error:Shape mismatch: y has 2000 cols but z has 1 cols

[LinneLee]

when running the code, I got this error message: Exception has occurred: ValueError (note: full exception trace is shown but execution is paused at: _run_module_as_main) Shape mismatch: y has 2000 cols but z has 1 cols Apply node that caused the error: Gemm{no_inplace}(Reshape{2}.0, TensorConstant{2.0}, <TensorType(float32, matrix)>, X.T, TensorConstant{-1.0}) Toposort index: 13 Inputs types: [TensorType(float32, matrix), TensorType(float32, scalar), TensorType(float32, matrix), TensorType(float32, matrix), TensorType(float32, scalar)] Inputs shapes: [(2000, 1), (), (2000, 100), (100, 2000), ()] Inputs strides: [(4, 4), (), (400, 4), (4, 400), ()] Inputs values: ['not shown', array(2., dtype=float32), 'not shown', 'not shown', array(-1., dtype=float32)] Outputs clients: [[Elemwise{Composite{exp((((-i0) + i1) / i2))}}[(0, 0)](Reshape{2}.0, Gemm{no_inplace}.0, Reshape{2}.0)]]

HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'. HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node. File "/home/anaconda3/envs/tp-gpd/lib/python3.8/site-packages/theano/compile/function_module.py", line 903, in call self.fn() if output_subset is None else
ValueError: Shape mismatch: y has 2000 cols but z has 1 cols

During handling of the above exception, another exception occurred:

File "/home/anaconda3/envs/tp-gpd/lib/python3.8/site-packages/theano/compile/function_module.py", line 914, in call gof.link.raise_with_op( File "/home/anaconda3/envs/tp-gpd/lib/python3.8/site-packages/six.py", line 718, in reraise raise value.with_traceback(tb) File "/home/anaconda3/envs/tp-gpd/lib/python3.8/site-packages/theano/gof/link.py", line 325, in raise_with_op reraise(exc_type, exc_value, exc_trace) File "/home/anaconda3/envs/tp-gpd/lib/python3.8/site-packages/theano/compile/function_module.py", line 914, in call gof.link.raise_with_op( File "/home/work space/tp_gnn/group_detect/thesne/model/core.py", line 92, in find_sigma e = update_intervals() File "/home/work space/tp_gnn/group_detect/thesne/model/dynamic_tsne.py", line 205, in dynamic_tsne find_sigma(X_shared, sigma_shared, N, perplexity, sigma_iters, File "/home/work space/tp_gnn/group_detect/thesne/examples/gaussians.py", line 49, in main Ys = dynamic_tsne(Xs, perplexity=70, lmbda=0.1, verbose=1, sigma_iters=50, File "/home/work space/tp_gnn/group_detect/thesne/examples/gaussians.py", line 57, in main() File "/home/anaconda3/envs/tp-gpd/lib/python3.8/runpy.py", line 85, in _run_code exec(code, run_globals) File "/home/anaconda3/envs/tp-gpd/lib/python3.8/runpy.py", line 192, in _run_module_as_main (Current frame) return _run_code(code, main_globals, None, ValueError: Shape mismatch: y has 2000 cols but z has 1 cols Apply node that caused the error: Gemm{no_inplace}(Reshape{2}.0, TensorConstant{2.0}, <TensorType(float32, matrix)>, X.T, TensorConstant{-1.0}) Toposort index: 13 Inputs types: [TensorType(float32, matrix), TensorType(float32, scalar), TensorType(float32, matrix), TensorType(float32, matrix), TensorType(float32, scalar)] Inputs shapes: [(2000, 1), (), (2000, 100), (100, 2000), ()] Inputs strides: [(4, 4), (), (400, 4), (4, 400), ()] Inputs values: ['not shown', array(2., dtype=float32), 'not shown', 'not shown', array(-1., dtype=float32)] Outputs clients: [[Elemwise{Composite{exp((((-i0) + i1) / i2))}}[(0, 0)](Reshape{2}.0, Gemm{no_inplace}.0, Reshape{2}.0)]]

HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'. HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.

The error vanishes when I sent only one data (X) with shape (1, -1) in the tsne function, but it seems the wrong way to resolve this since I still can not get correct output. Could you give me some hint to solve this error?