#ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/Tensor.c"
#else

#include "luaG.h"

static void torch_Tensor_(c_readTensorStorageSizeStride)(lua_State *L, int index, int allowNone, int allowTensor, int allowStorage, int allowStride,
                                                         THStorage **storage_, ptrdiff_t *storageOffset_, THLongStorage **size_, THLongStorage **stride_);

static void torch_Tensor_(c_readSizeStride)(lua_State *L, int index, int allowStride, THLongStorage **size_, THLongStorage **stride_);

static int torch_Tensor_(size)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  if(lua_isnumber(L,2))
  {
    int dim = luaL_checkint(L, 2)-1;
    THArgCheck(dim >= 0 && dim < tensor->nDimension, 2, "dimension %d out of range of %dD tensor",
        dim+1, THTensor_(nDimension)(tensor));
    luaT_pushlong(L, tensor->size[dim]);
  }
  else
  {
    THLongStorage *size = THTensor_(newSizeOf)(tensor);
    luaT_pushudata(L, size, "torch.LongStorage");
  }
  return 1;
}

static int torch_Tensor_(elementSize)(lua_State *L)
{
  luaT_pushinteger(L, THStorage_(elementSize)());
  return 1;
}

static int torch_Tensor_(stride)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  if(lua_isnumber(L,2))
  {
    int dim = luaL_checkint(L, 2)-1;
    THArgCheck(dim >= 0 && dim < tensor->nDimension, 2, "dimension %d out of range of %dD tensor",
        dim+1, THTensor_(nDimension)(tensor));
    luaT_pushlong(L, tensor->stride[dim]);
  }
  else
  {
    THLongStorage *storage = THLongStorage_newWithSize(tensor->nDimension);
    memmove(storage->data, tensor->stride, sizeof(long)*tensor->nDimension);
    luaT_pushudata(L, storage, "torch.LongStorage");
  }
  return 1;
}

static int torch_Tensor_(nDimension)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  luaT_pushinteger(L, tensor->nDimension);
  return 1;
}

static int torch_Tensor_(storage)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  if(tensor->storage)
  {
    THStorage_(retain)(tensor->storage);
    luaT_pushudata(L, tensor->storage, torch_Storage);
  }
  else
    lua_pushnil(L);

  return 1;
}

static int torch_Tensor_(storageOffset)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  luaT_pushinteger(L, tensor->storageOffset+1);
  return 1;
}

static int torch_Tensor_(new)(lua_State *L)
{
  THTensor *tensor;
  ptrdiff_t storageOffset;
  THLongStorage *size, *stride;

  if(lua_type(L, 1) == LUA_TTABLE)
  {
    ptrdiff_t i, j;
    THLongStorage *counter;
    ptrdiff_t si = 0;
    int dimension = 0;
    int is_finished = 0;

    lua_settop(L, 1);
    size = THLongStorage_new();

    while( (lua_type(L, -1) == LUA_TTABLE) && (lua_objlen(L, -1) > 0) )
    {
      THLongStorage_resize(size, dimension+1);
      size->data[dimension] = lua_objlen(L, -1);
      dimension++;
      lua_rawgeti(L, -1, 1);
    }
    lua_pop(L, 1);

    counter = THLongStorage_newWithSize(size->size);
    THLongStorage_fill(counter, 0);

    tensor = THTensor_(newWithSize)(size, NULL);

    if(size->size == 0)
      is_finished = 1;

    while(!is_finished)
    {
      if(!lua_istable(L, -1))
      {
        THLongStorage_free(size);
        THLongStorage_free(counter);
        THTensor_(free)(tensor);
        THError("invalid tensor definition");
      }

      if(lua_objlen(L, -1) != size->data[size->size-1])
      {
        THLongStorage_free(size);
        THLongStorage_free(counter);
        THTensor_(free)(tensor);
        THError("invalid tensor sizes");
      }

      for(i = 0; i < size->data[size->size-1]; i++)
      {
        lua_rawgeti(L, -1, i+1);
        if(!lua_isnumber(L, -1))
        {
          THLongStorage_free(size);
          THLongStorage_free(counter);
          THTensor_(free)(tensor);
          THError("invalid element (not a number)");
        }
        THStorage_(set)(THTensor_(storage)(tensor), si++, luaG_(checkreal)(L, -1));
        lua_pop(L, 1);
      }

      if(size->size == 1)
        break;

      for(i = size->size-2; i >= 0; i--)
      {
        if(++counter->data[i] == size->data[i])
        {
          if(i == 0)
          {
            is_finished = 1;
            break;
          }
          else
          {
            counter->data[i] = 0;
            lua_pop(L, 1);
          }
        }
        else
        {
          lua_pop(L, 1);
          for(j = i; j < size->size-1; j++)
          {
            if(!lua_istable(L, -1))
            {
              THLongStorage_free(size);
              THLongStorage_free(counter);
              THTensor_(free)(tensor);
              THError("invalid tensor definition");
            }
            if(lua_objlen(L, -1) != size->data[j])
            {
              THLongStorage_free(size);
              THLongStorage_free(counter);
              THTensor_(free)(tensor);
              THError("invalid tensor sizes");
            }
            lua_rawgeti(L, -1, counter->data[j]+1);
          }
          break;
        }
      }
    }

    THLongStorage_free(size);
    THLongStorage_free(counter);
  }
  else
  {
    THStorage *storage;

    torch_Tensor_(c_readTensorStorageSizeStride)(L, 1, 1, 1, 1, 1,
                                                 &storage, &storageOffset, &size, &stride);

    tensor = THTensor_(newWithStorage)(storage, storageOffset, size, stride);

    THLongStorage_free(size);
    THLongStorage_free(stride);
  }

  luaT_pushudata(L, tensor, torch_Tensor);
  return 1;
}

static int torch_Tensor_(set)(lua_State *L)
{
  THTensor *self = luaT_checkudata(L, 1, torch_Tensor);
  THStorage *storage;
  ptrdiff_t storageOffset;
  THLongStorage *size, *stride;

  torch_Tensor_(c_readTensorStorageSizeStride)(L, 2, 1, 1, 1, 1,
                                               &storage, &storageOffset, &size, &stride);

