| /external/tensorflow/tensorflow/core/kernels/ |
| quantization_utils.cc | 20 void GetOutputMinAndMaxForQuantizedAdd(float input_min, float input_max,
36 std::max(input_max, std::max(-input_min, std::max(smaller_input_max,
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| quantized_activation_ops_test.cc | 46 const float input_max = 127.0f; local
52 FloatTensorToQuantized<quint8>(input_float, input_min, input_max);
59 AddInputFromArray<float>(TensorShape({1}), {input_max});
77 const float input_max = 127.0f; local
83 FloatTensorToQuantized<quint8>(input_float, input_min, input_max);
90 AddInputFromArray<float>(TensorShape({1}), {input_max});
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| quantized_pooling_ops_test.cc | 52 const float input_max = 255.0f; local
62 FloatTensorToQuantized<quint8>(input_float, input_min, input_max);
73 AddInputFromArray<float>(TensorShape({1}), {input_max});
97 const float input_max = 255.0f; local
107 FloatTensorToQuantized<quint8>(input_float, input_min, input_max);
118 AddInputFromArray<float>(TensorShape({1}), {input_max});
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| mkl_requantization_range_per_channel_op.cc | 47 const Tensor& input_max = ctx->input(kInputMaxIndex); variable
49 const size_t depth = input_max.NumElements();
55 ctx, input_max.dim_size(0) == depth,
56 errors::InvalidArgument("input_max has incorrect size, expected ",
57 depth, " was ", input_max.dim_size(0)));
60 const float* input_max_data = input_max.flat<float>().data();
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| quantized_bias_add_op_test.cc | 52 const float input_max = 60.0f; local
59 FloatTensorToQuantized<quint8>(input_float, input_min, input_max);
78 AddInputFromArray<float>(TensorShape({1}), {input_max});
102 const float input_max = 2006.27f; local
119 FloatTensorToQuantized<quint8>(input_float, input_min, input_max);
160 AddInputFromArray<float>(TensorShape({1}), {input_max});
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| quantized_bias_add_op.cc | 42 const float input_max = context->input(3).flat<float>()(0); variable
71 GetOutputMinAndMaxForQuantizedAdd(input_min, input_max, bias_min,
75 bias_ui8_array.size(), input_min, input_max,
81 input_max, bias, bias_min, bias_max, output, &total_min, &total_max);
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| meta_support.h | 75 // Take an array of numbers from the range [input_min, input_max] quantized
80 float input_min, float input_max, float output_min,
94 // [input_min, input_max], and [bias_min, bias_max] accordingly, as uint8
100 float input_min, float input_max, float bias_min,
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| quantization_utils_test.cc | 35 float input_max, float output_min, float output_max,
43 QuantizedToFloat(values_quantized[value_index], input_min, input_max),
55 input_max, output_min, output_max,
59 *eigen_device, i_tensor, input_min, input_max, output_min, output_max,
71 << ", input_max=" << input_max << ", output_min=" << output_min
76 void TestRequantizeMany8To32Bit(float input_min, float input_max,
85 QuantizedToFloat(values_quantized[value_index], input_min, input_max),
96 input_max, output_min, output_max,
107 << ", input_max=" << input_max << ", output_min=" << output_mi
231 const float input_max = ranges[range_index][1]; local
283 const float input_max = 100.0f; local
526 const float input_max = ranges[range_index][1]; local
548 const float input_max = 0.641057f; local
583 const float input_max = ranges[range_index][1]; local
626 const float input_max = 255.0f; local
656 const float input_max = 2400.0f; local
679 const float input_max = 127.0f; local
[all...] |
| mkl_quantized_pooling_ops_test.cc | 82 const float input_max = 255.0f; local
92 FloatTensorToQuantized<quint8>(input_float, input_min, input_max);
111 AddInputFromArray<float>(TensorShape({1}), {input_max});
151 const float input_max = 255.0f; local
161 FloatTensorToQuantized<quint8>(input_float, input_min, input_max);
179 AddInputFromArray<float>(TensorShape({1}), {input_max});
|
| quantized_batch_norm_op.cc | 32 const float input_max, const Tensor& mean,
57 QuantizedToFloat(input_flat(input_index), input_min, input_max);
95 const float input_max, const Tensor& mean,
151 input_max, *output_min, *output_max);
177 const float input_max = context->input(2).flat<float>()(0); variable
212 FixedPointBatchNorm<T1, T2>(input, input_min, input_max, mean, mean_min,
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| quantized_batch_norm_op_test.cc | 62 const float input_max = 127.0f; local
72 FloatTensorToQuantized<quint8>(input_float, input_min, input_max);
101 AddInputFromArray<float>(TensorShape({1}), {input_max});
159 const float input_max = 127.0f; local
169 FloatTensorToQuantized<quint8>(input_float, input_min, input_max);
198 AddInputFromArray<float>(TensorShape({1}), {input_max});
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| quantized_concat_op.cc | 42 const float input_max = (*input_min_and_max)[input_index].second; local
43 if (input_min == output_min && input_max == output_max) {
52 QuantizedToFloatStruct<T> q2f(input_min, input_max);
