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#include "caffe2/core/tensor.h"
#include "caffe2/core/workspace.h"
#include "test_utils.h"
namespace {
template <typename T>
void assertTensorEqualsWithType(
const caffe2::TensorCPU& tensor1,
const caffe2::TensorCPU& tensor2,
float /* unused */) {
CAFFE_ENFORCE_EQ(tensor1.sizes(), tensor2.sizes());
for (auto idx = 0; idx < tensor1.numel(); ++idx) {
CAFFE_ENFORCE_EQ(
tensor1.data<T>()[idx],
tensor2.data<T>()[idx],
"Mismatch at index ",
idx);
}
}
template <>
void assertTensorEqualsWithType<float>(
const caffe2::TensorCPU& tensor1,
const caffe2::TensorCPU& tensor2,
float eps) {
CAFFE_ENFORCE_EQ(tensor1.sizes(), tensor2.sizes());
for (auto idx = 0; idx < tensor1.numel(); ++idx) {
// When a == b, a - b may not be equal to 0
if (tensor1.data<float>()[idx] != tensor2.data<float>()[idx]) {
CAFFE_ENFORCE_LT(
fabs(tensor1.data<float>()[idx] - tensor2.data<float>()[idx]),
eps,
"Mismatch at index ",
idx,
" exceeds threshold of ",
eps);
}
}
}
} // namespace
namespace caffe2 {
namespace testing {
// Asserts that two float values are close within epsilon.
void assertNear(float value1, float value2, float epsilon) {
// These two enforces will give good debug messages.
CAFFE_ENFORCE_LE(value1, value2 + epsilon);
CAFFE_ENFORCE_GE(value1, value2 - epsilon);
}
void assertTensorEquals(
const TensorCPU& tensor1,
const TensorCPU& tensor2,
float eps) {
CAFFE_ENFORCE_EQ(tensor1.sizes(), tensor2.sizes());
if (tensor1.IsType<float>()) {
CAFFE_ENFORCE(tensor2.IsType<float>());
assertTensorEqualsWithType<float>(tensor1, tensor2, eps);
} else if (tensor1.IsType<int>()) {
CAFFE_ENFORCE(tensor2.IsType<int>());
assertTensorEqualsWithType<int>(tensor1, tensor2, eps);
} else if (tensor1.IsType<int64_t>()) {
CAFFE_ENFORCE(tensor2.IsType<int64_t>());
assertTensorEqualsWithType<int64_t>(tensor1, tensor2, eps);
}
// Add more types if needed.
}
void assertTensorListEquals(
const std::vector<std::string>& tensorNames,
const Workspace& workspace1,
const Workspace& workspace2) {
for (const std::string& tensorName : tensorNames) {
CAFFE_ENFORCE(workspace1.HasBlob(tensorName));
CAFFE_ENFORCE(workspace2.HasBlob(tensorName));
auto& tensor1 = getTensor(workspace1, tensorName);
auto& tensor2 = getTensor(workspace2, tensorName);
assertTensorEquals(tensor1, tensor2);
}
}
const caffe2::Tensor& getTensor(
const caffe2::Workspace& workspace,
const std::string& name) {
CAFFE_ENFORCE(workspace.HasBlob(name));
return workspace.GetBlob(name)->Get<caffe2::Tensor>();
}
caffe2::Tensor* createTensor(
const std::string& name,
caffe2::Workspace* workspace) {
return BlobGetMutableTensor(workspace->CreateBlob(name), caffe2::CPU);
}
caffe2::OperatorDef* createOperator(
const std::string& type,
const std::vector<std::string>& inputs,
const std::vector<std::string>& outputs,
caffe2::NetDef* net) {
auto* op = net->add_op();
op->set_type(type);
for (const auto& in : inputs) {
op->add_input(in);
}
for (const auto& out : outputs) {
op->add_output(out);
}
return op;
}
NetMutator& NetMutator::newOp(
const std::string& type,
const std::vector<std::string>& inputs,
const std::vector<std::string>& outputs) {
lastCreatedOp_ = createOperator(type, inputs, outputs, net_);
return *this;
}
NetMutator& NetMutator::externalInputs(
const std::vector<std::string>& externalInputs) {
for (auto& blob : externalInputs) {
net_->add_external_input(blob);
}
return *this;
}
NetMutator& NetMutator::externalOutputs(
const std::vector<std::string>& externalOutputs) {
for (auto& blob : externalOutputs) {
net_->add_external_output(blob);
}
return *this;
}
NetMutator& NetMutator::setDeviceOptionName(const std::string& name) {
CAFFE_ENFORCE(lastCreatedOp_ != nullptr);
lastCreatedOp_->mutable_device_option()->set_node_name(name);
return *this;
}
} // namespace testing
} // namespace caffe2
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