  THTensor_(setStorage)(self, storage, storageOffset, size, stride);

  THLongStorage_free(size);
  THLongStorage_free(stride);

  lua_settop(L, 1);
  return 1;
}

static int torch_Tensor_(clone)(lua_State *L)
{
  THTensor *self = luaT_checkudata(L, 1, torch_Tensor);
  self = THTensor_(newClone)(self);
  luaT_pushudata(L, self, torch_Tensor);
  return 1;
}

static int torch_Tensor_(contiguous)(lua_State *L)
{
  THTensor *self = luaT_checkudata(L, 1, torch_Tensor);
  self = THTensor_(newContiguous)(self);
  luaT_pushudata(L, self, torch_Tensor);
  return 1;
}

/* Resize */
static int torch_Tensor_(resizeAs)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  THTensor *src = luaT_checkudata(L, 2, torch_Tensor);
  THTensor_(resizeAs)(tensor, src);
  lua_settop(L, 1);
  return 1;
}

static int torch_Tensor_(resize)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  THLongStorage *size, *stride;

  torch_Tensor_(c_readSizeStride)(L, 2, 0, &size, &stride);

  THTensor_(resize)(tensor, size, stride);

  THLongStorage_free(size);
  THLongStorage_free(stride);

  lua_settop(L, 1);
  return 1;
}

static int torch_Tensor_(narrow)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  int dimension = luaL_checkint(L, 2)-1;
  long firstIndex = luaL_checklong(L, 3)-1;
  long size = luaL_checklong(L, 4);

/*  THArgCheck( (dimension >= 0) && (dimension < tensor->nDimension), 2, "out of range");
  THArgCheck( (firstIndex >= 0) && (firstIndex < tensor->size[dimension]), 3, "out of range");
  THArgCheck( (size > 0) && (firstIndex+size <= tensor->size[dimension]), 4, "out of range");
*/
  tensor = THTensor_(newWithTensor)(tensor);
  THTensor_(narrow)(tensor, NULL, dimension, firstIndex, size);
  luaT_pushudata(L, tensor, torch_Tensor);
  return 1;
}

static int torch_Tensor_(sub)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  long d0s = -1, d0e = -1, d1s = -1, d1e = -1, d2s = -1, d2e = -1, d3s = -1, d3e = -1;

  d0s = luaL_checklong(L, 2)-1;
  d0e = luaL_checklong(L, 3)-1;
  if(d0s < 0)
    d0s += tensor->size[0]+1;
  if(d0e < 0)
    d0e += tensor->size[0]+1;
  THArgCheck(tensor->nDimension > 0, 2, "invalid dimension");
  THArgCheck(d0s >= 0 && d0s < tensor->size[0], 2, "out of range");
  THArgCheck(d0e >= 0 && d0e < tensor->size[0], 3, "out of range");
  THArgCheck(d0e >= d0s, 3, "end smaller than beginning");

  if(!lua_isnone(L, 4))
  {
    d1s = luaL_checklong(L, 4)-1;
    d1e = luaL_checklong(L, 5)-1;
    if(d1s < 0)
      d1s += tensor->size[1]+1;
    if(d1e < 0)
      d1e += tensor->size[1]+1;
    THArgCheck(tensor->nDimension > 1, 4, "invalid dimension");
    THArgCheck(d1s >= 0 && d1s < tensor->size[1], 4, "out of range");
    THArgCheck(d1e >= 0 && d1e < tensor->size[1], 5, "out of range");
    THArgCheck(d1e >= d1s, 5, "end smaller than beginning");

    if(!lua_isnone(L, 6))
    {
      d2s = luaL_checklong(L, 6)-1;
      d2e = luaL_checklong(L, 7)-1;
      if(d2s < 0)
        d2s += tensor->size[2]+1;
      if(d2e < 0)
        d2e += tensor->size[2]+1;
      THArgCheck(tensor->nDimension > 2, 6, "invalid dimension");
      THArgCheck(d2s >= 0 && d2s < tensor->size[2], 6, "out of range");
      THArgCheck(d2e >= 0 && d2e < tensor->size[2], 7, "out of range");
      THArgCheck(d2e >= d2s, 7, "end smaller than beginning");

      if(!lua_isnone(L, 8))
      {
        d3s = luaL_checklong(L, 8)-1;
        d3e = luaL_checklong(L, 9)-1;
        if(d3s < 0)
          d3s += tensor->size[3]+1;
        if(d3e < 0)
          d3e += tensor->size[3]+1;
        THArgCheck(tensor->nDimension > 3, 8, "invalid dimension");
        THArgCheck(d3s >= 0 && d3s < tensor->size[3], 8, "out of range");
        THArgCheck(d3e >= 0 && d3e < tensor->size[3], 9, "out of range");
        THArgCheck(d3e >= d3s, 9, "end smaller than beginning");
      }
    }
  }

  tensor = THTensor_(newWithTensor)(tensor);
  THTensor_(narrow)(tensor, NULL, 0, d0s, d0e-d0s+1);
  if(d1s >= 0)
    THTensor_(narrow)(tensor, NULL, 1, d1s, d1e-d1s+1);
  if(d2s >= 0)
    THTensor_(narrow)(tensor, NULL, 2, d2s, d2e-d2s+1);
  if(d3s >= 0)
    THTensor_(narrow)(tensor, NULL, 3, d3s, d3e-d3s+1);
  luaT_pushudata(L, tensor, torch_Tensor);
  return 1;
}

static int torch_Tensor_(select)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  int dimension = luaL_checkint(L, 2)-1;
  long sliceIndex = luaL_checklong(L, 3)-1;

