1. 20 Aug, 2019 3 commits
    • Nishant Patel's avatar
      Add QuantizedDot to ngraph core (#3235) · 79041d19
      Nishant Patel authored
      * First pass, remove QDot as experimental op, add it as core op, test case failing
      
      * Change QuantizedMatmul API
      
      * Tests for QuantizedDot passing, cleanup required
      
      * Move test cases to backend_test.in.cpp
      
      * Change reference dot API to take scale and zero point
      
      * Onnx matmul integer tests passing
      
      * Add validate_and_infer_types()
      
      * Add more checks for QDot
      
      * Add type prop tests
      
      * Add interpreter support
      
      * Add serializer support
      
      * Disable tests in other backends
      
      * Fix test and add codegen support
      
      * Make axes optional argument
      
      * Change fusion pattern
      
      * Copyright
      
      * merge changes
      
      * more merge changes
      
      * Fix more merge conflicts
      
      * change builders to reflect new changes
      
      * cleanup
      
      * Add reduction_axes to the API
      
      * Fix onnx test cases
      
      * Remove debug comments
      
      * Fix CI
      
      * disable plaidml tests
      
      * Remove comment
      79041d19
    • Adam Procter's avatar
      1bc0a299
    • Robert Kimball's avatar
      Did a batch normalization of the BatchNorm unit test names (#3439) · 152e99d8
      Robert Kimball authored
      * Normalize BatchNorm test names
      
      * unit test renamed so manifest must be updated
      152e99d8
  2. 19 Aug, 2019 2 commits
    • Mateusz Bencer's avatar
      [Spec][Fused] Adjust op Normalize (#3406) · 5ed2c588
      Mateusz Bencer authored
      * Changed name from Normalize to Normalize2
      
      * Changed name from Normalize to Normalize2 in tests
      
      * Changed name of normalize source files
      
      * Removed across spatial and channel shared params
      
      * Removed scale and introduced input axes
      
      * Support for axes input was introduced
      
      * Added possibility to choose method of bias using
      
      * Clang style applied
      
      * Code review remarks introduced
      
      * Code review remarks introduced
      
      * Added python script to generate normalize_l2 test data
      5ed2c588
    • Mateusz Bencer's avatar
      [Spec] Adjust op Proposal (#3419) · 47dc073e
      Mateusz Bencer authored
      * Changed required image_shape type from u64 to float
      
      * Proposal op was adjusted
      
      * Clang styles applied
      
      * Added missing new line
      
      * Fixed problem with narrowing conversion
      
      * Code review remarks
      
      * Removed checking types of Proposal input params
      
      * Removed unused input element type variables
      47dc073e
  3. 15 Aug, 2019 1 commit
  4. 14 Aug, 2019 1 commit
    • Mateusz Bencer's avatar
      [Spec] Add axes input to LRN (#3374) · 83611106
      Mateusz Bencer authored
      * Axes input was added to LRN
      
      * Unit tests for axes shape check were added
      
      * LRN node deserialization was updated
      
      * Fixed EOF and clang style applied
      
      * Changed Constant to Parameter type in unit tests
      
      * Fixed LRN assert description
      
      * Fixed copy_with_new_args
      
      * Clang style applied
      83611106
  5. 07 Aug, 2019 1 commit
  6. 01 Aug, 2019 1 commit
  7. 19 Jul, 2019 1 commit
  8. 16 Jul, 2019 1 commit
    • Adam Rogowiec's avatar
      [ONNX] Use nGraph auto padding in ONNX operators. (#3175) · 599f0f21
      Adam Rogowiec authored
      * Helper function converting ONNX auto_pad into nGraph PadType.
      
      Separate auto_pad support from explicitly provided paddings.
      
      * Add support for more PadType values for GroupConvolutionTranspose.
      
      * Pass auto_pad attribute value to nGraph operator.
      
      * Helper class for generating ONNX pooling operators.
      
      * Pass auto pad type to nGraph Convolution operator.
      
      * Use pooling factory.
      
      * Helper function calculating pads taking into account auto_pad attribute.
      
      * Fix attribute type in UT ONNX models.
      
      * Take auto_pad attribute value into account.
      
      * Rename helper function and update doc.
      
      * Retain old API for GroupConvoloutionTranspose
      
      * Remove PadType::INVALID and use other approach to validate auto_pad
      value.
      
      * Style apply.
      
      * Fix clang err on documentation style.
      
      * Refactor get_auto_pad method.
      
      * Fix segfaults on CentOS 7.
      
      When using const reference the node member m_attributes had invalid
      data.
      599f0f21
  9. 15 Jul, 2019 1 commit
    • Adam Procter's avatar
      Split up type_prop.cpp (#3210) · 579e44b8
      Adam Procter authored
      * Start splitting type_prop.cpp (just a few for now, to get feedback on general pattern)
      
      * Split out some more type_prop stuff
      
      * A bunch more
      
      * Move one test out of type_prop into build_graph
      
      * Split Reverse from ReverseSequence (oops), and fix a typo I noticed in dyn_reshape.cpp
      
      * fix EOF newline
      
      * Style.
      
      * Add newline at eof.
      579e44b8