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[Cpp API Compatibility] add item & meta API #77182

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[Cpp API Compatibility] add item & meta API #77182

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17491c1
add item & meta
Le-soleile Jan 4, 2026
004355b
fix item
Le-soleile Jan 4, 2026
731f5b5
add T item
Le-soleile Jan 4, 2026
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63 changes: 63 additions & 0 deletions paddle/phi/api/include/compat/ATen/core/TensorBody.h
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Original file line number Diff line number Diff line change
Expand Up @@ -135,6 +135,69 @@ class Tensor : public TensorBase {
return TensorBase::to(options, non_blocking, copy, memory_format);
}

Tensor meta() const {
PD_THROW("`meta()` is not supported in this Paddle build.");
}

at::Scalar item() const {
if (tensor_.numel() != 1) {
PD_THROW("only one element tensors can be converted to Python scalars");
}

// Move to CPU if necessary (for compatibility with PyTorch behavior)
PaddleTensor cpu_tensor = tensor_;
if (!phi::is_cpu_place(tensor_.place())) {
PaddlePlace place(phi::AllocationType::CPU);
cpu_tensor = tensor_.copy_to(place, true);
}

auto dtype = cpu_tensor.dtype();
if (dtype == phi::DataType::FLOAT32) {
return at::Scalar(*(cpu_tensor.data<float>()));
} else if (dtype == phi::DataType::FLOAT64) {
return at::Scalar(*(cpu_tensor.data<double>()));
} else if (dtype == phi::DataType::FLOAT16) {
return at::Scalar(
static_cast<float>(*(cpu_tensor.data<phi::dtype::float16>())));
} else if (dtype == phi::DataType::BFLOAT16) {
return at::Scalar(
static_cast<float>(*(cpu_tensor.data<phi::dtype::bfloat16>())));
} else if (dtype == phi::DataType::INT8) {
return at::Scalar(*(cpu_tensor.data<int8_t>()));
} else if (dtype == phi::DataType::INT16) {
return at::Scalar(*(cpu_tensor.data<int16_t>()));
} else if (dtype == phi::DataType::INT32) {
return at::Scalar(*(cpu_tensor.data<int32_t>()));
} else if (dtype == phi::DataType::INT64) {
return at::Scalar(*(cpu_tensor.data<int64_t>()));
} else if (dtype == phi::DataType::UINT8) {
return at::Scalar(*(cpu_tensor.data<uint8_t>()));
} else if (dtype == phi::DataType::BOOL) {
return at::Scalar(*(cpu_tensor.data<bool>()));
} else if (dtype == phi::DataType::COMPLEX64) {
return at::Scalar(*(cpu_tensor.data<phi::dtype::complex<float>>()));
} else if (dtype == phi::DataType::COMPLEX128) {
return at::Scalar(*(cpu_tensor.data<phi::dtype::complex<double>>()));
}
PD_THROW("item(): Unsupported data type");
}

template <typename T>
T item() const {
if (tensor_.numel() != 1) {
PD_THROW("only one element tensors can be converted to Python scalars");
}

// Move to CPU if necessary (for compatibility with PyTorch behavior)
PaddleTensor cpu_tensor = tensor_;
if (!phi::is_cpu_place(tensor_.place())) {
PaddlePlace place(phi::AllocationType::CPU);
cpu_tensor = tensor_.copy_to(place, true);
}

return *(cpu_tensor.data<T>());
}

at::Tensor to(
at::ScalarType dtype,
bool non_blocking = false,
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