mirror of
https://github.com/uxlfoundation/oneDNN.git
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doc: fixed majority of toctree warnings
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committed by
Vadim Pirogov
parent
a52df83f09
commit
5bc5ba521c
@ -105,8 +105,6 @@ and the _a_ and _b_ dimensions represent the number of columns and rows, then
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_ab_ would denote the row-major (C) format and _ba_ would denote the
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column-major (Fortran) format.
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@todo Picture here
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Upper-case letters are used to indicate that the data is laid out in blocks for
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a particular dimension. In such cases, the format name contains both upper- and
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lower-case letters for that dimension with a lower-case letter preceded by the
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@ -115,8 +113,6 @@ but with columns split into contiguous blocks of 16 elements each. Moreover, the
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implicit assumption is that if the number of columns is not divisible by 16, the
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last block in the in-memory representation will contain padding.
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@todo Picture here
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Since there are many widely used names for specific deep learning domains like
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convolutional neural networks (CNNs), oneDNN also supports memory
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format tags in which dimensions have specifically assigned meaning like 'image
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@ -1,10 +0,0 @@
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Build and Link oneDNN
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#####################
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.. toctree::
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:maxdepth: 1
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dev_guide_system_requirements
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dev_guide_build
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dev_guide_build_options
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dev_guide_link
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@ -7,23 +7,6 @@ Orphans
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:maxdepth: 1
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global
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page_getting_started_cpp
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page_memory_format_propagation_cpp
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page_performance_profiling_cpp
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page_cross_engine_reorder_cpp
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page_cross_engine_reorder_c
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page_sycl_interop_buffer_cpp
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page_gpu_opencl_interop_cpp
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page_bnorm_u8_via_binary_postops_cpp
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page_cnn_inference_f32_cpp
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page_cnn_inference_f32_c
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page_cpu_rnn_inference_f32_cpp
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page_cnn_inference_int8_cpp
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page_cpu_rnn_inference_int8_cpp
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page_cnn_training_f32_cpp
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page_cpu_cnn_training_f32_c
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page_rnn_training_f32_cpp
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page_cnn_training_bf16_cpp
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example_augru.cpp.rst
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example_batch_normalization.cpp.rst
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example_binary.cpp.rst
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@ -35,26 +18,34 @@ Orphans
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example_cnn_training_f32.cpp.rst
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example_concat.cpp.rst
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example_convolution.cpp.rst
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example_cpu_brgemm.cpp.rst
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example_cpu_cnn_training_f32.c.rst
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example_cpu_matmul_csr.cpp.rst
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example_cpu_getting_started.cpp.rst
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example_cpu_inference_int8.cpp.rst
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example_cpu_matmul_coo.cpp.rst
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example_cpu_matmul_csr.cpp.rst
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example_cpu_matmul_quantization.cpp.rst
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example_cpu_matmul_weights_compression.cpp.rst
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example_cpu_rnn_inference_f32.cpp.rst
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example_cpu_rnn_inference_int8.cpp.rst
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example_cpu_sgemm_and_matmul.cpp.rst
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example_cpu_single_op_partition.cpp.rst
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example_cross_engine_reorder.c.rst
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example_cross_engine_reorder.cpp.rst
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example_deconvolution.cpp.rst
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example_eltwise.cpp.rst
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example_getting_started.cpp.rst
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example_gpu_opencl_getting_started.cpp.rst
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example_gpu_opencl_interop.cpp.rst
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example_group_normalization.cpp.rst
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example_inference_int8_matmul.cpp.rst
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example_inner_product.cpp.rst
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example_layer_normalization.cpp.rst
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example_group_normalization.cpp.rst
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example_lbr_gru.cpp.rst
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example_lrn.cpp.rst
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example_lstm.cpp.rst
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example_matmul.cpp.rst
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example_matmul_perf.cpp.rst
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example_memory_format_propagation.cpp.rst
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example_performance_profiling.cpp.rst
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example_pooling.cpp.rst
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@ -66,7 +57,11 @@ Orphans
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example_shuffle.cpp.rst
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example_softmax.cpp.rst
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example_sum.cpp.rst
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example_sycl_getting_started.cpp.rst
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example_sycl_interop_buffer.cpp.rst
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example_sycl_interop_usm.cpp.rst
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example_sycl_single_op_partition.cpp.rst
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example_vanilla_rnn.cpp.rst
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example_weights_decompression_matmul.cpp.rst
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page_augru_example_cpp.rst
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page_augru_example_cpp_short.rst
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@ -74,24 +69,37 @@ Orphans
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page_batch_normalization_example_cpp_short.rst
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page_binary_example_cpp.rst
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page_binary_example_cpp_short.rst
