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Searched refs:pads (Results 1 – 25 of 44) sorted by relevance

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/external/valgrind/exp-bbv/tests/amd64-linux/
Dmillion.S7 xor %rcx,%rcx # not needed, pads total to 1M
8 xor %rax,%rax # not needed, pads total to 1M
/external/tensorflow/tensorflow/compiler/xla/python/
Dxla_client.py733 pads = _convert_padding_type_to_pad_values(
739 window_dimensions, window_strides, pads,
908 pads = _convert_padding_type_to_pad_values(
916 window_dimensions, window_strides, pads))
1032 pads = _convert_padding_type_to_pad_values(
1040 pads,
Dxla_client_test.py501 pads = [(1, 0), (0, 1)]
505 strides, pads, lhs_dilation, rhs_dilation)
/external/kernel-headers/original/uapi/linux/
Dmedia.h205 __u16 pads; member
293 struct media_pad_desc __user *pads; member
/external/llvm/test/CodeGen/X86/
Deh-nolandingpads.ll3 ; even if no landing pads are left.
Dbranchfolding-landingpads.ll8 ; That will be a landing pad and result in 'entry' jumping to 2 landing pads.
/external/valgrind/exp-bbv/tests/x86/
Dmillion.S9 xor %ecx,%ecx # not needed, pads total to 1M
/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_PaddedBatchDataset.pbtxt26 summary: "Creates a dataset that batches and pads `batch_size` elements from the input."
Dapi_def_Pad.pbtxt5 This operation pads a `input` with zeros according to the `paddings` you
Dapi_def_AsString.pbtxt34 The value to pad if width > -1. If empty, pads with spaces.
Dapi_def_PadV2.pbtxt5 This operation pads `input` according to the `paddings` and `constant_values`
Dapi_def_MirrorPad.pbtxt34 This operation pads a `input` with mirrored values according to the `paddings`
Dapi_def_SpaceToBatch.pbtxt103 Zero-pads and then rearranges (permutes) blocks of spatial data into batch.
/external/llvm/docs/
DExceptionHandling.rst154 exception is called a *landing pad*. LLVM landing pads are conceptually
306 In order for inlining to behave correctly, landing pads must be prepared to
312 ``A``, it's in for a rude awakening. Consequently, landing pads must test for
615 The following new instructions are considered "exception handling pads", in that
800 * Any of these pads is exited when control unwinds to the function's caller,
804 * Any of these pads is exited when an unwind edge (from an ``invoke``,
812 A single unwind edge may exit any number of pads (with the restrictions that
815 exactly one pad, which must be distinct from all the exited pads. The parent
817 not-yet-exited pad (after exiting from any pads that the unwind edge exits),
839 Finally, the funclet pads' unwind destinations cannot form a cycle. This
/external/llvm/test/Transforms/SimplifyCFG/
Dduplicate-landingpad.ll79 ; Should not trigger when the landing pads are not the exact same
/external/swiftshader/third_party/LLVM/test/Transforms/Inline/
Dinline_invoke.ll114 ;; Test 1 - Correctly handle phis in outer landing pads.
223 ;; Test 2 - Don't make invalid IR for inlines into landing pads without eh.exception calls
/external/llvm/test/Transforms/Inline/
Dinline_invoke.ll114 ;; Test 1 - Correctly handle phis in outer landing pads.
223 ;; Test 2 - Don't make invalid IR for inlines into landing pads without eh.exception calls
/external/llvm/test/Verifier/
Dinvalid-eh.ll310 ;T18: ; CHECK18: EH pads can't handle each other's exceptions
339 ;T19: ; CHECK19: EH pads can't handle each other's exceptions
432 ;T25: ; CHECK25: EH pad jumps through a cycle of pads
/external/freetype/include/freetype/internal/
Dtttypes.h571 FT_Char pads[2]; member
/external/tensorflow/tensorflow/contrib/tensorrt/convert/
Dconvert_nodes.cc1292 TRT_ShapedWeights pads = inputs.at(1).weights(); in ConvertPad() local
1300 if (pads.shape_.d[0] != nb_dims || pads.shape_.d[1] != 2) in ConvertPad()
1309 auto pad_data = static_cast<int*>(const_cast<void*>(pads.GetValues())); in ConvertPad()
/external/syslinux/txt/
Disolinux.txt60 boot in hybrid mode. It also pads out the image to an even multiple
/external/syslinux/doc/
Disolinux.txt92 boot in hybrid mode. It also pads out the image to an even multiple
/external/python/cpython2/Doc/howto/
Dcurses.rst197 that difference, pads are exactly like ordinary windows and support the same
200 If you have multiple windows and pads on screen there is a more efficient way to
/external/python/cpython3/Doc/library/
Dbase64.rst173 before encoding. Note that the ``btoa`` implementation always pads.
/external/llvm/test/Transforms/GVN/
Dpre-load.ll397 ; Test that loads aren't PRE'd into EH pads.

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