t3f
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Getting started
Installation
Quick start
Frequently asked questions
API
Comparison to other libraries
Benchmark
Troubleshooting
Tutorials
Tensor Nets (compressing neural networks)
Tensor completion (example of minimizing a loss w.r.t. TT-tensor)
Riemannian optimization
t3f
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Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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N
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O
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P
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Q
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R
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S
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T
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U
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Z
A
add() (in module t3f)
add_n() (in module t3f.approximate)
add_n_projected() (in module t3f)
assign() (in module t3f)
B
batch_size (t3f.TensorTrainBatch attribute)
batch_size() (in module t3f)
bilinear_form() (in module t3f)
C
call() (t3f.nn.KerasDense method)
cast() (in module t3f)
cholesky() (in module t3f.kronecker)
clean_raw_shape() (in module t3f)
compute_output_shape() (t3f.nn.KerasDense method)
concat_along_batch_dim() (in module t3f)
cores_regularizer() (in module t3f)
D
determinant() (in module t3f.kronecker)
dtype (t3f.TensorTrainBase attribute)
E
eval() (t3f.TensorTrainBase method)
expand_batch_dim() (in module t3f)
eye() (in module t3f)
F
flat_inner() (in module t3f)
frobenius_norm() (in module t3f)
frobenius_norm_squared() (in module t3f)
full() (in module t3f)
G
gather_nd() (in module t3f)
get_raw_shape() (t3f.TensorTrainBase method)
get_shape() (t3f.TensorTrainBase method)
(t3f.TensorTrainBatch method)
get_tt_ranks() (t3f.TensorTrainBase method)
get_variable() (in module t3f)
glorot_initializer() (in module t3f)
gradients() (in module t3f)
gram_matrix() (in module t3f)
graph (t3f.TensorTrainBase attribute)
H
he_initializer() (in module t3f)
hessian_vector_product() (in module t3f)
I
in_eager_mode() (in module t3f.utils)
inv() (in module t3f.kronecker)
is_batch_broadcasting_possible() (in module t3f)
is_tt_matrix() (t3f.TensorTrainBase method)
is_variable() (t3f.TensorTrainBase method)
K
KerasDense (class in t3f.nn)
L
l2_regularizer() (in module t3f)
lazy_batch_size() (in module t3f)
lazy_raw_shape() (in module t3f)
lazy_shape() (in module t3f)
lazy_tt_ranks() (in module t3f)
lecun_initializer() (in module t3f)
left_tt_rank_dim (t3f.TensorTrain attribute)
(t3f.TensorTrainBatch attribute)
M
matmul() (in module t3f)
matrix_batch_with_random_cores() (in module t3f)
matrix_ones() (in module t3f)
matrix_with_random_cores() (in module t3f)
matrix_zeros() (in module t3f)
multiply() (in module t3f)
multiply_along_batch_dim() (in module t3f)
N
name (t3f.TensorTrainBase attribute)
ndims() (t3f.TensorTrainBase method)
O
ones_like() (in module t3f)
op (t3f.TensorTrainBase attribute)
orthogonalize_tt_cores() (in module t3f)
P
pairwise_flat_inner() (in module t3f)
pairwise_flat_inner_projected() (in module t3f)
project() (in module t3f)
project_matmul() (in module t3f)
project_sum() (in module t3f)
Q
quadratic_form() (in module t3f)
R
random_matrix() (in module t3f)
random_matrix_batch() (in module t3f)
random_tensor() (in module t3f)
random_tensor_batch() (in module t3f)
raw_shape() (in module t3f)
reduce_sum_batch() (in module t3f.approximate)
renormalize_tt_cores() (in module t3f)
replace_tf_svd_with_np_svd() (in module t3f.utils)
right_tt_rank_dim (t3f.TensorTrain attribute)
(t3f.TensorTrainBatch attribute)
round() (in module t3f)
S
shape() (in module t3f)
slog_determinant() (in module t3f.kronecker)
squeeze_batch_dim() (in module t3f)
T
t3f (module)
t3f.approximate (module)
t3f.kronecker (module)
t3f.nn (module)
t3f.utils (module)
tangent_space_to_deltas() (in module t3f)
tensor_batch_with_random_cores() (in module t3f)
tensor_ones() (in module t3f)
tensor_with_random_cores() (in module t3f)
tensor_zeros() (in module t3f)
TensorTrain (class in t3f)
TensorTrainBase (class in t3f)
TensorTrainBatch (class in t3f)
to_tt_matrix() (in module t3f)
to_tt_tensor() (in module t3f)
transpose() (in module t3f)
tt_cores (t3f.TensorTrain attribute)
(t3f.TensorTrainBase attribute)
(t3f.TensorTrainBatch attribute)
tt_ranks() (in module t3f)
U
unravel_index() (in module t3f.utils)
Z
zeros_like() (in module t3f)
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