diff --git a/include/aidge/data/Data.hpp b/include/aidge/data/Data.hpp
index 156e4d8c14510d52780b512a03d95c7c01d25e53..1ce3782e8dd674e2049d5e21bbcb529948aeed0c 100644
--- a/include/aidge/data/Data.hpp
+++ b/include/aidge/data/Data.hpp
@@ -37,7 +37,7 @@ public:
return mType;
}
virtual ~Data() = default;
- virtual std::string toString() const = 0;
+ virtual std::string toString(int precision = -1) const = 0;
private:
const std::string mType;
diff --git a/include/aidge/data/Tensor.hpp b/include/aidge/data/Tensor.hpp
index c8df815bbe294e90e86f125a804bde2db82a739b..686657e94ba4e759a3760e114747f7a1e482d11c 100644
--- a/include/aidge/data/Tensor.hpp
+++ b/include/aidge/data/Tensor.hpp
@@ -642,7 +642,7 @@ public:
set<expectedType>(getStorageIdx(coordIdx), value);
}
- std::string toString() const override;
+ std::string toString(int precision = -1) const override;
inline void print() const { fmt::print("{}\n", toString()); }
@@ -981,14 +981,34 @@ private:
template<>
struct fmt::formatter<Aidge::Tensor> {
+ // Only stores override precision from format string
+ int precision_override = -1;
+
template<typename ParseContext>
- inline constexpr auto parse(ParseContext& ctx) {
- return ctx.begin();
+ constexpr auto parse(ParseContext& ctx) {
+ auto it = ctx.begin();
+ if (it != ctx.end() && *it == '.') {
+ ++it;
+ if (it != ctx.end() && *it >= '0' && *it <= '9') {
+ precision_override = 0;
+ do {
+ precision_override = precision_override * 10 + (*it - '0');
+ ++it;
+ } while (it != ctx.end() && *it >= '0' && *it <= '9');
+ }
+ }
+
+ if (it != ctx.end() && *it == 'f') {
+ ++it;
+ }
+
+ return it;
}
template<typename FormatContext>
- inline auto format(Aidge::Tensor const& t, FormatContext& ctx) const {
- return fmt::format_to(ctx.out(), "{}", t.toString());
+ auto format(Aidge::Tensor const& t, FormatContext& ctx) const {
+ // Use precision_override if specified, otherwise toString will use default
+ return fmt::format_to(ctx.out(), "{}", t.toString(precision_override));
}
};
diff --git a/src/data/Tensor.cpp b/src/data/Tensor.cpp
index a14ae4187707490cfb70681fc418daf961cb053b..58e157f9f283009c0097b770ec08c481ca6772db 100644
--- a/src/data/Tensor.cpp
+++ b/src/data/Tensor.cpp
@@ -312,141 +312,160 @@ void Tensor::resize(const std::vector<DimSize_t>& dims,
}
}
-std::string Tensor::toString() const {
-
+std::string Tensor::toString(int precision) const {
if (!hasImpl() || undefined()) {
- // Return no value on no implementation or undefined size
- return std::string("{}");
+ return "{}";
}
- // TODO: move lambda elsewhere?
- auto ptrToString = [](DataType dt, void* ptr, std::size_t idx) {
- switch (dt) {
- case DataType::Float64:
- return std::to_string(static_cast<double*>(ptr)[idx]);
- case DataType::Float32:
- return std::to_string(static_cast<float*>(ptr)[idx]);
- case DataType::Float16:
- return std::to_string(static_cast<half_float::half*>(ptr)[idx]);
- case DataType::Binary:
- return std::to_string(static_cast<int8_t*>(ptr)[idx]);
- case DataType::Octo_Binary:
- return std::to_string(static_cast<int8_t*>(ptr)[idx]);
- case DataType::Dual_Int4:
- return std::to_string(static_cast<int8_t*>(ptr)[idx]);
- case DataType::Dual_UInt4:
- return std::to_string(static_cast<uint8_t*>(ptr)[idx]);
- case DataType::Dual_Int3:
- return std::to_string(static_cast<int8_t*>(ptr)[idx]);
- case DataType::Dual_UInt3:
- return std::to_string(static_cast<uint8_t*>(ptr)[idx]);
- case DataType::Quad_Int2:
- return std::to_string(static_cast<int8_t*>(ptr)[idx]);
- case DataType::Quad_UInt2:
- return std::to_string(static_cast<uint8_t*>(ptr)[idx]);
- case DataType::Int4:
- return std::to_string(static_cast<int8_t*>(ptr)[idx]);
- case DataType::UInt4:
- return std::to_string(static_cast<uint8_t*>(ptr)[idx]);
- case DataType::Int3:
- return std::to_string(static_cast<int8_t*>(ptr)[idx]);
- case DataType::UInt3:
- return std::to_string(static_cast<uint8_t*>(ptr)[idx]);
- case DataType::Int2:
- return std::to_string(static_cast<int8_t*>(ptr)[idx]);
- case DataType::UInt2:
- return std::to_string(static_cast<uint8_t*>(ptr)[idx]);
- case DataType::Int8:
- return std::to_string(static_cast<int8_t*>(ptr)[idx]);
- case DataType::Int16:
- return std::to_string(static_cast<int16_t*>(ptr)[idx]);
- case DataType::Int32:
- return std::to_string(static_cast<int32_t*>(ptr)[idx]);
- case DataType::Int64:
- return std::to_string(static_cast<int64_t*>(ptr)[idx]);
- case DataType::UInt8:
- return std::to_string(static_cast<uint8_t*>(ptr)[idx]);
- case DataType::UInt16:
- return std::to_string(static_cast<uint16_t*>(ptr)[idx]);
- case DataType::UInt32:
- return std::to_string(static_cast<uint32_t*>(ptr)[idx]);
- case DataType::UInt64:
- return std::to_string(static_cast<uint64_t*>(ptr)[idx]);
- default:
- AIDGE_ASSERT(true, "unsupported type to convert to string");
- }
- return std::string("?"); // To make Clang happy
- };
+ // Use default precision if no override provided
+ precision = (precision >= 0) ? precision : Log::getPrecision();
+
+ // Create a type-specific formatter function upfront
+ std::function<std::string(void*, std::size_t)> formatter;
+
+ switch (mDataType) {
+ case DataType::Float64:
+ formatter = [precision](void* ptr, std::size_t idx) {
+ return fmt::format("{:.{}f}", static_cast<cpptype_t<DataType::Float64>*>(ptr)[idx], precision);
+ };
+ break;
+ case DataType::Float32:
+ formatter = [precision](void* ptr, std::size_t idx) {
+ return fmt::format("{:.{}f}", static_cast<cpptype_t<DataType::Float32>*>(ptr)[idx], precision);
+ };
+ break;
+ case DataType::Float16:
+ formatter = [precision](void* ptr, std::size_t idx) {
+ return fmt::format("{:.{}f}", static_cast<cpptype_t<DataType::Float16>*>(ptr)[idx], precision);
+ };
+ break;
+ case DataType::Binary:
+ case DataType::Octo_Binary:
+ case DataType::Dual_Int4:
+ case DataType::Dual_Int3:
+ case DataType::Dual_UInt3:
+ case DataType::Quad_Int2:
+ case DataType::Quad_UInt2:
+ case DataType::Int4:
+ case DataType::UInt4:
+ case DataType::Int3:
+ case DataType::UInt3:
+ case DataType::Int2:
+ case DataType::UInt2:
+ case DataType::Int8:
+ formatter = [](void* ptr, std::size_t idx) {
+ return fmt::format("{}", static_cast<cpptype_t<DataType::Int32>>(static_cast<cpptype_t<DataType::Int8>*>(ptr)[idx]));
+ };
+ break;
+ case DataType::Dual_UInt4:
+ case DataType::UInt8:
+ formatter = [](void* ptr, std::size_t idx) {
+ return fmt::format("{}", static_cast<cpptype_t<DataType::UInt32>>(static_cast<cpptype_t<DataType::UInt8>*>(ptr)[idx]));
+ };
+ break;
+ case DataType::Int16:
+ formatter = [](void* ptr, std::size_t idx) {
+ return fmt::format("{}", static_cast<cpptype_t<DataType::Int16>*>(ptr)[idx]);
+ };
+ break;
+ case DataType::Int32:
+ formatter = [](void* ptr, std::size_t idx) {
+ return fmt::format("{}", static_cast<cpptype_t<DataType::Int32>*>(ptr)[idx]);
+ };
+ break;
+ case DataType::Int64:
+ formatter = [](void* ptr, std::size_t idx) {
+ return fmt::format("{}", static_cast<cpptype_t<DataType::Int64>*>(ptr)[idx]);
+ };
+ break;
+ case DataType::UInt16:
+ formatter = [](void* ptr, std::size_t idx) {