/*   THArgCheck(src->nDimension > 1, 1, "cannot select on a vector");
  THArgCheck((dimension >= 0) && (dimension < src->nDimension), 2, "out of range");
  THArgCheck((sliceIndex >= 0) && (sliceIndex < src->size[dimension]), 3, "out of range");
*/

  if(tensor->nDimension > 1)
  {
    tensor = THTensor_(newWithTensor)(tensor);
    THTensor_(select)(tensor, NULL, dimension, sliceIndex);
    luaT_pushudata(L, tensor, torch_Tensor);
  }
  else
  {
    THArgCheck(tensor->nDimension == 1, 1, "empty Tensor");
    luaG_(pushreal)(L, THTensor_(get1d)(tensor, sliceIndex));
  }

  return 1;
}

#ifndef TH_REAL_IS_HALF
static int torch_Tensor_(indexSelect)(lua_State *L)
{
  int narg = lua_gettop(L);
  THTensor *tensor, *src;
  THLongTensor *index;
  int dim;
  if (narg == 3)
  {
    tensor = THTensor_(new)();
    src = luaT_checkudata(L, 1, torch_Tensor);
    dim = luaL_checkint(L, 2) - 1;
    index = luaT_checkudata(L, 3, "torch.LongTensor");
    luaT_pushudata(L,tensor,torch_Tensor);
  }
  else if(narg == 4)
  {
    src = luaT_checkudata(L, 2, torch_Tensor);
    dim = luaL_checkint(L, 3) - 1;
    index = luaT_checkudata(L, 4, "torch.LongTensor");
    tensor = luaT_checkudata(L,1,torch_Tensor);
  }
  else
  {
    THError(torch_Tensor ", number, torch.LongTensor | " torch_Tensor ", " torch_Tensor ", number, torch.LongTensor expected");
    return 0;
  }

  THTensor_(indexSelect)(tensor,src,dim,index);

  return 1;
}

static int torch_Tensor_(indexCopy)(lua_State *L)
{
  int narg = lua_gettop(L);
  THTensor *tensor, *src;
  THLongTensor *index;
  int dim;
  if(narg == 4)
  {
    dim = luaL_checkint(L, 2) - 1;
    index = luaT_checkudata(L, 3, "torch.LongTensor");
    src = luaT_checkudata(L, 4, torch_Tensor);
    tensor = luaT_checkudata(L,1,torch_Tensor);
  }
  else
  {
    THError( torch_Tensor ", number, torch.LongTensor, " torch_Tensor " expected");
    return 0;
  }

  THTensor_(indexCopy)(tensor,dim,index,src);

  return 1;
}

static int torch_Tensor_(indexAdd)(lua_State *L)
{
  int narg = lua_gettop(L);
  THTensor *tensor, *src;
  THLongTensor *index;
  int dim;
  if(narg == 4)
  {
    dim = luaL_checkint(L, 2) - 1;
    index = luaT_checkudata(L, 3, "torch.LongTensor");
    src = luaT_checkudata(L, 4, torch_Tensor);
    tensor = luaT_checkudata(L,1,torch_Tensor);
  }
  else
  {
    THError( torch_Tensor ", number, torch.LongTensor, " torch_Tensor " expected");
    return 0;
  }

  THTensor_(indexAdd)(tensor,dim,index,src);

  return 1;
}

static int torch_Tensor_(indexFill)(lua_State *L)
{
  int narg = lua_gettop(L);
  THTensor *tensor;
  THLongTensor *index;
  real val;
  int dim;
  if(narg == 4)
  {
    dim = luaL_checkint(L, 2) - 1;
    index = luaT_checkudata(L, 3, "torch.LongTensor");
    val = luaG_(checkreal)(L, 4);
    tensor = luaT_checkudata(L,1,torch_Tensor);
  }
  else
  {
    THError( torch_Tensor ", number, torch.LongTensor, number expected");
    return 0;
  }

  THTensor_(indexFill)(tensor,dim,index,val);

  return 1;
}

static int torch_Tensor_(maskedSelect)(lua_State *L)
{
  int narg = lua_gettop(L);
  THTensor *tensor, *src;
  THByteTensor *mask;

  if (narg == 2)
  {
    tensor = THTensor_(new)();
    src = luaT_checkudata(L, 1, torch_Tensor);
    mask = luaT_checkudata(L, 2, "torch.ByteTensor");
    luaT_pushudata(L,tensor,torch_Tensor);
  }
  else if(narg == 3)
  {
    src = luaT_checkudata(L, 2, torch_Tensor);
    mask = luaT_checkudata(L, 3, "torch.ByteTensor");
    tensor = luaT_checkudata(L,1,torch_Tensor);
  }
  else
  {
    THError( torch_Tensor ", torch.ByteTensor | " torch_Tensor ", " torch_Tensor ", torch.ByteTensor expected");
    return 0;
  }

  THTensor_(maskedSelect)(tensor,src,mask);

  return 1;
}

static int torch_Tensor_(maskedCopy)(lua_State *L)
{
  int narg = lua_gettop(L);
  THTensor *tensor, *src;
  THByteTensor *mask;

  if(narg == 3)
  {
    mask = luaT_checkudata(L, 2, "torch.ByteTensor");
    src = luaT_checkudata(L, 3, torch_Tensor);
    tensor = luaT_checkudata(L,1,torch_Tensor);
  }
  else
  {
    THError( torch_Tensor ", torch.ByteTensor, " torch_Tensor " expected");
    return 0;
  }

  THTensor_(maskedCopy)(tensor,mask,src);

  /* return destination */
  lua_pop(L, 2);

  return 1;
}

static int torch_Tensor_(maskedFill)(lua_State *L)
{
  int narg = lua_gettop(L);
  THTensor *tensor;
  THByteTensor *mask;
  real val;
  if(narg == 3)
  {
    mask = luaT_checkudata(L, 2, "torch.ByteTensor");
    val = luaG_(checkreal)(L, 3);
    tensor = luaT_checkudata(L,1,torch_Tensor);
  }
  else
  {
    THError( torch_Tensor ", torch.ByteTensor, number expected");
    return 0;
  }

