95 lines
3.4 KiB
C++
95 lines
3.4 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
#pragma once
|
|
|
|
#include "paddle/common/errors.h"
|
|
#include "paddle/phi/core/enforce.h"
|
|
namespace phi {
|
|
namespace funcs {
|
|
|
|
static inline int64_t ComputeAxis(int64_t axis, int64_t rank) {
|
|
PADDLE_ENFORCE_EQ(
|
|
axis >= -rank && axis < rank,
|
|
true,
|
|
common::errors::InvalidArgument(
|
|
"The axis is expected to be in range of [%d, %d), but got %d",
|
|
-rank,
|
|
rank,
|
|
axis));
|
|
if (axis < 0) {
|
|
axis = axis + rank;
|
|
}
|
|
return axis > 0 ? axis : 0;
|
|
}
|
|
|
|
static inline DDim ComputeAndCheckShape(bool is_runtime,
|
|
const std::vector<DDim>& inputs_dims,
|
|
const size_t axis) {
|
|
const size_t n = inputs_dims.size();
|
|
auto out_dims = inputs_dims[0];
|
|
size_t in_zero_dims_size = out_dims.size();
|
|
for (size_t i = 1; i < n; i++) {
|
|
PADDLE_ENFORCE_EQ(
|
|
inputs_dims[i].size(),
|
|
out_dims.size(),
|
|
common::errors::InvalidArgument("The shape of input[0] and input[%d] "
|
|
"is expected to be equal."
|
|
"But received input[0]'s shape = "
|
|
"[%s], input[%d]'s shape = [%s].",
|
|
i,
|
|
inputs_dims[0],
|
|
i,
|
|
inputs_dims[i]));
|
|
for (size_t j = 0; j < in_zero_dims_size; j++) {
|
|
if (j == axis) {
|
|
if (is_runtime) {
|
|
out_dims[axis] += inputs_dims[i][j];
|
|
} else {
|
|
if (inputs_dims[i][j] == -1 || out_dims[j] == -1) {
|
|
out_dims[axis] = -1;
|
|
} else {
|
|
out_dims[axis] += inputs_dims[i][j];
|
|
}
|
|
}
|
|
} else {
|
|
bool check_shape =
|
|
is_runtime || (inputs_dims[0][j] > 0 && inputs_dims[i][j] > 0);
|
|
if (check_shape) {
|
|
// check all shape in run time
|
|
PADDLE_ENFORCE_EQ(inputs_dims[0][j],
|
|
inputs_dims[i][j],
|
|
common::errors::InvalidArgument(
|
|
"The %d-th dimension of input[0] and input[%d] "
|
|
"is expected to be equal."
|
|
"But received input[0]'s shape = "
|
|
"[%s], input[%d]'s shape = [%s].",
|
|
j,
|
|
i,
|
|
inputs_dims[0],
|
|
i,
|
|
inputs_dims[i]));
|
|
}
|
|
if (!is_runtime && out_dims[j] == -1 && inputs_dims[i][j] > 0) {
|
|
out_dims[j] = inputs_dims[i][j];
|
|
}
|
|
}
|
|
}
|
|
}
|
|
return out_dims;
|
|
}
|
|
|
|
} // namespace funcs
|
|
} // namespace phi
|