+ return fmt::format("{}", static_cast<cpptype_t<DataType::UInt16>*>(ptr)[idx]);
+ };
+ break;
+ case DataType::UInt32:
+ formatter = [](void* ptr, std::size_t idx) {
+ return fmt::format("{}", static_cast<cpptype_t<DataType::UInt32>*>(ptr)[idx]);
+ };
+ break;
+ case DataType::UInt64:
+ formatter = [](void* ptr, std::size_t idx) {
+ return fmt::format("{}", static_cast<cpptype_t<DataType::UInt64>*>(ptr)[idx]);
+ };
+ break;
+ default:
+ AIDGE_ASSERT(true, "unsupported type to convert to string");
+ return "{}";
+ }
if (dims().empty()) {
- // The Tensor is defined with rank 0, hence scalar
- return ptrToString(mDataType, mImpl->hostPtr(), 0);
+ return formatter(mImpl->hostPtr(), 0);
}
- std::string res;
- std::size_t dim = 0;
- std::size_t counter = 0;
+ void* dataPtr = mImpl->hostPtr(mImplOffset);
+ std::string result;
+
if (nbDims() >= 2) {
- std::vector<std::size_t> dimVals(nbDims(), 0);
- res += "{\n";
+ std::vector<std::size_t> currentDim(nbDims(), 0);
+ std::size_t depth = 0;
+ std::size_t counter = 0;
+
+ result = "{\n";
while (counter < mSize) {
- std::string spaceString = std::string((dim + 1) << 1, ' ');
- if (dim < nbDims() - 2) {
- if (dimVals[dim] == 0) {
- res += spaceString + "{\n";
- ++dim;
- } else if (dimVals[dim] <
- static_cast<std::size_t>(dims()[dim])) {
- res += spaceString + "},\n" + spaceString + "{\n";
- ++dim;
+ // Create indent string directly
+ std::string indent((depth + 1) * 2, ' ');
+
+ if (depth < nbDims() - 2) {
+ if (currentDim[depth] == 0) {
+ result += indent + "{\n";
+ ++depth;
+ } else if (currentDim[depth] < static_cast<std::size_t>(dims()[depth])) {
+ result += indent + "},\n" + indent + "{\n";
+ ++depth;
} else {
- res += spaceString + "}\n";
- dimVals[dim--] = 0;
- dimVals[dim]++;
+ result += indent + "}\n";
+ currentDim[depth--] = 0;
+ ++currentDim[depth];
}
} else {
- for (; dimVals[dim] < static_cast<std::size_t>(dims()[dim]);
- ++dimVals[dim]) {
- res += spaceString + "{";
- for (DimSize_t j = 0; j < dims()[dim + 1] - 1; ++j) {
- res +=
- " " +
- ptrToString(mDataType, mImpl->hostPtr(mImplOffset),
- counter++) +
- ",";
+ for (; currentDim[depth] < static_cast<std::size_t>(dims()[depth]); ++currentDim[depth]) {
+ result += indent + "{";
+
+ for (DimSize_t j = 0; j < dims()[depth + 1]; ++j) {
+ result += " " + formatter(dataPtr, counter++);
+ if (j < dims()[depth + 1] - 1) {
+ result += ",";
+ }
}
- res += " " +
- ptrToString(mDataType, mImpl->hostPtr(mImplOffset),
- counter++) +
- "}";
- if (dimVals[dim] <
- static_cast<std::size_t>(dims()[dim] - 1)) {
- res += ",";
+
+ result += " }";
+ if (currentDim[depth] < static_cast<std::size_t>(dims()[depth] - 1)) {
+ result += ",";
}
- res += "\n";
+ result += "\n";
}
- if (dim == 0) {
- break;
- }
- dimVals[dim--] = 0;
- dimVals[dim]++;
+
+ if (depth == 0) break;
+ currentDim[depth--] = 0;
+ ++currentDim[depth];
}
}
- if (nbDims() != 2) { // If nbDims == 2, parenthesis is already closed
- for (int i = static_cast<int>(dim); i >= 0; --i) {
- res += std::string((i + 1) << 1, ' ') + "}\n";
+
+ if (nbDims() != 2) {
+ for (std::size_t i = depth + 1; i > 0;) {
+ result += std::string(((--i) + 1) * 2, ' ') + "}\n";
}
}
} else {
- res += "{";
+ result = "{";
for (DimSize_t j = 0; j < dims()[0]; ++j) {
- res += " " +
- ptrToString(mDataType, mImpl->hostPtr(mImplOffset), j) +
- ((j < dims()[0] - 1) ? "," : " ");
+ result += " " + formatter(dataPtr, j);
+ result += (j < dims()[0] - 1) ? "," : " ";
}
}
- res += "}";
- return res;
+
+ result += "}";
+ return result;
}
Tensor Tensor::extract(