| /external/ComputeLibrary/arm_compute/core/ |
| D | QuantizationInfo.h | 228 const int quantized = support::cpp11::lround(value / qinfo.scale) + qinfo.offset; in quantize() local
248 … const int quantized = arm_compute::round(value / qinfo.scale, rounding_policy) + qinfo.offset; in quantize() local
264 … const int quantized = arm_compute::round(value / uqinfo.scale, rounding_policy) + uqinfo.offset; member
331 … int quantized = arm_compute::round(value / qinfo.uniform().scale, RoundingPolicy::TO_NEAREST_UP); in quantize_qsymm8() local
346 …int quantized = arm_compute::round(value / qinfo.scale()[channel_id], RoundingPolicy::TO_NEAREST_U… variable
500 int quantized = arm_compute::round(value / qinfo.scale, rounding_policy); variable
551 int quantized = arm_compute::round(value / qinfo.scale, rounding_policy) + qinfo.offset; variable
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| /external/icing/icing/index/embed/ |
| D | quantizer.h | 64 double quantized = std::round(normalized); in Quantize() local
70 float Dequantize(uint8_t quantized) const { in Dequantize()
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| D | embedding-scorer_test.cc | 32 std::vector<uint8_t> quantized; in QuantizeVector() local
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| /external/pytorch/aten/src/ATen/native/quantized/ |
| D | qlinear_unpack.cpp | 67 TORCH_LIBRARY_IMPL(quantized, CPU, m) { in TORCH_LIBRARY_IMPL() argument
72 TORCH_LIBRARY_IMPL(quantized, CatchAll, m) { in TORCH_LIBRARY_IMPL() argument
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| D | library.cpp | 12 TORCH_LIBRARY(quantized, m) { in TORCH_LIBRARY() argument
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| D | qconv_unpack.cpp | 198 TORCH_LIBRARY_IMPL(quantized, CatchAll, m) { in TORCH_LIBRARY_IMPL() argument
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| /external/pytorch/aten/src/ATen/native/quantized/cpu/ |
| D | qembeddingbag_unpack.cpp | 226 std::uint8_t quantized = input_row[col / NUM_ELEM_PER_BYTE]; in _qembeddingbag_nbit_unpack_helper() local
269 TORCH_LIBRARY_IMPL(quantized, CPU, m) { in TORCH_LIBRARY_IMPL() argument
281 TORCH_LIBRARY_IMPL(quantized, CatchAll, m) { in TORCH_LIBRARY_IMPL() argument
289 TORCH_LIBRARY_IMPL(quantized, Meta, m) { in TORCH_LIBRARY_IMPL() argument
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| D | qembeddingbag_prepack.cpp | 479 std::uint8_t quantized = std::max( in _qembeddingbag_nbit_prepack_helper() local
540 TORCH_LIBRARY_IMPL(quantized, CPU, m) { in TORCH_LIBRARY_IMPL() argument
552 TORCH_LIBRARY_IMPL(quantized, QuantizedCPU, m) { in TORCH_LIBRARY_IMPL() argument
558 TORCH_LIBRARY_IMPL(quantized, Meta, m) { in TORCH_LIBRARY_IMPL() argument
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| D | qdropout.cpp | 17 TORCH_LIBRARY_IMPL(quantized, QuantizedCPU, m) { in TORCH_LIBRARY_IMPL() argument
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| D | qthreshold.cpp | 44 TORCH_LIBRARY_IMPL(quantized, QuantizedCPU, m) { in TORCH_LIBRARY_IMPL() argument
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| D | qelu.cpp | 32 TORCH_LIBRARY_IMPL(quantized, QuantizedCPU, m) { in TORCH_LIBRARY_IMPL() argument
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| D | qhardswish.cpp | 102 TORCH_LIBRARY_IMPL(quantized, QuantizedCPU, m) { in TORCH_LIBRARY_IMPL() argument
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| D | qsigmoid.cpp | 147 TORCH_LIBRARY_IMPL(quantized, QuantizedCPU, m) { in TORCH_LIBRARY_IMPL() argument
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| D | qsoftmax.cpp | 144 TORCH_LIBRARY_IMPL(quantized, QuantizedCPU, m) { in TORCH_LIBRARY_IMPL() argument
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| D | qconv_dynamic.cpp | 216 TORCH_LIBRARY_IMPL(quantized, CPU, m) { in TORCH_LIBRARY_IMPL() argument
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| /external/ComputeLibrary/src/core/NEON/kernels/arm_conv/depthwise/interleaves/ |
| D | generic_quantized_dot_product.hpp | 32 namespace quantized { namespace
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| /external/pytorch/aten/src/ATen/native/vulkan/ops/ |
| D | Convolution.cpp | 63 const bool quantized) { in determine_method()
292 const bool quantized) { in get_shader()
514 const bool quantized, in pack_weights()
549 const bool quantized) { in pack_biases()
608 bool weight_valid(const Tensor& weight, const bool quantized) { in weight_valid()
635 const bool quantized) { in bias_valid()
664 const bool quantized, in available()
715 bool usable(const Tensor& input, const bool quantized) { in usable()
925 const bool quantized, in Conv2dPackedContext()
1123 const auto quantized = in run_conv2d_context_impl() local
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| /external/pytorch/torch/_inductor/ |
| D | quantized_lowerings.py | 26 quantized = torch.ops.quantized variable
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| /external/pytorch/aten/src/ATen/native/quantized/cudnn/ |
| D | LinearPrepack.cpp | 50 TORCH_LIBRARY_IMPL(quantized, QuantizedCUDA, m) { in TORCH_LIBRARY_IMPL() argument
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| /external/armnn/tests/ |
| D | ImagePreprocessor.cpp | 71 std::vector<uint8_t> quantized(resized.size()); in GetTestCaseData() local
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| /external/ComputeLibrary/src/cpu/kernels/elementwise_binary/generic/sve2/ |
| D | impl.h | 76 const auto quantized = svcreate4( in store_quantized() local
90 const auto quantized = svcreate4( in store_quantized() local
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| /external/pytorch/torch/backends/ |
| D | __init__.py | 71 quantized as quantized, unknown
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| /external/executorch/backends/xnnpack/test/ops/ |
| D | conv1d.py | 95 quantized=False, argument
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| /external/tensorflow/tensorflow/python/ops/ |
| D | quantized_conv_ops_test.py | 87 def _QuantizedOutputToFloat(self, quantized, quantized_min, quantized_max): argument
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| /external/armnn/include/armnnUtils/ |
| D | QuantizeHelper.hpp | 107 std::vector<T> quantized; in QuantizedVector() local
|