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Searched refs:f2q (Results 1 – 5 of 5) sorted by relevance

/external/tensorflow/tensorflow/core/kernels/
Dquantization_utils.h157 #define QUANTIZE_WITH_EIGEN(input_array, f2q, OutputType) \ argument
158 ((input_array * f2q.range_scale).round() - \
159 (f2q.range_min_scaled - f2q.lowest_quantized())) \
160 .cwiseMax(f2q.lower_bound_float()) \
161 .cwiseMin(f2q.upper_bound_float()) \
684 FloatToQuantizedStruct<T2> f2q(min_output, max_output); in RequantizeManyInNewRangeUsingEigen()
685 auto input_requantized = QUANTIZE_WITH_EIGEN(input_float, f2q, T2); in RequantizeManyInNewRangeUsingEigen()
745 FloatToQuantizedStruct<T> f2q(min, max); in FloatTensorToQuantizedInPlaceUsingEigen()
746 flat_result.device(device) = QUANTIZE_WITH_EIGEN(flat_input, f2q, T); in FloatTensorToQuantizedInPlaceUsingEigen()
838 FloatToQuantizedStruct<T3> f2q(*output_min, *output_max); in QuantizedAddUsingEigen()
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Dquantized_concat_op.cc54 FloatToQuantizedStruct<T> f2q(output_min, output_max); in Copy() local
55 auto input_requantized = QUANTIZE_WITH_EIGEN(input_float, f2q, T); in Copy()
Dquantization_utils_test.cc668 FloatToQuantizedStruct<qint32> f2q(input_min, input_max); in TestOverflowWithEigen() local
671 output.flat<qint32>() = QUANTIZE_WITH_EIGEN(input_array, f2q, qint32); in TestOverflowWithEigen()
/external/tensorflow/tensorflow/core/kernels/mkl/
Dmkl_concat_op.cc76 FloatToQuantizedStruct<T> f2q(output_min, output_max); in Copy() local
80 output_array = QUANTIZE_WITH_EIGEN(input_float, f2q, T); in Copy()
/external/llvm-project/llvm/test/CodeGen/VE/Scalar/
Dcast.ll375 define fp128 @f2q(float) {
376 ; CHECK-LABEL: f2q: