* finn-base v0.0.2 (Xilinx#34)

* Modified set_nodeattr to allow using it on repeated fields (Xilinx#18)

* [base]: changed how the floats, ints, strings, tensors, graphs and sparse_tensors field of AttributeProto is set.

* [Core] restrict attributes to tested types

Co-authored-by: Yaman Umuroglu <[email protected]>

* Support for non-square input images and kernels for im2col node (Xilinx#20)

* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node

* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers

* removed unused import

* [base]: added support for writing repeated fields in AttributeProto

* minor style changes

* [im2col, test_im2col]: added support for non-equal padding

* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.

* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests

* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"

This reverts commit 3ff449c

* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."

This reverts commit 15e34ed.

* Revert "[im2col, test_im2col]: added support for non-equal padding"

This reverts commit c524020.

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: minor change in style.

* [Im2Col] style fixes and comments

Co-authored-by: Yaman Umuroglu <[email protected]>

* Update AUTHORS.rst

* Support for non-square input images and kernels in LowerConvsToMatMul transformation (Xilinx#16)

* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node

* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers

* removed unused import

* [base]: added support for writing repeated fields in AttributeProto

* minor style changes

* [im2col, test_im2col]: added support for non-equal padding

* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.

* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests

* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"

This reverts commit 3ff449c

* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."

This reverts commit 15e34ed.

* Revert "[im2col, test_im2col]: added support for non-equal padding"

This reverts commit c524020.

* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: minor change in style.

* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions

* Support for non-square input images and kernels for im2col node (Xilinx#20)

* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node

* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers

* removed unused import

* [base]: added support for writing repeated fields in AttributeProto

* minor style changes

* [im2col, test_im2col]: added support for non-equal padding

* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.

* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests

* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"

This reverts commit 3ff449c

* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."

This reverts commit 15e34ed.

* Revert "[im2col, test_im2col]: added support for non-equal padding"

This reverts commit c524020.

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: minor change in style.

* [Im2Col] style fixes and comments

Co-authored-by: Yaman Umuroglu <[email protected]>

* Update AUTHORS.rst

Co-authored-by: Yaman Umuroglu <[email protected]>

* Added support for dilation value = 2 for 1D and 2D images/kernels (Xilinx#17)

* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node

* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers

* removed unused import

* [base]: added support for writing repeated fields in AttributeProto

* minor style changes

* [im2col, test_im2col]: added support for non-equal padding

* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.

* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests

* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"

This reverts commit 3ff449c

* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."

This reverts commit 15e34ed.

* Revert "[im2col, test_im2col]: added support for non-equal padding"

This reverts commit c524020.

* [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis.
[test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2).
[lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis.
[test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2.

* [lower_convs_to_matmul] removed old assertion
[test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested.

* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim
[test_conv_lowering] changed function call to compute_conv_output_dim

* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: minor change in style.

* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions

* [im2col]: minor style adjustment.
[test_conv_lowering]: merged test functions into one test function.

* Support for non-square input images and kernels for im2col node (Xilinx#20)

* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node

* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers

* removed unused import

* [base]: added support for writing repeated fields in AttributeProto

* minor style changes

* [im2col, test_im2col]: added support for non-equal padding

* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.

* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests

* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"

This reverts commit 3ff449c

* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."

This reverts commit 15e34ed.

* Revert "[im2col, test_im2col]: added support for non-equal padding"

This reverts commit c524020.

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: minor change in style.

* [Im2Col] style fixes and comments

Co-authored-by: Yaman Umuroglu <[email protected]>

* Update AUTHORS.rst

* Support for non-square input images and kernels in LowerConvsToMatMul transformation (Xilinx#16)

* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node

* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers

* removed unused import

* [base]: added support for writing repeated fields in AttributeProto

* minor style changes

* [im2col, test_im2col]: added support for non-equal padding

* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.

* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests

* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"

This reverts commit 3ff449c

* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."

This reverts commit 15e34ed.

* Revert "[im2col, test_im2col]: added support for non-equal padding"

This reverts commit c524020.

* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: minor change in style.

* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions

* Support for non-square input images and kernels for im2col node (Xilinx#20)

* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node

* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers

* removed unused import

* [base]: added support for writing repeated fields in AttributeProto

* minor style changes

* [im2col, test_im2col]: added support for non-equal padding

* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.

* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests

* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"

This reverts commit 3ff449c

* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."

This reverts commit 15e34ed.

* Revert "[im2col, test_im2col]: added support for non-equal padding"

This reverts commit c524020.

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: minor change in style.

* [Im2Col] style fixes and comments

Co-authored-by: Yaman Umuroglu <[email protected]>

* Update AUTHORS.rst

Co-authored-by: Yaman Umuroglu <[email protected]>

Co-authored-by: Yaman Umuroglu <[email protected]>

* Update quantavgpool2d.py (Xilinx#22)

Add  "Copyright (c) 2021 Xilinx, Inc" heather

* [batchnorm_to_affine]: epsilon value is now read out from the attributes. (Xilinx#21)

[test_batchnorm_to_affine]: added a test case for various epsilon values.