  THTensor_(maskedFill)(tensor,mask,val);

  return 1;
}
#endif

static int torch_Tensor_(transpose)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  int dimension1 = luaL_checkint(L, 2)-1;
  int dimension2 = luaL_checkint(L, 3)-1;

/*
  THArgCheck( (dimension1 >= 0) && (dimension1 < src->nDimension), 2, "out of range");
  THArgCheck( (dimension2 >= 0) && (dimension2 < src->nDimension), 3, "out of range");
*/

  tensor = THTensor_(newWithTensor)(tensor);
  THTensor_(transpose)(tensor, NULL, dimension1, dimension2);
  luaT_pushudata(L, tensor, torch_Tensor);
  return 1;
}

static int torch_Tensor_(t)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);

  THArgCheck(tensor->nDimension == 2, 1, "Tensor must have 2 dimensions");

  tensor = THTensor_(newWithTensor)(tensor);
  THTensor_(transpose)(tensor, NULL, 0, 1);
  luaT_pushudata(L, tensor, torch_Tensor);
  return 1;
}

static int torch_Tensor_(unfold)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  int dimension = luaL_checkint(L, 2)-1;
  long size = luaL_checklong(L, 3);
  long step = luaL_checklong(L, 4);

/*
  THArgCheck( (src->nDimension > 0), 1, "cannot unfold an empty tensor");
  THArgCheck(dimension < src->nDimension, 2, "out of range");
  THArgCheck(size <= src->size[dimension], 3, "out of range");
*/

  tensor = THTensor_(newWithTensor)(tensor);
  THTensor_(unfold)(tensor, NULL, dimension, size, step);
  luaT_pushudata(L, tensor, torch_Tensor);
  return 1;
}

/* is contiguous? [a bit like in TnXIterator] */
static int torch_Tensor_(isContiguous)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  lua_pushboolean(L, THTensor_(isContiguous)(tensor));
  return 1;
}

static int torch_Tensor_(isSize)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  THLongStorage *size = luaT_checkudata(L, 2, "torch.LongStorage");
  lua_pushboolean(L, THTensor_(isSize)(tensor, size));
  return 1;
}

static int torch_Tensor_(isSameSizeAs)(lua_State *L)
{
  THTensor *tensor1 = luaT_checkudata(L, 1, torch_Tensor);
  THTensor *tensor2 = luaT_checkudata(L, 2, torch_Tensor);
  lua_pushboolean(L, THTensor_(isSameSizeAs)(tensor1, tensor2));
  return 1;
}

static int torch_Tensor_(isSetTo)(lua_State *L)
{
  THTensor *tensor1 = luaT_checkudata(L, 1, torch_Tensor);
  THTensor *tensor2 = luaT_checkudata(L, 2, torch_Tensor);
  lua_pushboolean(L, THTensor_(isSetTo)(tensor1, tensor2));
  return 1;
}

static int torch_Tensor_(nElement)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  luaT_pushinteger(L, THTensor_(nElement)(tensor));
  return 1;
}

static int torch_Tensor_(copy)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  void *src;
  if( (src = luaT_toudata(L, 2, torch_Tensor)) )
    THTensor_(copy)(tensor, src);
  else if( (src = luaT_toudata(L, 2, "torch.ByteTensor")) )
    THTensor_(copyByte)(tensor, src);
  else if( (src = luaT_toudata(L, 2, "torch.CharTensor")) )
    THTensor_(copyChar)(tensor, src);
  else if( (src = luaT_toudata(L, 2, "torch.ShortTensor")) )
    THTensor_(copyShort)(tensor, src);
  else if( (src = luaT_toudata(L, 2, "torch.IntTensor")) )
    THTensor_(copyInt)(tensor, src);
  else if( (src = luaT_toudata(L, 2, "torch.LongTensor")) )
    THTensor_(copyLong)(tensor, src);
  else if( (src = luaT_toudata(L, 2, "torch.FloatTensor")) )
    THTensor_(copyFloat)(tensor, src);
  else if( (src = luaT_toudata(L, 2, "torch.DoubleTensor")) )
    THTensor_(copyDouble)(tensor, src);
  else if( (src = luaT_toudata(L, 2, "torch.HalfTensor")) )
    THTensor_(copyHalf)(tensor, src);
  else
    luaL_typerror(L, 2, "torch.*Tensor");
  lua_settop(L, 1);
  return 1;
}

static int torch_Tensor_(__newindex__)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  THLongStorage *idx = NULL;
  THByteTensor *mask;

  if(lua_isnumber(L, 2))
  {
    void *src;
    long index = luaL_checklong(L,2)-1;
    THArgCheck(tensor->nDimension > 0, 1, "empty tensor");
    if (index < 0) index = tensor->size[0] + index + 1;

