Added method to reshape dims of network. #9
Conversation
Pull Request Test Coverage Report for Build 1693744455Warning: This coverage report may be inaccurate.This pull request's base commit is no longer the HEAD commit of its target branch. This means it includes changes from outside the original pull request, including, potentially, unrelated coverage changes.
Details
💛 - Coveralls |
AGaliciaMartinez
changed the title
| node = random_node(dim_edges) | ||
| network = Network(node[:], [], copy=False) | ||
| with pytest.raises(ValueError): | ||
| network.match_out_dims(target_dims) |
There was a problem hiding this comment.
It's probably worthwhile asserting that network is in a valid state after an error has been raised.
There was a problem hiding this comment.
That's a good point. I will do so.
Co-authored-by: Simon Cross <[email protected]>
|
Thank you for the review Simon! |
|
I changed so that |
| ``target_dims``. After this function the following will hold: | ||
| ``network.dims[0] == target_dims`` |
There was a problem hiding this comment.
| ``target_dims``. After this function the following will hold: | |
| ``network.dims[0] == target_dims`` | |
| ``target_dims``. The returned network will have ``network.dims[0] == target_dims``. |
| ``target_dims``. After this function the following will hold: | ||
| ``network.dims[1] == target_dims`` |
There was a problem hiding this comment.
| ``target_dims``. After this function the following will hold: | |
| ``network.dims[1] == target_dims`` | |
| ``target_dims``. The returned network will have ``network.dims[1] == target_dims``. |
| Parameters | ||
| ---------- | ||
| target_dims: list of int | ||
| Desired dimensions for ``out_edges``. |
There was a problem hiding this comment.
| Desired dimensions for ``out_edges``. | |
| Desired dimensions for ``in_edges``. |
| >>> array = np.random.random(network_dim) | ||
| >>> node = tn.Node(array) | ||
| >>> network = Network(node[:], []) | ||
| >>> network = network.match_out_dims(target_dims) |
There was a problem hiding this comment.
| >>> network = network.match_out_dims(target_dims) | |
| >>> network = network.match_in_dims(target_dims) |
| new_edges = [] | ||
|
|
||
| if len(edges) == 0 and len(target_dims) == 0: | ||
| return _edges |
There was a problem hiding this comment.
Should this just be return edges? _edges does not seem to be defined any more. We should add a test for the empty edges and target_dims case.
| "edges are not compatible. The dimensions for edges is " | ||
| + str(e_dims) | ||
| + ", whereas the target dimension is" | ||
| + str(_target_dims) |
There was a problem hiding this comment.
| "edges are not compatible. The dimensions for edges is " | |
| + str(e_dims) | |
| + ", whereas the target dimension is" | |
| + str(_target_dims) | |
| f"edges are not compatible. The dimensions for edges is {e_dims}" | |
| f", whereas the target dimension is {_target_dims}." |
There was a problem hiding this comment.
I guess we should just use f-strings these days.
|
|
||
| e_dims = [e.dimension for e in edges] | ||
|
|
||
| new_edges = [] |
There was a problem hiding this comment.
I would move the initialization of new_edges to just before the top of the loop so that it's closer to where it's used. Currently we define it, then don't use it for awhile, then suddenly use it in the middle of a loop.
This PR implements two methods,
match_in_dimsandmatch_out_dimsthat allows splitting edges to match a target dimension. This is primarily meant to be used withptraceas we need to reshape the outer nodes such that the network has the appropriate dimensions.Note that
_match_edges_by_splitis a very similar function but with different scope. The new_match_dimensionsis meant to be used with unary operators that required a change in the dimension (ptrace) whereas_match_edges_by_splitis meant to be used with binary operators (matmul). This is because for_match_dimensions(unary version) we do not allow merging two edge dimension. However, such operation can also be achieved in_match_edges_by_split(binary version) by just splitting the edges as two list of edges is available.The reason to not allow here in
_match_dimensionsto merge edges is because this is a relatively complex operation that will require contracting nodes. I am assuming that it is best to do the contraction of the full network in a single step such that an optimized path is used.