* Added 3D to 4D (tensor) transformation (Xilinx#19)

* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels

* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node

* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers

* removed unused import

* [base]: added support for writing repeated fields in AttributeProto

* minor style changes

* [im2col, test_im2col]: added support for non-equal padding

* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.

* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests

* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"

This reverts commit 3ff449c

* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."

This reverts commit 15e34ed.

* Revert "[im2col, test_im2col]: added support for non-equal padding"

This reverts commit c524020.

* [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis.
[test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2).
[lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis.
[test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2.

* [lower_convs_to_matmul] removed old assertion
[test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested.

* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim
[test_conv_lowering] changed function call to compute_conv_output_dim

* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.

* [im2col]: minor fix with assumption on kernel dimension
[lower_convs_to_matmul]: minor fix with assumption on kernel dimension

* [change_3d_tensors_to_4d]: added new transformation that transforms 3D tensors to 4D and changes the nodes accordingly
[test_4d_conversion]: test function for 3D to 4D tensor transformation

* [change_3d_tensors_to_4d]: added new transformation that changes 3D tensors to 4D.
[test_4d_conversion]: added a test case for the 3D to 4D transformation.

* [change_3d_tensors_to_4d]: added 3D to 4D transformation (for QuartzNet).
[test_4d_conversion]: added test case for 3D to 4D transform.

* [change_3d_tensors_to_4d]: changed how an invalid graph is handled.
[test_4d_conversion]: changed the test case for an invalid graph.

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).

* [im2col]: minor change in style.

* [im2col]: minor style change and changed the way how a square kernel is instantiated.

* [test_conv_lowering]: merged tests for depthwise and standard convolutions.

* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions

* [im2col]: minor style adjustment.
[test_conv_lowering]: merged test functions into one test function.

* [change_3d_tensors_to_4d]: style fixes and comments.
[test_4d_converions]: rearranged code.

* [Transform] check invalid node list length

* [change_3d_tensors_to_4d]: rearranged the code to make it more readable.

Co-authored-by: Yaman Umuroglu <[email protected]>

* [Docs] update tutorials

* [Util] experimental: fast_mode data packing for binary (Xilinx#24)

* Generic partitioning feature (Xilinx#23)

* Add basic partitioning functionality

* Mount build dir within docker container

* Support for non-linear models and multi in/out partitions

* Remove dataflowpartition custom op from finn-base

* Fix temporary build dir for CI

* Fix docstring

* [create_generic_partitions]: minor modification, removed redundant output value_info entries. (Xilinx#26)

* [extend_partition]: added a new transformation ExtendPartition. (Xilinx#27)

[test_extend_partition]: added a test case for the new transformation.

* Added support for non-equal strides along different axes (Xilinx#25)

* [im2col]: added support for non-equal strides along different axes and cleaned up the code.
[lower_convs_to_matmul]: added support for non-equal strides along different axes and cleaned up the code.
[test_conv_lowering]: added test case for non-equal strides along different axes.

* [im2col]: minor fix.
[test_im2col]: added test case for non-equal strides along different axes.

* Changes for supporting vitis_hls (Xilinx#28)

* [Refactor] split up RTL/HLS-related utils

* [Util] rename to CallHLS and allow specifying vivado_hls/vitis_hls

* [Util] more flexible stream naming in rtlsim_multi_io

* Changes for supporting non-equal dilation (Xilinx#29)

* added support for non-equal dilation value along (H, W) dimension

* added test cases for non-equal dilation configurations

* appending dilation value along dummy dimension correctly (i.e. with a '1')

* changed tensor sparsity annotation for consistency

* Support infer_datatype for flatten layer (Xilinx#30)

* Support infer_datatype for flatten layer

* [InferDT] add more identity op types for datatype inference

* [Lint] fix linting issues

Co-authored-by: Yaman Umuroglu <[email protected]>

* Update AUTHORS.rst

* Create python-publish.yml

* Add ZCU111 board to part map (Xilinx#32)

* Update AUTHORS.rst

Co-authored-by: Mirza Mrahorovic <[email protected]>
Co-authored-by: jalezeta <[email protected]>
Co-authored-by: Felix Jentzsch <[email protected]>

* Update python-publish.yml

* Update python-publish.yml

* Lint

Co-authored-by: Mirza Mrahorovic <[email protected]>
Co-authored-by: jalezeta <[email protected]>
Co-authored-by: Felix Jentzsch <[email protected]>

* Support infer_datatype for flatten layer

* 3d_to_4d support for additional nodes

* Bugfix

* Add ZCU111 to part map

* Fix ZCU111 part

* Separate PRs

* Bugfix, new test case

…tzsch/finn-base into fpjentzsch-feature/fix_verilator_args