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page_bnorm_u8_via_binary_postops_cpp
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page_bnorm_u8_via_binary_postops_cpp_short.rst
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page_cnn_inference_f32_c
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page_cnn_inference_f32_cpp
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page_cnn_inference_int8_cpp
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page_cnn_training_bf16_cpp
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page_cnn_training_f32_cpp
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page_concat_example_cpp.rst
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page_concat_example_cpp_short.rst
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page_convolution_example_cpp.rst
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page_convolution_example_cpp_short.rst
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page_cpu_matmul_csr_cpp
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page_cpu_cnn_training_f32_c
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page_cpu_matmul_coo_cpp
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page_cpu_matmul_weights_compression_cpp
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page_cpu_matmul_csr_cpp
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page_cpu_matmul_quantization_cpp.rst
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page_cpu_matmul_quantization_cpp_short.rst
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page_cpu_matmul_weights_compression_cpp
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page_cpu_rnn_inference_f32_cpp
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page_cpu_rnn_inference_int8_cpp
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page_cpu_sgemm_and_matmul_cpp.rst
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page_cpu_sgemm_and_matmul_cpp_short.rst
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page_dev_guide_attributes_fpmath_mode.rst
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page_cross_engine_reorder_c
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page_cross_engine_reorder_cpp
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page_deconvolution_example_cpp.rst
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page_deconvolution_example_cpp_short.rst
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page_dev_guide_attributes_accumulation_mode.rst
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page_dev_guide_attributes_rounding_mode.rst
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page_dev_guide_attributes_deterministic.rst
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page_dev_guide_attributes_fpmath_mode.rst
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page_dev_guide_attributes_post_ops.rst
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page_dev_guide_attributes_quantization.rst
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page_dev_guide_attributes_rounding_mode.rst
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page_dev_guide_attributes_scratchpad.rst
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page_dev_guide_conventions.rst
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page_dev_guide_dpcpp_interoperability.rst
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@ -104,21 +112,34 @@ Orphans
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page_dev_guide_vtune.rst
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page_eltwise_example_cpp.rst
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page_eltwise_example_cpp_short.rst
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page_getting_started_cpp
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page_gpu_opencl_interop_cpp
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page_graph_cpu_getting_started_cpp.rst
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page_graph_cpu_inference_int8_cpp.rst
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page_graph_cpu_single_op_partition_cpp.rst
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page_graph_gpu_opencl_getting_started_cpp.rst
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page_graph_sycl_getting_started_cpp.rst
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page_graph_sycl_single_op_partition_cpp.rst
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page_group_normalization_example_cpp.rst
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page_group_normalization_example_cpp_short.rst
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page_inference_int8_matmul_cpp.rst
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page_inference_int8_matmul_cpp_short.rst
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page_inner_product_example_cpp.rst
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page_inner_product_example_cpp_short.rst
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page_layer_normalization_example_cpp.rst
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page_layer_normalization_example_cpp_short.rst
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page_lbr_gru_example_cpp.rst
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page_lbr_gru_example_cpp_short.rst
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page_legal_information.rst
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page_group_normalization_example_cpp.rst
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page_group_normalization_example_cpp_short.rst
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page_lrn_example_cpp.rst
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page_lrn_example_cpp_short.rst
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page_lstm_example_cpp.rst
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page_lstm_example_cpp_short.rst
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page_matmul_example_cpp.rst
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page_matmul_example_cpp_short.rst
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page_matmul_perf_cpp.rst
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page_memory_format_propagation_cpp
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page_performance_profiling_cpp
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page_pooling_example_cpp.rst
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page_pooling_example_cpp_short.rst
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page_prelu_example_cpp.rst
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@ -129,12 +150,16 @@ Orphans
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page_reorder_example_cpp_short.rst
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page_resampling_example_cpp.rst
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page_resampling_example_cpp_short.rst
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page_rnn_training_f32_cpp
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page_shuffle_example_cpp.rst
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page_shuffle_example_cpp_short.rst
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page_softmax_example_cpp.rst
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page_softmax_example_cpp_short.rst
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page_sum_example_cpp.rst
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page_sum_example_cpp_short.rst
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page_todo.rst
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page_sycl_interop_buffer_cpp
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page_sycl_interop_usm_cpp.rst
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page_vanilla_rnn_example_cpp.rst
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page_vanilla_rnn_example_cpp_short.rst
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page_weights_decompression_matmul_cpp.rst
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page_weights_decompression_matmul_cpp_short.rst
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@ -236,6 +236,7 @@ def addTocTrees(app, env, docnames):
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'dev_guide_attributes_accumulation_mode.rst',
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'dev_guide_attributes_rounding_mode.rst',
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'dev_guide_attributes_deterministic.rst',
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'dev_guide_attributes_dropout.rst',
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'dev_guide_attributes_quantization.rst',
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'dev_guide_attributes_post_ops.rst',
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'dev_guide_attributes_scratchpad.rst']}
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