eagerai / tfaddons Goto Github PK
View Code? Open in Web Editor NEWR interface to TensorFlow 2.x SIG-Addons
Home Page: https://eagerai.github.io/tfaddons/
License: Apache License 2.0
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tfaddons's Issues
Issue with `metric_rsquare()`
Hi,
Thank you for defining the wrapper for R. I think there is a problem with the tfaddons::metric_rsquare(). I tried running the example in the documentation, but there is an undefined variable (r1) . Do you also have a problem running it on your side? If not then I will send a repex.
tensorflow-addons-0.14.0 or higher?
Dear Reader,
I have tensorflow version 2.6 running on a M1 mac, and have been using it through R + Keras API in an analysis. I would also like to use the tensorflow-addons package, however I don't think I can use the given version, i.e. 0.10.0, in my analysis? I use wonder if there is a way to use the tensorflow-addons-0.10.0 package in my current setup, or do I have to down grade my tensorflow version to 2.2?
Kindest Regards,
Colin.
Cannot run n_pairs loss for TensorFlow 2.1 Windows
Why I get the following while specifying the loss function "loss_npairs"?
Not implemented in TF 2.1 Windows
Current GitHub release fails
The current development version seems to be failing, but the CRAN release works.
devtools::install_github('henry090/tfaddons')
Downloading GitHub repo EagerAI/tfaddons@HEAD
√ checking for file 'C:\Local\Temp\RtmpSwGaoM\remotes37a05530796\EagerAI-tfaddons-46ab9d3/DESCRIPTION' ...
- preparing 'tfaddons': (581ms)
√ checking DESCRIPTION meta-information ...
- checking for LF line-endings in source and make files and shell scripts (488ms)
- checking for empty or unneeded directories
- building 'tfaddons_0.10.1.tar.gz'
Installing package into ‘C:/project/renv/library/R-4.0/x86_64-w64-mingw32’
(as ‘lib’ is unspecified)
* installing *source* package 'tfaddons' ...
** using staged installation
** R
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
converting help for package 'tfaddons'
finding HTML links ... done
activation_gelu html
activation_hardshrink html
activation_lisht html
activation_mish html
activation_rrelu html
activation_softshrink html
activation_sparsemax html
activation_tanhshrink html
attention_bahdanau html
attention_bahdanau_monotonic html
attention_luong html
attention_luong_monotonic html
attention_monotonic html
attention_wrapper html
attention_wrapper_state html
callback_average_model_checkpoint html
callback_time_stopping html
callback_tqdm_progress_bar html
crf_binary_score html
crf_decode html
crf_decode_backward html
crf_decode_forward html
crf_forward html
crf_log_likelihood html
crf_log_norm html
crf_multitag_sequence_score html
crf_sequence_score html
crf_unary_score html
decode_dynamic html
decoder html
decoder_base html
decoder_basic html
decoder_basic_output html
decoder_beam_search html
decoder_beam_search_output html
decoder_beam_search_state html
decoder_final_beam_search_output html
extend_with_decoupled_weight_decay html
gather_tree html
gather_tree_from_array html
hardmax html
img_adjust_hsv_in_yiq html
img_angles_to_projective_transforms html
img_blend html
img_compose_transforms html
img_connected_components html
img_cutout html
img_dense_image_warp html
img_equalize html
img_euclidean_dist_transform html
img_flat_transforms_to_matrices html
img_from_4D html
img_get_ndims html
img_interpolate_bilinear html
img_interpolate_spline html
img_matrices_to_flat_transforms html
img_mean_filter2d html
img_median_filter2d html
img_random_cutout html
img_random_hsv_in_yiq html
img_resampler html
img_rotate html
img_sharpness html
img_shear_x html
img_shear_y html
img_sparse_image_warp html
img_to_4D html
img_transform html
img_translate html
img_translate_xy html
img_translations_to_projective_transforms
html
img_unwrap html
img_wrap html
install_tfaddons html
layer_activation_gelu html
layer_correlation_cost html
layer_filter_response_normalization html
layer_group_normalization html
layer_instance_normalization html
layer_maxout html
layer_multi_head_attention html
layer_nas_cell html
layer_norm_lstm_cell html
layer_poincare_normalize html
layer_sparsemax html
layer_weight_normalization html
lookahead_mechanism html
loss_contrastive html
loss_giou html
loss_hamming html
loss_lifted_struct html
loss_npairs html
loss_npairs_multilabel html
loss_pinball html
loss_sequence html
loss_sigmoid_focal_crossentropy html
loss_sparsemax html
loss_triplet_hard html
loss_triplet_semihard html
metric_cohen_kappa html
metric_fbetascore html
metric_hamming_distance html
metric_mcc html
metric_multilabel_confusion_matrix html
metric_rsquare html
metrics_f1score html
optimizer_conditional_gradient html
optimizer_decay_adamw html
optimizer_decay_sgdw html
optimizer_lamb html
optimizer_lazy_adam html
optimizer_moving_average html
optimizer_novograd html
optimizer_radam html
optimizer_swa html
optimizer_yogi html
parse_time html
reexports html
register_all html
register_custom_kernels html
register_keras_objects html
safe_cumprod html
sample_bernoulli html
sample_categorical html
sampler html
sampler_custom html
sampler_greedy_embedding html
sampler_inference html
sampler_sample_embedding html
sampler_scheduled_embedding_training html
sampler_scheduled_output_training html
sampler_training html
skip_gram_sample html
skip_gram_sample_with_text_vocab html
tfaddons_version html
tile_batch html
viterbi_decode html
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
*** arch - i386
Error: package or namespace load failed for 'tfaddons' in library.dynam(lib, package, package.lib):
DLL 'Rcpp' not found: maybe not installed for this architecture?
Error: loading failed
Execution halted
*** arch - x64
ERROR: loading failed for 'i386'
* removing 'C:/project/renv/library/R-4.0/x86_64-w64-mingw32/tfaddons'
* restoring previous 'C:/project/renv/library/R-4.0/x86_64-w64-mingw32/tfaddons'
I run this installation via renv and installing Rcpp didn't seem to help.
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