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// See docs in ../ops/parsing_ops.cc.
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/lib/core/errors.h"
#include "tensorflow/core/lib/strings/numbers.h"
#include "tensorflow/core/public/tensor.h"
#include "tensorflow/core/public/tensor_shape.h"
namespace tensorflow {
class DecodeCSVOp : public OpKernel {
public:
explicit DecodeCSVOp(OpKernelConstruction* ctx) : OpKernel(ctx) {
string delim;
OP_REQUIRES_OK(ctx, ctx->GetAttr("OUT_TYPE", &out_type_));
OP_REQUIRES_OK(ctx, ctx->GetAttr("field_delim", &delim));
OP_REQUIRES(ctx, delim.size() == 1,
errors::InvalidArgument("field_delim should be only 1 char"));
delim_ = delim[0];
}
void Compute(OpKernelContext* ctx) override {
const Tensor* records;
OpInputList record_defaults;
OP_REQUIRES_OK(ctx, ctx->input("records", &records));
OP_REQUIRES_OK(ctx, ctx->input_list("record_defaults", &record_defaults));
for (int i = 0; i < record_defaults.size(); ++i) {
OP_REQUIRES(ctx, record_defaults[i].NumElements() < 2,
errors::InvalidArgument(
"There should only be 1 default per field but field ", i,
" has ", record_defaults[i].NumElements()));
}
auto records_t = records->flat<string>();
int records_size = records_t.size();
OpOutputList output;
OP_REQUIRES_OK(ctx, ctx->output_list("output", &output));
for (size_t i = 0; i < out_type_.size(); ++i) {
Tensor* out = nullptr;
output.allocate(i, records->shape(), &out);
}
for (int i = 0; i < records_size; ++i) {
const StringPiece record(records_t(i));
std::vector<string> fields;
ExtractFields(ctx, record, &fields);
OP_REQUIRES(ctx, fields.size() == out_type_.size(),
errors::InvalidArgument("Expect ", out_type_.size(),
" fields but have ", fields.size(),
" in record ", i));
// Check each field in the record
for (size_t f = 0; f < out_type_.size(); ++f) {
const DataType& dtype = out_type_[f];
switch (dtype) {
case DT_INT32: {
// If this field is empty, check if default is given:
// If yes, use default value; Otherwise report error.
if (fields[f].empty()) {
OP_REQUIRES(ctx, record_defaults[f].NumElements() == 1,
errors::InvalidArgument(
"Field ", f,
" is required but missing in record ", i, "!"));
output[f]->flat<int32>()(i) = record_defaults[f].flat<int32>()(0);
} else {
int32 value;
OP_REQUIRES(ctx, strings::safe_strto32(fields[f].c_str(), &value),
errors::InvalidArgument("Field ", f, " in record ", i,
" is not a valid int32: ",
fields[f]));
output[f]->flat<int32>()(i) = value;
}
break;
}
case DT_INT64: {
// If this field is empty, check if default is given:
// If yes, use default value; Otherwise report error.
if (fields[f].empty()) {
OP_REQUIRES(ctx, record_defaults[f].NumElements() == 1,
errors::InvalidArgument(
"Field ", f,
" is required but missing in record ", i, "!"));
output[f]->flat<int64>()(i) = record_defaults[f].flat<int64>()(0);
} else {
int64 value;
OP_REQUIRES(ctx, strings::safe_strto64(fields[f].c_str(), &value),
errors::InvalidArgument("Field ", f, " in record ", i,
" is not a valid int64: ",
fields[f]));
output[f]->flat<int64>()(i) = value;
}
break;
}
case DT_FLOAT: {
// If this field is empty, check if default is given:
// If yes, use default value; Otherwise report error.
if (fields[f].empty()) {
OP_REQUIRES(ctx, record_defaults[f].NumElements() == 1,
errors::InvalidArgument(
"Field ", f,
" is required but missing in record ", i, "!"));
output[f]->flat<float>()(i) = record_defaults[f].flat<float>()(0);
} else {
float value;
OP_REQUIRES(ctx, strings::safe_strtof(fields[f].c_str(), &value),
errors::InvalidArgument("Field ", f, " in record ", i,
" is not a valid float: ",
fields[f]));
output[f]->flat<float>()(i) = value;
}
break;
}
case DT_STRING: {
// If this field is empty, check if default is given:
// If yes, use default value; Otherwise report error.
if (fields[f].empty()) {
OP_REQUIRES(ctx, record_defaults[f].NumElements() == 1,
errors::InvalidArgument(
"Field ", f,
" is required but missing in record ", i, "!"));
output[f]->flat<string>()(i) =
record_defaults[f].flat<string>()(0);
} else {
output[f]->flat<string>()(i) = fields[f];
}
break;
}
default:
OP_REQUIRES(ctx, false,
errors::InvalidArgument("csv: data type ", dtype,
" not supported in field ", f));
}
}
}
}
private:
std::vector<DataType> out_type_;
char delim_;
void ExtractFields(OpKernelContext* ctx, StringPiece input,
std::vector<string>* result) {
int current_idx = 0;
if (!input.empty()) {
while (static_cast<size_t>(current_idx) < input.size()) {
if (input[current_idx] == '\n' || input[current_idx] == '\r') {
current_idx++;
continue;
}
bool quoted = false;
if (input[current_idx] == '"') {
quoted = true;
current_idx++;
}
// This is the body of the field;
string field;
if (!quoted) {
while (static_cast<size_t>(current_idx) < input.size() &&
input[current_idx] != delim_) {
OP_REQUIRES(ctx, input[current_idx] != '"' &&
input[current_idx] != '\n' &&
input[current_idx] != '\r',
errors::InvalidArgument(
"Unquoted fields cannot have quotes/CRLFs inside"));
field += input[current_idx];
current_idx++;
}
// Go to next field or the end
current_idx++;
} else {
// Quoted field needs to be ended with '"' and delim or end
while (
(static_cast<size_t>(current_idx) < input.size() - 1) &&
(input[current_idx] != '"' || input[current_idx + 1] != delim_)) {
if (input[current_idx] != '"') {
field += input[current_idx];
current_idx++;
} else {
OP_REQUIRES(
ctx, input[current_idx + 1] == '"',
errors::InvalidArgument("Quote inside a string has to be "
"escaped by another quote"));
field += '"';
current_idx += 2;
}
}
OP_REQUIRES(
ctx,
input[current_idx] == '"' &&
(static_cast<size_t>(current_idx) == input.size() - 1 ||
input[current_idx + 1] == delim_),
errors::InvalidArgument("Quoted field has to end with quote "
"followed by delim or end"));
current_idx += 2;
}
result->push_back(field);
}
// Check if the last field is missing
if (input[input.size() - 1] == delim_) result->push_back(string());
}
}
};
REGISTER_KERNEL_BUILDER(Name("DecodeCSV").Device(DEVICE_CPU), DecodeCSVOp);
} // namespace tensorflow
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