    if (lua_isnumber(L,3)) {
      real value = luaG_(checkreal)(L,3);
      if (tensor->nDimension == 1) {
        THArgCheck(index >= 0 && index < tensor->size[0], 2, "out of range");
        THStorage_(set)(tensor->storage, tensor->storageOffset+index*tensor->stride[0], value);
      } else {
#ifndef TH_REAL_IS_HALF
        tensor = THTensor_(newWithTensor)(tensor);
        THTensor_(narrow)(tensor, NULL, 0, index, 1);
        THTensor_(fill)(tensor, value);
        THTensor_(free)(tensor);
#else
        THError("fill on torch.HalfTensor not yet supported");
#endif
      }
    } else if( (src = luaT_toudata(L, 3, torch_Tensor)) ) {
      tensor = THTensor_(newWithTensor)(tensor);
      THTensor_(narrow)(tensor, NULL, 0, index, 1);
      THTensor_(copy)(tensor, src);
      THTensor_(free)(tensor);
    } else if( (src = luaT_toudata(L, 3, "torch.ByteTensor")) ) {
      tensor = THTensor_(newWithTensor)(tensor);
      THTensor_(narrow)(tensor, NULL, 0, index, 1);
      THTensor_(copyByte)(tensor, src);
      THTensor_(free)(tensor);
    } else if( (src = luaT_toudata(L, 3, "torch.CharTensor")) ) {
      tensor = THTensor_(newWithTensor)(tensor);
      THTensor_(narrow)(tensor, NULL, 0, index, 1);
      THTensor_(copyChar)(tensor, src);
      THTensor_(free)(tensor);
    } else if( (src = luaT_toudata(L, 3, "torch.ShortTensor")) ) {
      tensor = THTensor_(newWithTensor)(tensor);
      THTensor_(narrow)(tensor, NULL, 0, index, 1);
      THTensor_(copyShort)(tensor, src);
      THTensor_(free)(tensor);
    } else if( (src = luaT_toudata(L, 3, "torch.IntTensor")) ) {
      tensor = THTensor_(newWithTensor)(tensor);
      THTensor_(narrow)(tensor, NULL, 0, index, 1);
      THTensor_(copyInt)(tensor, src);
      THTensor_(free)(tensor);
    } else if( (src = luaT_toudata(L, 3, "torch.LongTensor")) ) {
      tensor = THTensor_(newWithTensor)(tensor);
      THTensor_(narrow)(tensor, NULL, 0, index, 1);
      THTensor_(copyLong)(tensor, src);
      THTensor_(free)(tensor);
    } else if( (src = luaT_toudata(L, 3, "torch.FloatTensor")) ) {
      tensor = THTensor_(newWithTensor)(tensor);
      THTensor_(narrow)(tensor, NULL, 0, index, 1);
      THTensor_(copyFloat)(tensor, src);
      THTensor_(free)(tensor);
    } else if( (src = luaT_toudata(L, 3, "torch.DoubleTensor")) ) {
      tensor = THTensor_(newWithTensor)(tensor);
      THTensor_(narrow)(tensor, NULL, 0, index, 1);
      THTensor_(copyDouble)(tensor, src);
      THTensor_(free)(tensor);
    } else if( (src = luaT_toudata(L, 3, "torch.HalfTensor")) ) {
      tensor = THTensor_(newWithTensor)(tensor);
      THTensor_(narrow)(tensor, NULL, 0, index, 1);
      THTensor_(copyHalf)(tensor, src);
      THTensor_(free)(tensor);
    } else {
      luaL_typerror(L, 3, "torch.*Tensor");
    }
    lua_pushboolean(L, 1);
  }
  else if((idx = luaT_toudata(L, 2, "torch.LongStorage")))
  {
    ptrdiff_t index = THTensor_(storageOffset)(tensor);
    real value = luaG_(checkreal)(L,3);
    int dim;

    THArgCheck(idx->size == tensor->nDimension, 2, "invalid size");

    for(dim = 0; dim < idx->size; dim++)
    {
      long z = idx->data[dim]-1;
      if (z < 0) z = tensor->size[dim] + z + 1;
      THArgCheck((z >= 0) && (z < tensor->size[dim]), 2, "index out of bound");
      index += z*tensor->stride[dim];
    }

    THStorage_(set)(tensor->storage, index, value);
    lua_pushboolean(L, 1);
  }
  else if(lua_istable(L, 2))
  {
    int dim;
    int cdim = 0;
    int ndims;
    int done = 0;
    ndims = tensor->nDimension;
    THArgCheck(lua_objlen(L, 2) <= ndims, 2, "too many indices provided");
    tensor = THTensor_(newWithTensor)(tensor);
    for(dim = 0; dim < ndims; dim++)
    {
      lua_rawgeti(L, 2, dim+1);
      if(lua_isnumber(L, -1))
      {
        long z = lua_tonumber(L, -1)-1;
        lua_pop(L, 1);
        if (z < 0) z = tensor->size[cdim] + z + 1;
        THArgCheck((z >= 0) && (z < tensor->size[cdim]), 2, "index out of bound");
        if(tensor->nDimension == 1) {
          real value = luaG_(checkreal)(L,3);
          done = 1;
          THStorage_(set)(tensor->storage, tensor->storageOffset+z*tensor->stride[0], value);
        } else {
          THTensor_(select)(tensor, NULL, cdim, z);
        }
      }
      else if (lua_istable(L, -1))
      {
        long start = 0;
        long end = tensor->size[cdim]-1;
        lua_rawgeti(L, -1, 1);
        if(lua_isnumber(L, -1)) {
          start = lua_tonumber(L, -1)-1;
          end = start;
        }
        lua_pop(L, 1);
        if (start < 0) start = tensor->size[cdim] + start + 1;
        THArgCheck((start >= 0) && (start < tensor->size[cdim]), 2, "start index out of bound");

        lua_rawgeti(L, -1, 2);
        if(lua_isnumber(L, -1)) {
          end = lua_tonumber(L, -1)-1;
        }
        lua_pop(L, 2);
        if (end < 0) end = tensor->size[cdim] + end + 1;
        THArgCheck((end >= 0) && (end < tensor->size[cdim]), 2, "end index out of bound");

        THArgCheck((end >= start), 2, "end index must be greater or equal to start index");

