| /external/tensorflow/tensorflow/lite/kernels/ |
| D | table_test.cc | 68 inline float GetLUTTolerance(float input_min, float input_max, float output_min, in GetLUTTolerance() argument
74 const float range_sum = (input_max - input_min) + (output_max - output_min); in GetLUTTolerance()
87 float input_max = 0.8f; in TableWithExpLUTToInt8Test() local
91 input_max = 0.8f * std::numeric_limits<InputT>::max() / in TableWithExpLUTToInt8Test()
105 GetLUTTolerance<TableT>(input_min, input_max, output_min, output_max); in TableWithExpLUTToInt8Test()
108 TableOpModel m({GetTensorType<InputT>(), {1, 2, 3, 1}, input_min, input_max}, in TableWithExpLUTToInt8Test()
115 [](float v) { return std::exp(v) - 1.204706f; }, input_min, input_max, in TableWithExpLUTToInt8Test()
134 float input_max = 0.8f; in TableWithExpLUTToInt16Test() local
138 input_max = 0.8f * std::numeric_limits<InputT>::max() / in TableWithExpLUTToInt16Test()
152 GetLUTTolerance<TableT>(input_min, input_max, output_min, output_max); in TableWithExpLUTToInt16Test()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | quantization_utils_test.cc | 35 float input_max, float output_min, float output_max, in TestRequantizeMany() argument
43 QuantizedToFloat(values_quantized[value_index], input_min, input_max), in TestRequantizeMany()
55 input_max, output_min, output_max, in TestRequantizeMany()
59 *eigen_device, i_tensor, input_min, input_max, output_min, output_max, in TestRequantizeMany()
71 << ", input_max=" << input_max << ", output_min=" << output_min in TestRequantizeMany()
76 void TestRequantizeMany8To32Bit(float input_min, float input_max, in TestRequantizeMany8To32Bit() argument
85 QuantizedToFloat(values_quantized[value_index], input_min, input_max), in TestRequantizeMany8To32Bit()
96 input_max, output_min, output_max, in TestRequantizeMany8To32Bit()
107 << ", input_max=" << input_max << ", output_min=" << output_min in TestRequantizeMany8To32Bit()
231 const float input_max = ranges[range_index][1]; in TestRequantizeManyInNewRangeEigenVsNonEigen() local
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| D | quantized_activation_ops_test.cc | 46 const float input_max = 127.0f; in TEST_F() local
52 FloatTensorToQuantized<quint8>(input_float, input_min, input_max); in TEST_F()
59 AddInputFromArray<float>(TensorShape({}), {input_max}); in TEST_F()
77 const float input_max = 127.0f; in TEST_F() local
83 FloatTensorToQuantized<quint8>(input_float, input_min, input_max); in TEST_F()
90 AddInputFromArray<float>(TensorShape({}), {input_max}); in TEST_F()
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| D | quantized_pooling_ops_test.cc | 52 const float input_max = 255.0f; in TEST_F() local
62 FloatTensorToQuantized<quint8>(input_float, input_min, input_max); in TEST_F()
73 AddInputFromArray<float>(TensorShape({}), {input_max}); in TEST_F()
97 const float input_max = 255.0f; in TEST_F() local
107 FloatTensorToQuantized<quint8>(input_float, input_min, input_max); in TEST_F()
118 AddInputFromArray<float>(TensorShape({}), {input_max}); in TEST_F()
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| D | quantized_bias_add_op_test.cc | 52 const float input_max = 60.0f; in TEST_F() local
59 FloatTensorToQuantized<quint8>(input_float, input_min, input_max); in TEST_F()
78 AddInputFromArray<float>(TensorShape({}), {input_max}); in TEST_F()
102 const float input_max = 2006.27f; in TEST_F() local
119 FloatTensorToQuantized<quint8>(input_float, input_min, input_max); in TEST_F()
160 AddInputFromArray<float>(TensorShape({}), {input_max}); in TEST_F()
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| D | quantize_and_dequantize_op.h | 68 typename TTypes<T>::ConstScalar input_max,
190 auto input_max = input_max_tensor->scalar<T>(); in Compute() local
193 input_max.device(d) = input.maximum(); in Compute()
195 d.memcpyDeviceToHost(&max_range, input_max.data(), sizeof(T)); in Compute()
231 auto input_max = input_max_tensor->vec<T>(); in Compute() local
238 input_max.device(d) = input.maximum(reduce_dims); in Compute()
241 d.memcpyDeviceToHost(max_range.data(), input_max.data(), in Compute()
275 typename TTypes<T>::ConstScalar input_max, in Compute()
280 const T max_val = input_max(); in Compute()
302 auto input_max = input_max_tensor->vec<T>(); in Compute() local
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| D | requantize.cc | 45 const Tensor& input_max = ctx->input(2); in Compute() local
53 ctx, TensorShapeUtils::IsScalar(input_max.shape()), in Compute()
55 input_max.dims())); in Compute()
66 const float input_max_float = input_max.flat<float>()(0); in Compute()
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| D | quantize_down_and_shrink_range.cc | 44 const Tensor& input_max = ctx->input(2); in Compute() local
51 ctx, TensorShapeUtils::IsScalar(input_max.shape()), in Compute()
53 input_max.dims())); in Compute()
56 const float input_max_float = input_max.scalar<float>()(); in Compute()
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| D | quantized_batch_norm_op_test.cc | 61 const float input_max = 127.0f; in TEST_F() local
71 FloatTensorToQuantized<quint8>(input_float, input_min, input_max); in TEST_F()
100 AddInputFromArray<float>(TensorShape({1}), {input_max}); in TEST_F()
158 const float input_max = 127.0f; in TEST_F() local
168 FloatTensorToQuantized<quint8>(input_float, input_min, input_max); in TEST_F()
197 AddInputFromArray<float>(TensorShape({1}), {input_max}); in TEST_F()
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_QuantizeAndDequantizeV2.pbtxt | 18 name: "input_max"
92 If range_given == False, the initial input_min, input_max will be determined
94 the specified values of input_min, input_max are used.
