Searched refs:Ac (Results 1 – 25 of 119) sorted by relevance
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84 template <FusedActivationFunctionType Ac>92 GetActivationMinMax(Ac, &output_activation_min, &output_activation_max); in DepthwiseConv()100 template <FusedActivationFunctionType Ac>106 DepthwiseConv<Ac>(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv()165 template <FusedActivationFunctionType Ac>175 if (Ac == FusedActivationFunctionType::kNone) { in DepthwiseConv()188 template <FusedActivationFunctionType Ac>198 DepthwiseConv<Ac>(input_data, input_dims, input_offset, filter_data, in DepthwiseConv()231 template <FusedActivationFunctionType Ac>240 GetActivationMinMax(Ac, &output_activation_min, &output_activation_max); in Conv()[all …]
68 const SparseMatrix<float>& Ac(A); in call_ref() local82 VERIFY_EVALUATION_COUNT( call_ref_2(Ac,Ac), 0); in call_ref()83 VERIFY_EVALUATION_COUNT( call_ref_3(Ac,Ac), 0); in call_ref()84 VERIFY_EVALUATION_COUNT( call_ref_2(A+A,2*Ac), 1); in call_ref()85 VERIFY_EVALUATION_COUNT( call_ref_3(A+A,2*Ac), 1); in call_ref()
550 template <FusedActivationFunctionType Ac>557 static_assert(Ac == FusedActivationFunctionType::kNone ||558 Ac == FusedActivationFunctionType::kRelu ||559 Ac == FusedActivationFunctionType::kRelu6 ||560 Ac == FusedActivationFunctionType::kRelu1,668 if (Ac == FusedActivationFunctionType::kRelu) {672 } else if (Ac == FusedActivationFunctionType::kRelu6) {677 } else if (Ac == FusedActivationFunctionType::kRelu1) {691 if (Ac == FusedActivationFunctionType::kRelu) {693 } else if (Ac == FusedActivationFunctionType::kRelu6) {[all …]
185 template <FusedActivationFunctionType Ac>193 GetActivationMinMax(Ac, &output_activation_min, &output_activation_max); in DepthwiseConv()201 template <FusedActivationFunctionType Ac>207 DepthwiseConv<Ac>(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv()339 template <FusedActivationFunctionType Ac>349 if (Ac == FusedActivationFunctionType::kNone) { in DepthwiseConv()362 template <FusedActivationFunctionType Ac>372 DepthwiseConv<Ac>(input_data, input_dims, input_offset, filter_data, in DepthwiseConv()618 template <FusedActivationFunctionType Ac>624 GetActivationMinMax(Ac, &output_activation_min, &output_activation_max); in AddBiasAndEvalActivationFunction()[all …]
29 MatrixXcmp Ac = MatrixXcmp::Random(s,s); in test_mpreal_support() local31 MatrixXcmp Sc = Ac.adjoint() * Ac; in test_mpreal_support()
148 ComplexMatrix Ac = A.template cast<ComplexScalar>(); in testGonioFunctions() local150 ComplexMatrix exp_iA = (imagUnit * Ac).exp(); in testGonioFunctions()151 ComplexMatrix exp_miA = (-imagUnit * Ac).exp(); in testGonioFunctions()
35 …��%��Q��Q��}������ۮ��Mgc3�I|�Β��������������U��?ū Q*WAc&`r.�}1��4��7�r3�v7��3y}/Y&-I8(AQ'Ac&8W…36 …@�8�Y�A����Ac� W�Q�IW�%ı�������������n�A�vQӮ~��z��|�ׅ�ք���ւ�ؠ����E�vE�rE�rF�vF�}F��H��F��F��…37 …�Q.�8�A�Q�Q�I�YI�0�I�A�Yo�y��n��0W�Qo�I8�n�}&�`�0�`o�gv�sr͈}�}}�Ac�A�A�`xYr �}c���…38 …����������䛡��AQ�}��������s��`c~gcz`WzQ@wIIwIQtI]pAQ_AIYAIS8.Q88Q8.]0Q]8QS0@YY]h��Ac%.880&8I&
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34 73Ac/2YIKKVlPyhTuDA18lve4M89Sas+5fxUC9TBKqqQc3Wta3ny8kKKL+1dZ8jgcRd7Z8
410 ; Ac Bc Ab Bb Aa Ba A9 B9 A8 B8 A7 B7 A6 B6 A5 B5411 ; Ad Bd Ac Bc Ab Bb Aa Ba A9 B9 A8 B8 A7 B7 A6 B6412 ; Ae Be Ad Bd Ac Bc Ab Bb Aa Ba A9 B9 A8 B8 A7 B7413 ; Af Bf Ae Be Ad Bd Ac Bc Ab Bb Aa Ba A9 B9 A8 B8414 ; Ag Bg Af Bf Ae Be Ad Bd Ac Bc Ab Bb Aa Ba A9 B9
70 When the -Ac flag is specified, error messages, that would normally fail73 described as passed with warning. if the -Ac is not used, the the same118 use of -A, continue on error, is now the option -Ac. -Aw will allow for
630 %Ac = bitcast i32* %A to i8*631 call void @llvm.lifetime.start.p0i8(i64 4, i8* nonnull %Ac)635 call void @llvm.memcpy.p0i8.p0i8.i64(i8* nonnull align 4 %Ac, i8* align 4 %Qc, i64 4, i1 false)636 call void @llvm.memcpy.p0i8.p0i8.i64(i8* align 4 %Pc, i8* nonnull align 4 %Ac, i64 4, i1 true)637 call void @llvm.lifetime.end.p0i8(i64 4, i8* nonnull %Ac)
22 ak{"Acáinis"}23 akk{"Acáidis"}499 Xsux{"Dingchruthach Suiméar-Acádach"}
67 template <FusedActivationFunctionType Ac>70 GetActivationMinMax(Ac, &output_activation_min, &output_activation_max); in ActivationFunction()
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1id=ImageMagick 2class=DirectClass matte=False 3columns=70 rows=46 depth ...
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