Comments (5)
@parrt Works! Lovely! Even outside of Jupyter. When I run from the shell a little matplotlib-style window pops up showing the image. Thanks!
from tensor-sensor.
Or even just for numpy users! The first example in the documentation is only using numpy, not Keras/tensorflow.
from tensor-sensor.
I think this automatically works for NumPy too. Since only torch is imported explicitly
from tensor-sensor.
Fixed by #10
from tensor-sensor.
@drscotthawley please try now. thanks! pip install -U tensor-sensor
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Related Issues (20)
- Graphviz errors for abstract syntax tree (AST) vizualisation HOT 2
- Power `**` operator not handled HOT 1
- explain() likely affects PyTorch autograd operations
- Unhandled statements cause exceptions (Was: Nested calls to clarify can raise stacked Exceptions) HOT 3
- Seem a problem with np.ones() function HOT 3
- Supporting JAX HOT 8
- Identify nested clarify() calls and ignored nested ones. HOT 1
- can't handle `a = b = np.ones(3)` statements
- Can't visualize operations in pytorch modules HOT 1
- Suppress visualisation of () as operator in tree HOT 3
- Add tensor element type info HOT 3
- Improvement: See into nn.Sequential models
- Showing too many matrices for complicated operands
- Boxes for operands packed too tightly
- Default font's spacing on mac incorrect HOT 6
- Not an issue - livepython fyi HOT 2
- executing and pure_eval HOT 5
- Contribution Guidelines HOT 3
- Optional dependencies not working properly HOT 10
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from tensor-sensor.