        THTensor_(narrow)(tensor, NULL, cdim++, start, end-start+1);
      }
      else
      {
        break;
      }
    }
    if(!done) {
      /* doing a copy */
      void *src;
      if (lua_isnumber(L,3)) {
#ifndef TH_REAL_IS_HALF
        THTensor_(fill)(tensor, LUA_NUMBER_TO_REAL(lua_tonumber(L,3)));
#else
        THError("fill on torch.HalfTensor not yet supported");
#endif
      } else if( (src = luaT_toudata(L, 3, torch_Tensor)) ) {
        THTensor_(copy)(tensor, src);
      } else if( (src = luaT_toudata(L, 3, "torch.ByteTensor")) ) {
        THTensor_(copyByte)(tensor, src);
      } else if( (src = luaT_toudata(L, 3, "torch.CharTensor")) ) {
        THTensor_(copyChar)(tensor, src);
      } else if( (src = luaT_toudata(L, 3, "torch.ShortTensor")) ) {
        THTensor_(copyShort)(tensor, src);
      } else if( (src = luaT_toudata(L, 3, "torch.IntTensor")) ) {
        THTensor_(copyInt)(tensor, src);
      } else if( (src = luaT_toudata(L, 3, "torch.LongTensor")) ) {
        THTensor_(copyLong)(tensor, src);
      } else if( (src = luaT_toudata(L, 3, "torch.FloatTensor")) ) {
        THTensor_(copyFloat)(tensor, src);
      } else if( (src = luaT_toudata(L, 3, "torch.DoubleTensor")) ) {
        THTensor_(copyDouble)(tensor, src);
      } else if( (src = luaT_toudata(L, 3, "torch.HalfTensor")) ) {
        THTensor_(copyHalf)(tensor, src);
      } else {
        luaL_typerror(L, 3, "torch.*Tensor");
      }
    }
    THTensor_(free)(tensor);
    lua_pushboolean(L, 1);
  }
  else if((mask = luaT_toudata(L, 2, "torch.ByteTensor")))
  {
#ifndef TH_REAL_IS_HALF
    THTensor *vals;
    if (lua_isnumber(L, 3))
    {
      THTensor_(maskedFill)(tensor, mask, luaG_(checkreal)(L,3));
    }
    else if((vals = luaT_toudata(L, 3, torch_Tensor)))
    {
      THTensor_(maskedCopy)(tensor, mask, vals);
    }
    else
    {
      THError("number or " torch_Tensor " expected");
    }
#else
    THError("ByteTensor indexing not yet supported with half types");
#endif
  }
  else
    lua_pushboolean(L, 0);

  return 1;
}

static int torch_Tensor_(__index__)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  THLongStorage *idx = NULL;
  THByteTensor *mask;

  if(lua_isnumber(L, 2))
  {
    long index = luaL_checklong(L,2)-1;

    THArgCheck(tensor->nDimension > 0, 1, "empty tensor");
    if (index < 0) index = tensor->size[0] + index + 1;
    THArgCheck(index >= 0 && index < tensor->size[0], 2, "out of range");

    if(tensor->nDimension == 1)
    {
      luaG_(pushreal)(L, THStorage_(get)(tensor->storage, tensor->storageOffset+index*tensor->stride[0]));
    }
    else
    {
      tensor = THTensor_(newWithTensor)(tensor);
      THTensor_(select)(tensor, NULL, 0, index);
      luaT_pushudata(L, tensor, torch_Tensor);
    }
    lua_pushboolean(L, 1);
    return 2;
  }
  else if((idx = luaT_toudata(L, 2, "torch.LongStorage")))
  {
    ptrdiff_t index = THTensor_(storageOffset)(tensor);
    int dim;

    THArgCheck(idx->size == tensor->nDimension, 2, "invalid size");

    for(dim = 0; dim < idx->size; dim++)
    {
      long z = idx->data[dim]-1;
      if (z < 0) z = tensor->size[dim] + z + 1;
      THArgCheck((z >= 0) && (z < tensor->size[dim]), 2, "index out of bound");
      index += z*tensor->stride[dim];
    }
    luaG_(pushreal)(L, THStorage_(get)(THTensor_(storage)(tensor), index));
    lua_pushboolean(L, 1);
    return 2;
  }
  else if(lua_istable(L, 2))
  {
    int dim;
    int cdim = 0;
    int ndims;
    int done = 0;

    ndims = tensor->nDimension;
    THArgCheck(lua_objlen(L, 2) <= ndims, 2, "too many indices provided");
    tensor = THTensor_(newWithTensor)(tensor);

    for(dim = 0; dim < ndims; dim++)
    {
      lua_rawgeti(L, 2, dim+1);
      if(lua_isnumber(L, -1))
      {
        long z = lua_tonumber(L, -1)-1;
        lua_pop(L, 1);
        if (z < 0) z = tensor->size[cdim] + z + 1;
        THArgCheck((z >= 0) && (z < tensor->size[cdim]), 2, "index out of bound");
        if(tensor->nDimension == 1) {
          done = 1;
          luaG_(pushreal)(L, THStorage_(get)(tensor->storage, tensor->storageOffset+z*tensor->stride[0]));
        } else {
          THTensor_(select)(tensor, NULL, cdim, z);
        }
      }
      else if (lua_istable(L, -1))
      {
        long start = 0;
        long end = tensor->size[cdim]-1;
        lua_rawgeti(L, -1, 1);
        if(lua_isnumber(L, -1)) {
          start = lua_tonumber(L, -1)-1;
          end = start;
        }
        lua_pop(L, 1);
        if (start < 0) start = tensor->size[cdim] + start + 1;
        THArgCheck((start >= 0) && (start < tensor->size[cdim]), 2, "start index out of bound");

        lua_rawgeti(L, -1, 2);
        if(lua_isnumber(L, -1)) {
          end = lua_tonumber(L, -1)-1;
        }
        lua_pop(L, 2);
        if (end < 0) end = tensor->size[cdim] + end + 1;
        THArgCheck((end >= 0) && (end < tensor->size[cdim]), 2, "end index out of bound");

        THArgCheck((end >= start), 2, "end index must be greater or equal to start index");

        THTensor_(narrow)(tensor, NULL, cdim++, start, end-start+1);
      }
      else
      {
        break;
      }
    }
    if(!done) {
      luaT_pushudata(L, tensor, torch_Tensor);
    } else {
      THTensor_(free)(tensor);
    }
    lua_pushboolean(L, 1);
    return 2;
  }
  else if((mask = luaT_toudata(L, 2, "torch.ByteTensor")))
  {
#ifndef TH_REAL_IS_HALF
    THTensor *vals = THTensor_(new)();
    THTensor_(maskedSelect)(vals, tensor, mask);
    luaT_pushudata(L, vals, torch_Tensor);
    lua_pushboolean(L, 1);
    return 2;
#else
    THError("ByteTensor based indexing not yetsupported with half type");
    return 0;
#endif
  }
  else
  {
    lua_pushboolean(L, 0);
    return 1;
  }
}

static int torch_Tensor_(retain)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  THTensor_(retain)(tensor);
  return 0;
}

static int torch_Tensor_(free)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  THTensor_(free)(tensor);
  return 0;
}

