          opdata->operator_objects[0],
          input_data,
          output_data);
    case xnn_operator_type_space_to_depth_nhwc_x32:
      return xnn_setup_space_to_depth_nhwc_x32(
          opdata->operator_objects[0],
          input_data,
          output_data);
    case xnn_operator_type_space_to_depth_nhwc_x8:
      return xnn_setup_space_to_depth_nhwc_x8(
          opdata->operator_objects[0],
          input_data,
          output_data);
    default:
      XNN_UNREACHABLE;
  }
}

enum xnn_status xnn_define_space_to_depth_2d(
  xnn_subgraph_t subgraph,
  uint32_t block_size,
  uint32_t input_id,
  uint32_t output_id,
  uint32_t flags)
{
  enum xnn_status status;
  status = xnn_subgraph_check_xnnpack_initialized(xnn_node_type_space_to_depth_2d);
  if (status != xnn_status_success) {
    return status;
  }

  status = xnn_subgraph_check_input_node_id(xnn_node_type_space_to_depth_2d, input_id, subgraph->num_values);
  if (status != xnn_status_success) {
    return status;
  }

  const struct xnn_value* input_value = &subgraph->values[input_id];
  status = xnn_subgraph_check_input_type_dense(xnn_node_type_space_to_depth_2d, input_id, input_value);
  if (status != xnn_status_success) {
    return status;
  }

  if (!xnn_datatype_is_byte_addressable(input_value->datatype)) {
    xnn_log_error(
      "failed to define %s operator with input ID #%" PRIu32 ": unsupported Value datatype %s (%d)",
      xnn_node_type_to_string(xnn_node_type_space_to_depth_2d), input_id,
      xnn_datatype_to_string(input_value->datatype), input_value->datatype);
    return xnn_status_invalid_parameter;
  }

  status = xnn_subgraph_check_output_node_id(xnn_node_type_space_to_depth_2d, output_id, subgraph->num_values);
  if (status != xnn_status_success) {
    return status;
  }

  const struct xnn_value* output_value = &subgraph->values[output_id];
  status = xnn_subgraph_check_output_type_dense(xnn_node_type_space_to_depth_2d, output_id, output_value);
  if (status != xnn_status_success) {
    return status;
  }

  if (!xnn_datatype_is_byte_addressable(output_value->datatype)) {
    xnn_log_error(
      "failed to define %s operator with output ID #%" PRIu32 ": unsupported Value datatype %s (%d)",
      xnn_node_type_to_string(xnn_node_type_space_to_depth_2d), output_id,
      xnn_datatype_to_string(output_value->datatype), output_value->datatype);
    return xnn_status_invalid_parameter;
  }

  status = xnn_subgraph_check_datatype_matches(
    xnn_node_type_space_to_depth_2d, input_id, input_value, output_id, output_value);
  if (status != xnn_status_success) {
    return status;
  }

  status = xnn_subgraph_check_quantization_parameter_matches(
      xnn_node_type_space_to_depth_2d, input_id, input_value, output_id, output_value);
  if (status != xnn_status_success) {
    return status;
  }

  if (block_size < 2) {
    xnn_log_error(
      "failed to define %s operator with block size #%" PRIu32 ": block_size must be >= 2",
      xnn_node_type_to_string(xnn_node_type_space_to_depth_2d), block_size);
    return xnn_status_invalid_parameter;
  }

  struct xnn_node* node = xnn_subgraph_new_node(subgraph);
  if (node == NULL) {
    return xnn_status_out_of_memory;
  }

  node->type = xnn_node_type_space_to_depth_2d;
  node->num_inputs = 1;
  node->inputs[0] = input_id;
  node->num_outputs = 1;
  node->outputs[0] = output_id;
  node->params.space_to_depth_2d.block_size = block_size;
  node->flags = flags;

  node->create = create_space_to_depth_operator;
  node->reshape = reshape_space_to_depth_operator;
  node->setup = setup_space_to_depth_operator;

  return xnn_status_success;
}