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  /external/tensorflow/tensorflow/contrib/quantize/python/
quantize.py 23 from tensorflow.contrib.quantize.python import common
24 from tensorflow.contrib.quantize.python import graph_matcher
25 from tensorflow.contrib.quantize.python import input_to_ops
26 from tensorflow.contrib.quantize.python import quant_ops
42 def Quantize(graph,
69 # Quantize the weights.
83 # Quantize the activations.
102 # Quantize the inputs and output to the bypass (if it exists). The input to
129 """Matches layers in graph to quantize.
  /external/gemmlowp/doc/
quantization_example.cc 133 void Quantize(const QuantizationParams& qparams, const std::vector<float>& src,
326 Quantize(lhs_qparams, float_lhs.Storage(), &uint8_lhs.Storage());
327 Quantize(rhs_qparams, float_rhs.Storage(), &uint8_rhs.Storage());
  /external/gemmlowp/meta/generators/
transform_kernels_common.py 160 emitter.EmitComment('Quantize::Prepare')
176 emitter.EmitComment('Quantize::Transform')
367 class Quantize(BaseTransform):
371 BaseTransform.__init__(self, cc_emitter, 'Quantize', asm_emitter,
569 quantize = Quantize(cc_emitter, asm_emitter)
579 quantize.SpecializeTransform1DKernel('float', 'uint8_t', shape[0], shape[1])
  /external/gemmlowp/meta/
transform_kernels.h 23 struct Quantize {
71 class Transform1DKernel<InType, OutType, Quantize, kernel_size, leftovers> {
73 static void Transform(const InType* in, const Quantize& params,
77 std::cout << "Quantize::Transform(" << std::string(typeid(InType).name())
82 std::cerr << "FATAL: Quantize::Transform not implemented." << std::endl;
164 class Transform1DUtil<InType, OutType, Quantize> {
166 static int EstimateComputeCost(const Quantize& params) {
170 static const InType* OffsetInput(const Quantize& params, const InType* input,
175 static OutType* OffsetOutput(const Quantize& params, OutType* output,
  /external/mesa3d/src/gallium/drivers/swr/rasterizer/jitter/
blend_jit.cpp 218 void Quantize(SWR_FORMAT format, Value* src[4])
615 // Quantize low precision components
616 Quantize(state.format, dst);
  /external/tensorflow/tensorflow/compiler/tf2xla/kernels/
fake_quantize_ops.cc 71 xla::ComputationDataHandle Quantize(
124 xla::ComputationDataHandle output = Quantize(
217 xla::ComputationDataHandle output = Quantize(
  /external/tensorflow/tensorflow/contrib/lite/kernels/
test_util.h 38 inline std::vector<T> Quantize(const std::vector<float>& data, float scale,
132 auto q = Quantize<T>(data, t->params.scale, t->params.zero_point);
  /external/tensorflow/tensorflow/core/kernels/
meta_support.cc 316 void Quantize(OpKernelContext* tf_context, const float* input, int count,
321 gemmlowp::meta::Quantize>
342 LOG(FATAL) << "Quantize: Meta fastpath not supported.";

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