/* helpful functions */
static void torch_Tensor_(c_readSizeStride)(lua_State *L, int index, int allowStride, THLongStorage **size_, THLongStorage **stride_)
{
  THLongStorage *size = NULL;
  THLongStorage *stride = NULL;

  if( (size = luaT_toudata(L, index, "torch.LongStorage")) )
  {
    if(!lua_isnoneornil(L, index+1))
    {
      if( (stride = luaT_toudata(L, index+1, "torch.LongStorage")) )
        THArgCheck(stride->size == size->size, index+1, "provided stride and size are inconsistent");
      else
        THArgCheck(0, index+1, "torch.LongStorage expected");
    }
    THLongStorage_retain(size);
    if(stride)
      THLongStorage_retain(stride);
  }
  else
  {
    int i;

    size = THLongStorage_newWithSize(8);
    stride = THLongStorage_newWithSize(8);
    THLongStorage_fill(size, -1);
    THLongStorage_fill(stride, -1);

    if(allowStride)
    {
      for(i = 0; i < 8; i++)
      {
        if(lua_isnone(L, index+2*i))
          break;
        size->data[i] = luaL_checklong(L, index+2*i);

        if(lua_isnone(L, index+2*i+1))
          break;
        stride->data[i] = luaL_checklong(L, index+2*i+1);
      }
    }
    else
    {
      for(i = 0; i < 8; i++)
      {
        if(lua_isnone(L, index+i))
          break;
        size->data[i] = luaL_checklong(L, index+i);
      }
    }
  }

  *size_ = size;
  *stride_ = stride;
}

static void torch_Tensor_(c_readTensorStorageSizeStride)(lua_State *L, int index, int allowNone, int allowTensor, int allowStorage, int allowStride,
                                                         THStorage **storage_, ptrdiff_t *storageOffset_, THLongStorage **size_, THLongStorage **stride_)
{
  THTensor *src = NULL;
  THStorage *storage = NULL;

  int arg1Type = lua_type(L, index);

  if( allowNone && (arg1Type == LUA_TNONE) )
  {
    *storage_ = NULL;
    *storageOffset_ = 0;
    *size_ = NULL;
    *stride_ = NULL;
    return;
  }
  else if( allowTensor && (arg1Type == LUA_TUSERDATA) && (src = luaT_toudata(L, index, torch_Tensor)) )
  {
    *storage_ = src->storage;
    *storageOffset_ = src->storageOffset;
    *size_ = THTensor_(newSizeOf)(src);
    *stride_ = THTensor_(newStrideOf)(src);
    return;
  }
  else if( allowStorage && (arg1Type == LUA_TUSERDATA) && (storage = luaT_toudata(L, index, torch_Storage)) )
  {
    *storage_ = storage;
    if(lua_isnone(L, index+1))
    {
      *storageOffset_ = 0;
      *size_ = THLongStorage_newWithSize1(storage->size);
      *stride_ = THLongStorage_newWithSize1(1);
    }
    else
    {
      *storageOffset_ = luaL_checkinteger(L, index+1)-1;
      torch_Tensor_(c_readSizeStride)(L, index+2, allowStride, size_, stride_);
    }
    return;
  }
  else if( (arg1Type == LUA_TNUMBER) || (luaT_toudata(L, index, "torch.LongStorage")) )
  {
    *storage_ = NULL;
    *storageOffset_ = 0;
    torch_Tensor_(c_readSizeStride)(L, index, 0, size_, stride_);

    return;
  }

  *storage_ = NULL;
  *storageOffset_ = 0;
  if(allowTensor && allowStorage)
      THArgCheck(0, index, "expecting number or " torch_Tensor " or " torch_Storage );
  else if(allowTensor)
      THArgCheck(0, index, "expecting number or " torch_Tensor );
  else if(allowStorage)
      THArgCheck(0, index, "expecting number or " torch_Storage );
  else
      THArgCheck(0, index, "expecting number");
}

#ifndef TH_REAL_IS_HALF
static int torch_Tensor_(apply)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  luaL_checktype(L, 2, LUA_TFUNCTION);
  lua_settop(L, 2);

  TH_TENSOR_APPLY(real, tensor,
                  lua_pushvalue(L, 2);
                  luaG_(pushreal)(L, *tensor_data);
                  lua_call(L, 1, 1);
                  if(lua_isnumber(L, 3))
                  {
                    *tensor_data = luaG_(checkreal)(L, 3);
                    lua_pop(L, 1);
                  }
                  else if(lua_isnil(L, 3))
                    lua_pop(L, 1);
                  else
                    THError("given function should return a number or nil"););

  lua_settop(L, 1);
  return 1;
}

static int torch_Tensor_(map)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  THTensor *src = luaT_checkudata(L, 2, torch_Tensor);
  luaL_checktype(L, 3, LUA_TFUNCTION);
  lua_settop(L, 3);

  TH_TENSOR_APPLY2(real, tensor, real, src,
                  lua_pushvalue(L, 3);
                  luaG_(pushreal)(L, *tensor_data);
                  luaG_(pushreal)(L, *src_data);
                  lua_call(L, 2, 1);
                  if(lua_isnumber(L, 4))
                  {
                    *tensor_data = luaG_(checkreal)(L, 4);
                    lua_pop(L, 1);
                  }
                  else if(lua_isnil(L, 4))
                    lua_pop(L, 1);
                  else
                    THError("given function should return a number or nil"););

  lua_settop(L, 1);
  return 1;
}

static int torch_Tensor_(map2)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  THTensor *src1 = luaT_checkudata(L, 2, torch_Tensor);
  THTensor *src2 = luaT_checkudata(L, 3, torch_Tensor);
  luaL_checktype(L, 4, LUA_TFUNCTION);
  lua_settop(L, 4);

