91a8de127d
* Convolution: Enhance dynamic shape inference of validate and infer types method * Convolution: Change onnx test with dynamic shapes to float element type * Convolution: Remove test instances with integer precision * Convolution: Add backticks to types in spec * Convolution: Change element type variable for output element type * GroupConvolution: Add backticks to types in spec * GroupConvolution: Enhance dynamic shape inference of validate and infer types method * GroupConvolution: Remove serialization test instances with integer precision * GroupConvolutionBackpropData: Remove serialization test instances with integer precision * GroupConvolutionBackpropData: Enhance dynamic shape inference of validate and infer types method * Convolution: Add helper function to validate convolution parameters in ref impl * Convolution: Rewrite lambda to capture spatial dims of filters in validate and infer types * GroupConvolution: Refactor reference implementation * Remove call to old implementation of convolution using dilations * Added validation method to validate shapes * GroupConvolutionBackpropData: Add more type_prop unit test and refactor test names * Convolution: Extended validation of convolution parameters in reference implementation * GroupConvolution: Extended validation of group convolution parameters in reference implementation * GroupConvolutionBackpropData: Add helper function to validate convolution backprop parameters in ref impl * Clean up unnecessary lines * BinaryConvolution: Use validate helper function from convolution ref impl * Convolution: Refactor validate and infer types to improve readability * BinaryConvolution: Refactor validate and infer types to improve readability * Convolution: Add explicit tensor shape dims for inputs and outputs in spec * BinaryConvolution: Add explicit tensor shape dims for inputs and outputs in spec * GroupConvolution: Add explicit tensor shape dims for inputs and outputs in spec * Add helper function to infer convolution forward output shape * Convolution: Refactor validate and infer types to use helpers to infer output shape * BinaryConvolution: Refactor validate and infer types to use helpers to infer output shape * GroupConvolutionBackpropData: Fix formula to calculate output shape in validation functions * Remove symbol to export convolution output shape inference function * GroupConvolution: Add validation checks for input channels dim of data batch and filter shape * GroupConvolutionBackpropData: clean up type prop tests * Convolution: Change element type in onnx unit tests with dyn shapes and convolution nodes * GroupConvolutionBackpropData: Correct layout of filters input * GroupConvolution: Deduce groups from inputs shape during output shape inference * Change spec supported types of convolution operations to any numeric type * Revert "GroupConvolution: Remove serialization test instances with integer precision" This reverts commit |
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| .. | ||
| BinaryConvolution_1.md | ||
| ConvolutionBackpropData_1.md | ||
| Convolution_1.md | ||
| DeformableConvolution_1.md | ||
| GroupConvolutionBackpropData_1.md | ||
| GroupConvolution_1.md | ||