blob: 4f245c9b0fd0e395c33d0f359c8ac8d41530b74a [file] [log] [blame]
#include "caffe2/utils/math_utils.h"
#include <algorithm>
#include <vector>
#include "caffe2/core/logging.h"
namespace caffe2 {
namespace math {
namespace utils {
void IncreaseIndexInDims(const int n, const int* dims, int* index) {
for (int i = n - 1; i >= 0; --i) {
++index[i];
if (index[i] >= dims[i]) {
index[i] -= dims[i];
} else {
break;
}
}
}
int GetIndexFromDims(const int n, const int* dims, const int* index) {
int sum = 0;
for (int i = 0; i < n; ++i) {
if (dims[i] > 1) {
sum = sum * dims[i] + index[i];
}
}
return sum;
}
void ComputeBroadcastBinaryOpDims(
const int A_ndim,
const int* A_dims,
const int B_ndim,
const int* B_dims,
int* A_broadcast_dims,
int* B_broadcast_dims,
int* C_broadcast_dims) {
const int ndim = std::max(A_ndim, B_ndim);
std::fill(A_broadcast_dims, A_broadcast_dims + ndim - A_ndim, 1);
std::fill(B_broadcast_dims, B_broadcast_dims + ndim - B_ndim, 1);
std::copy(A_dims, A_dims + A_ndim, A_broadcast_dims + ndim - A_ndim);
std::copy(B_dims, B_dims + B_ndim, B_broadcast_dims + ndim - B_ndim);
for (int i = 0; i < ndim; ++i) {
CAFFE_ENFORCE(
A_broadcast_dims[i] == B_broadcast_dims[i] ||
A_broadcast_dims[i] <= 1 || B_broadcast_dims[i] <= 1);
if (A_broadcast_dims[i] == 0 || B_broadcast_dims[i] == 0) {
C_broadcast_dims[i] = 0;
} else {
C_broadcast_dims[i] = std::max(A_broadcast_dims[i], B_broadcast_dims[i]);
}
}
}
bool IsRowwiseBroadcastBinaryOp(
const int ndim,
const int* A_dims,
const int* B_dims,
int* pivot,
bool* broadcast_1st) {
if (ndim == 0) {
return false;
}
int A_pivot = 0;
for (; A_pivot < ndim && A_dims[A_pivot] == 1; ++A_pivot)
;
int B_pivot = 0;
for (; B_pivot < ndim && B_dims[B_pivot] == 1; ++B_pivot)
;
if (A_pivot == B_pivot) {
return false;
}
*pivot = std::max(A_pivot, B_pivot);
*broadcast_1st = A_pivot > B_pivot;
return std::equal(A_dims + *pivot, A_dims + ndim, B_dims + *pivot);
}
bool IsColwiseBroadcastBinaryOp(
const int ndim,
const int* A_dims,
const int* B_dims,
int* pivot,
bool* broadcast_1st) {
if (ndim == 0) {
return false;
}
int A_pivot = ndim - 1;
for (; A_pivot >= 0 && A_dims[A_pivot] == 1; --A_pivot)
;
int B_pivot = ndim - 1;
for (; B_pivot >= 0 && B_dims[B_pivot] == 1; --B_pivot)
;
if (A_pivot == B_pivot) {
return false;
}
*pivot = std::min(A_pivot, B_pivot) + 1;
*broadcast_1st = A_pivot < B_pivot;
return std::equal(A_dims, A_dims + *pivot, B_dims);
}
void ComputeTransposeAxesForReduceOp(
const int num_dims,
const int num_reduce_axes,
const int* reduce_axes,
int* transpose_axes) {
const int d = num_dims - num_reduce_axes;
std::copy_n(reduce_axes, num_reduce_axes, transpose_axes + d);
std::sort(transpose_axes + d, transpose_axes + num_dims);
int p = 0;
int q = d;
for (int i = 0; i < num_dims; ++i) {
if (q < num_dims && i == transpose_axes[q]) {
++q;
} else {
transpose_axes[p++] = i;
}
}
}
void ComputeTransposedStrides(
const int ndim,
const int* dims,
const int* axes,
int* strides) {
std::vector<int> buff(ndim);
int cur_stride = 1;
for (int i = ndim - 1; i >= 0; --i) {
buff[i] = cur_stride;
cur_stride *= dims[i];
}
for (int i = 0; i < ndim; ++i) {
strides[i] = buff[axes[i]];
}
}
} // namespace utils
} // namespace math
} // namespace caffe2