  TH_TENSOR_APPLY3(real, tensor, real, src1, real, src2,
                  lua_pushvalue(L, 4);
                  luaG_(pushreal)(L, *tensor_data);
                  luaG_(pushreal)(L, *src1_data);
                  luaG_(pushreal)(L, *src2_data);
                  lua_call(L, 3, 1);
                  if(lua_isnumber(L, 5))
                  {
                    *tensor_data = luaG_(checkreal)(L, 5);
                    lua_pop(L, 1);
                  }
                  else if(lua_isnil(L, 5))
                    lua_pop(L, 1);
                  else
                    THError("given function should return a number or nil"););

  lua_settop(L, 1);
  return 1;
}
#endif

static int torch_Tensor_(factory)(lua_State *L)
{
  THTensor *tensor = THTensor_(new)();
  luaT_pushudata(L, tensor, torch_Tensor);
  return 1;
}

static int torch_Tensor_(write)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  THFile *file = luaT_checkudata(L, 2, "torch.File");

  THFile_writeIntScalar(file, tensor->nDimension);
  THFile_writeLongRaw(file, tensor->size, tensor->nDimension);
  THFile_writeLongRaw(file, tensor->stride, tensor->nDimension);
  THFile_writeLongScalar(file, tensor->storageOffset+1); /* to respect Lua convention */

  lua_getfield(L, 2, "writeObject"); /* the method */
  lua_pushvalue(L, 2); /* the file */
  /* the storage */
  if(tensor->storage)
  {
    THStorage_(retain)(tensor->storage);
    luaT_pushudata(L, tensor->storage, torch_Storage);
  }
  else
    lua_pushnil(L);

  lua_call(L, 2, 0); /* call the method */

  return 0;
}

static int torch_Tensor_(read)(lua_State *L)
{
  THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
  THFile *file = luaT_checkudata(L, 2, "torch.File");

  tensor->nDimension = THFile_readIntScalar(file);
  tensor->size = THAlloc(sizeof(long)*tensor->nDimension);
  tensor->stride = THAlloc(sizeof(long)*tensor->nDimension);
  THFile_readLongRaw(file, tensor->size, tensor->nDimension);
  THFile_readLongRaw(file, tensor->stride, tensor->nDimension);
  tensor->storageOffset = THFile_readLongScalar(file);
  tensor->storageOffset--;  /* to respect Lua convention */

  lua_getfield(L, 2, "readObject"); /* the method */
  lua_pushvalue(L, 2); /* the file */
  lua_call(L, 1, 1); /* call the method */

  tensor->storage = luaT_toudata(L, -1, torch_Storage);
  if(tensor->storage)
    THStorage_(retain)(tensor->storage);

  return 0;
}

static const struct luaL_Reg torch_Tensor_(_) [] = {
  {"retain", torch_Tensor_(retain)},
  {"free", torch_Tensor_(free)},
  {"contiguous", torch_Tensor_(contiguous)},
  {"size", torch_Tensor_(size)},
  {"elementSize", torch_Tensor_(elementSize)},
  {"__len__", torch_Tensor_(size)},
  {"stride", torch_Tensor_(stride)},
  {"dim", torch_Tensor_(nDimension)},
  {"nDimension", torch_Tensor_(nDimension)},
  {"set", torch_Tensor_(set)},
  {"storage", torch_Tensor_(storage)},
  {"storageOffset", torch_Tensor_(storageOffset)},
  {"clone", torch_Tensor_(clone)},
  {"contiguous", torch_Tensor_(contiguous)},
  {"resizeAs", torch_Tensor_(resizeAs)},
  {"resize", torch_Tensor_(resize)},
  {"narrow", torch_Tensor_(narrow)},
  {"sub", torch_Tensor_(sub)},
  {"select", torch_Tensor_(select)},
#ifndef TH_REAL_IS_HALF
  {"index", torch_Tensor_(indexSelect)},
  {"indexCopy", torch_Tensor_(indexCopy)},
  {"indexAdd", torch_Tensor_(indexAdd)},
  {"indexFill", torch_Tensor_(indexFill)},
  {"maskedSelect", torch_Tensor_(maskedSelect)},
  {"maskedCopy", torch_Tensor_(maskedCopy)},
  {"maskedFill", torch_Tensor_(maskedFill)},
#endif
  {"transpose", torch_Tensor_(transpose)},
  {"t", torch_Tensor_(t)},
  {"unfold", torch_Tensor_(unfold)},
  {"isContiguous", torch_Tensor_(isContiguous)},
  {"isSameSizeAs", torch_Tensor_(isSameSizeAs)},
  {"isSetTo", torch_Tensor_(isSetTo)},
  {"isSize", torch_Tensor_(isSize)},
  {"nElement", torch_Tensor_(nElement)},
  {"copy", torch_Tensor_(copy)},
#ifndef TH_REAL_IS_HALF
  {"apply", torch_Tensor_(apply)},
  {"map", torch_Tensor_(map)},
  {"map2", torch_Tensor_(map2)},
#endif
  {"read", torch_Tensor_(read)},
  {"write", torch_Tensor_(write)},
  {"__index__", torch_Tensor_(__index__)},
  {"__newindex__", torch_Tensor_(__newindex__)},
  {NULL, NULL}
};

void torch_Tensor_(init)(lua_State *L)
{
  luaT_newmetatable(L, torch_Tensor, NULL,
                    torch_Tensor_(new), torch_Tensor_(free), torch_Tensor_(factory));
  luaT_setfuncs(L, torch_Tensor_(_), 0);
  lua_pop(L, 1);
#ifndef TH_REAL_IS_HALF
  THVector_(vectorDispatchInit)();
#endif
}

#endif