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#include "caffe2/operators/expand_squeeze_dims_op.h"
#include <caffe2/ideep/ideep_utils.h>
#include <caffe2/ideep/operators/operator_fallback_ideep.h>
using namespace caffe2;
namespace {
class IDEEPExpandDimsOp final : public IDEEPOperator {
public:
USE_IDEEP_DEF_ALIASES();
USE_IDEEP_OPERATOR_FUNCTIONS();
using FALLBACK_OP = IDEEPFallbackOp<ExpandDimsOp<CPUContext>, SkipIndices<0>>;
IDEEPExpandDimsOp(const OperatorDef& operator_def, Workspace* ws)
: IDEEPOperator(operator_def, ws),
fallback_(operator_def, ws) {
dims_ = OperatorBase::GetRepeatedArgument<int>("dims");
auto originalSize = dims_.size();
CAFFE_ENFORCE_GT(originalSize, 0, "Parameter `dims` must be provided.");
std::sort(dims_.begin(), dims_.end());
dims_.erase(std::unique(dims_.begin(), dims_.end()), dims_.end());
if (dims_.size() < originalSize) {
LOG(WARNING) << "Parameter `dims` has repeated dimensions.";
}
CAFFE_ENFORCE_GE(dims_.front(), 0, "Dimension ids must be non-negative.");
}
// NOLINTNEXTLINE(modernize-use-equals-default)
~IDEEPExpandDimsOp() override {}
bool RunOnDevice() override {
if (!OperatorBase::InputBlob(INPUT).template IsType<itensor>()) {
return fallback_.Run(0);
}
const auto& X = Input(INPUT);
auto* Y = Output(OUTPUT);
if (&X != Y) {
// Copy if not inplace
ideep::direct_copy::compute(X, *Y);
}
if (dims_.empty()) {
return true;
}
auto newDims = X.get_dims();
CAFFE_ENFORCE_GE(
newDims.size() + dims_.size(),
dims_.back() + 1,
"Input needs at least ",
(1 + dims_.back() - dims_.size()),
" dimensions given `dims`.");
for (const auto dim : dims_) {
newDims.insert(newDims.begin() + dim, 1);
}
Y->reshape(newDims);
return true;
}
private:
std::vector<int> dims_;
FALLBACK_OP fallback_;
INPUT_TAGS(INPUT);
OUTPUT_TAGS(OUTPUT);
};
class IDEEPSqueezeOp final : public IDEEPOperator {
public:
USE_IDEEP_DEF_ALIASES();
USE_IDEEP_OPERATOR_FUNCTIONS();
using FALLBACK_OP = IDEEPFallbackOp<SqueezeOp<CPUContext>, SkipIndices<0>>;
IDEEPSqueezeOp(const OperatorDef& operator_def, Workspace* ws)
: IDEEPOperator(operator_def, ws),
fallback_(operator_def, ws) {
dims_ = OperatorBase::GetRepeatedArgument<int>("dims");
auto originalSize = dims_.size();
CAFFE_ENFORCE_GT(originalSize, 0, "Parameter `dims` must be provided.");
std::sort(dims_.begin(), dims_.end());
dims_.erase(std::unique(dims_.begin(), dims_.end()), dims_.end());
if (dims_.size() < originalSize) {
LOG(WARNING) << "Parameter `dims` has repeated dimensions.";
}
CAFFE_ENFORCE_GE(dims_.front(), 0, "Dimension ids must be non-negative.");
}
// NOLINTNEXTLINE(modernize-use-equals-default)
~IDEEPSqueezeOp() override {}
bool RunOnDevice() override {
if (!OperatorBase::InputBlob(INPUT).template IsType<itensor>()) {
return fallback_.Run(0);
}
const auto& X = Input(INPUT);
auto* Y = Output(OUTPUT);
CAFFE_ENFORCE_GT(
X.ndims(),
dims_.back(),
"Input needs at least ",
(dims_.back() + 1),
" dimensions.");
const auto& ideep_dims = X.get_dims();
std::vector<int64_t> dims(ideep_dims.begin(), ideep_dims.end());
const auto new_dims = SqueezeOp<IDEEPContext>::ComputeDims(dims, dims_);
itensor::dims new_dims_ideep(new_dims.begin(), new_dims.end());
if (&X != Y) {
// Copy if not inplace
ideep::direct_copy::compute(X, *Y);
}
Y->reshape(new_dims_ideep);
return true;
}
private:
std::vector<int> dims_;
FALLBACK_OP fallback_;
INPUT_TAGS(INPUT);
OUTPUT_TAGS(OUTPUT);
};
REGISTER_IDEEP_OPERATOR(ExpandDims, IDEEPExpandDimsOp);
REGISTER_IDEEP_OPERATOR(Squeeze, IDEEPSqueezeOp);
} // namespace
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