Paddle

Commit Graph

Author	SHA1	Message	Date
fengjiayi	dcfcf6872a	Refactor Tensor::CopyFrom() 1. Add template T which indicates data type to `CopyFrom()`, `Slice()` and `ShareData()` functions. This makes `CopyData()` code much clearer. 2. Add `set_dim()`. 3. `product(DDim)` transforms `DDim` to `vector<int>` first and then calculate its product. That might be quite slow. For `product(dims_)` is frequently used in Tensor, we add a mumber variable `numel_` as a cache of the product result. TODO: refactor `product()` to make it more efficient. 4. Unable Tensor::operator= 5. Remove the limit of POD type, because `float16` and `int8` are not POD type.	8 years ago
fengjiayi	69d99d481d	Add Tensor::CopyFrom and Tensor::mutable_data(Place place) 1. Add `Tensor::CopyFrom`. Current version can only support CPU memory copy. The support of GPU will be provided later by `paddle::memory`. The current implementation of `Tensor::CopyFrom` is a little inefficient: Every time `CopyFrom` is called, tensor will re-allocate its memory. However, if we try to check and reuse `placeholder_`, we have to provide a template parameter for `CopyFrom` to indicate the data type. It seems strange for a simple copy function. 2. Add `Tensor::mutable_data(Place place)`, which directly use member variable `dims_` as its dim parameter. This interface is required by `Op::InferShape`.	8 years ago
fengjiayi	0665dc9755	add more test	8 years ago
fengjiayi	d054a5eef8	re-submit	8 years ago
fengjiayi	e146fe836b	fix compile errors and add assert test	8 years ago
fengjiayi	696ba1d2e1	init tensor_test.cc	8 years ago

6 Commits (dcfcf6872a6a7b5c9d58eec2e30e08e7f7897cf4)