88 const float input_max = input_maxes[i].flat<float>()(0); local
89 input_mins_and_maxes->emplace_back(input_min, input_max);
91 overall_max = std::max(overall_max, input_max);
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| quantize_and_dequantize_op.h | 115 auto input_max = input_max_tensor->scalar<T>(); local
118 input_max.device(d) = input.maximum();
120 d.memcpyDeviceToHost(&max_range, input_max.data(), sizeof(T));
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| meta_support.cc | 257 float input_min, float input_max, float output_min,
272 CalculateRangeScale<int32_t>(input_min, input_max);
348 float input_min, float input_max, float bias_min,
366 CalculateRangeScale<uint8_t>(input_min, input_max);
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| quantized_instance_norm.cc | 278 float input_max = context->input(2).flat<float>()(0); variable
279 float input_scale = (input_max - input_min) / 255.0f;
281 OP_REQUIRES(context, input_min < input_max,
283 "input_min must be less than input_max : ", input_min,
284 " >= ", input_max));
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| quantization_utils.h | [all...] |
| /external/tensorflow/tensorflow/lite/experimental/micro/kernels/ |
| fully_connected_test.cc | 103 std::initializer_list<uint8_t> input_data, float input_min, float input_max,
122 input_max),
267 const float input_max = 64.0f; local
280 F2Q(1, input_min, input_max), F2Q(2, input_min, input_max),
281 F2Q(3, input_min, input_max), F2Q(4, input_min, input_max),
282 F2Q(5, input_min, input_max), F2Q(6, input_min, input_max),
283 F2Q(7, input_min, input_max), F2Q(8, input_min, input_max)
338 const float input_max = 64.0f; local
409 const float input_max = 128.0f; local
506 const float input_max = 64.0f; local
577 const float input_max = 128.0f; local
[all...] |
| depthwise_conv_test.cc | 110 std::initializer_list<uint8_t> input_data, float input_min, float input_max,
129 input_max),
229 const float input_max = 64.0f; local
243 F2Q(1, input_min, input_max),
244 F2Q(2, input_min, input_max),
245 F2Q(7, input_min, input_max),
246 F2Q(8, input_min, input_max),
247 F2Q(3, input_min, input_max),
248 F2Q(4, input_min, input_max),
249 F2Q(9, input_min, input_max),
337 const float input_max = 64.0f; local
416 const float input_max = 255.0f; local
[all...] |
| softmax_test.cc | 91 float input_min, float input_max,
105 input_max),
192 const float input_max = 64.0f; local
200 F2Q(1.0, input_min, input_max),
201 F2Q(2.0, input_min, input_max),
202 F2Q(3.0, input_min, input_max),
203 F2Q(4.0, input_min, input_max),
204 F2Q(5.0, input_min, input_max),
206 input_min, input_max, // Input quantized range.
|
| /external/webrtc/webrtc/modules/audio_coding/neteq/ |
| merge.h | 76 int16_t* expanded_max, int16_t* input_max) const;
87 size_t CorrelateAndPeakSearch(int16_t expanded_max, int16_t input_max,
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| merge.cc | 66 int16_t expanded_max, input_max; local
69 &expanded_max, &input_max);
92 expanded_max, input_max, old_length,
208 int16_t* expanded_max, int16_t* input_max) const {
213 *input_max = WebRtcSpl_MaxAbsValueW16(input, mod_input_length);
228 WebRtcSpl_NormW32(*input_max * *input_max);
310 size_t Merge::CorrelateAndPeakSearch(int16_t expanded_max, int16_t input_max,
318 if (expanded_max * input_max > 26843546) {
|
| /external/tensorflow/tensorflow/core/graph/ |
| quantize_training.cc | 55 float input_max; member in struct:tensorflow::__anon45051::EdgeToConvert
64 input_max(max) {}
80 bool* range_given, float* input_min, float* input_max) {
96 *input_max = 6;
101 *input_max = 1;
106 *input_max = 1;
114 input_max);
124 input_max);
505 Node** input_max) {
507 // Make constant nodes for the input_min and input_max if the range i
541 Node* input_max; local
635 float input_max = 0; local
[all...] |
| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| fake_quantize_ops.cc | 100 float input_min, input_max; local
102 OP_REQUIRES_OK(ctx, ctx->GetAttr("max", &input_max));
103 CpuNudge(input_min, input_max, quant_min_, quant_max_, &nudged_input_min_,
148 float input_min, input_max, scale; local
150 OP_REQUIRES_OK(ctx, ctx->GetAttr("max", &input_max));
151 CpuNudge(input_min, input_max, quant_min, quant_max, &nudged_input_min_,
203 xla::XlaOp input_max = ctx->Input(2); variable
207 XlaNudge(b, data_type, input_min, input_max, quant_min_, quant_max_,
246 xla::XlaOp input_max = ctx->Input(3); variable
250 XlaNudge(b, data_type, input_min, input_max, quant_min_, quant_max_
[all...] |
| /external/tensorflow/tensorflow/compiler/tests/ |
| fake_quant_ops_test.py | 82 def _TestOp(self, input_min, input_max, num_bits, narrow_range,
117 max=input_max,
180 def _TestOp(self, input_min, input_max, num_bits, narrow_range,
211 max=input_max,
281 def _TestOp(self, input_min, input_max, num_bits, narrow_range,
325 max_placeholder: input_max
386 def _TestOp(self, input_min, input_max, num_bits, narrow_range,
429 max_placeholder: input_max
|
| /external/tensorflow/tensorflow/compiler/xla/client/lib/ |
| arithmetic.cc | 142 XlaOp input_max = Reduce(input, init_value, reducer,
149 ConvertElementType(Eq(input, input_max, broadcast_dims), output_type);
|