96 Note: If the input_min, input_max are specified, they do not need to equal the
102 [input_min, input_max] range to a range that lies within the representable
105 It determines the scale from one of input_min and input_max, then updates the
110 * if the output is signed, num_bits = 8, [input_min, input_max] = [-10.0,
112 would update input_max to be 127 / 12.8 = 9.921875
113 * if the output is signed, num_bits = 8, [input_min, input_max] = [-10.0,
117 specified input_max is used.
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| /external/tensorflow/tensorflow/core/common_runtime/ |
| D | quantize_training.cc | 53 float input_max; member
62 input_max(max) {} in EdgeToConvert()
78 bool* range_given, float* input_min, float* input_max) { in FindType() argument
94 *input_max = 6; in FindType()
99 *input_max = 1; in FindType()
104 *input_max = 1; in FindType()
112 input_max); in FindType()
122 input_max); in FindType()
503 Node** input_max) { in MakeInputMinMax() argument
515 input_max_tensor.flat<float>()(0) = edge.input_max; in MakeInputMinMax()
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| /external/tensorflow/tensorflow/core/kernels/mkl/ |
| D | mkl_quantized_pooling_ops_test.cc | 51 const float input_max = 255.0f; in TEST_F() local
61 FloatTensorToQuantized<quint8>(input_float, input_min, input_max); in TEST_F()
80 AddInputFromArray<float>(TensorShape({}), {input_max}); in TEST_F()
108 const float input_max = 255.0f; in TEST_F() local
118 FloatTensorToQuantized<quint8>(input_float, input_min, input_max); in TEST_F()
136 AddInputFromArray<float>(TensorShape({}), {input_max}); in TEST_F()
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| D | mkl_requantization_range_per_channel_op.cc | 49 const Tensor& input_max = ctx->input(kInputMaxIndex); in Compute() local
51 const size_t depth = input_max.NumElements(); in Compute()
57 ctx, input_max.dim_size(0) == depth, in Compute()
59 depth, " was ", input_max.dim_size(0))); in Compute()
76 const float* input_max_data = input_max.flat<float>().data(); in Compute()
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| /external/tensorflow/tensorflow/lite/delegates/hexagon/builders/tests/ |
| D | activations_test.cc | 195 void TestQuantizedHardSwish(int size, float input_min, float input_max, in TestQuantizedHardSwish() argument
199 GenerateUniformRandomVector(size, input_min, input_max, random_engine, in TestQuantizedHardSwish()
209 /*input=*/{Tensor_Type, {1, 1, 1, size}, input_min, input_max}, in TestQuantizedHardSwish()
225 std::max(input_max - input_min, output_max - output_min) * (1.5f / 256.f); in TestQuantizedHardSwish()
238 float input_max = input_minmax.second; in HardSwishTestImpl() local
243 size, input_min, input_max, output_min, output_max, &random_engine); in HardSwishTestImpl()
260 float input_max = 25.036512f; in HardSwishBiasTestImpl() local
268 const float input_scale = (input_max - input_min) / quantized_type_range; in HardSwishBiasTestImpl()
275 ASSERT_GE(input_max, 3.0f); in HardSwishBiasTestImpl()
298 /*input=*/{Tensor_Type, {1, 1, 1, size}, input_min, input_max}, in HardSwishBiasTestImpl()
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| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | fake_quantize_ops.cc | 103 float input_min, input_max, scale; in FakeQuantWithMinMaxArgsGradOp() local
105 OP_REQUIRES_OK(ctx, ctx->GetAttr("max", &input_max)); in FakeQuantWithMinMaxArgsGradOp()
106 CpuNudge(input_min, input_max, quant_min, quant_max, &nudged_input_min_, in FakeQuantWithMinMaxArgsGradOp()
157 xla::XlaOp input_max = ctx->Input(2); in Compile() local
160 XlaNudge(b, data_type, input_min, input_max, quant_min_, quant_max_, in Compile()
201 xla::XlaOp input_max = ctx->Input(3); in Compile() local
205 XlaNudge(b, data_type, input_min, input_max, quant_min_, quant_max_, in Compile()
262 xla::XlaOp input_max = ctx->Input(2); in Compile() local
271 input_max = convert_to_input_shape(input_max); in Compile()
274 XlaNudge(b, data_type, input_min, input_max, quant_min_, quant_max_, in Compile()
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| /external/tensorflow/tensorflow/security/advisory/ |
| D | tfsa-2022-108.md | 7 If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it result…
14 input_max = tf.constant(-256, shape=[1], dtype=tf.float32)
15 tf.raw_ops.QuantizeDownAndShrinkRange(input=input, input_min=input_min, input_max=input_max, out_ty…
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| D | tfsa-2022-104.md | 7 If `Requantize` is given `input_min`, `input_max`, `requested_output_min`, `requested_output_max` t…
14 input_max = tf.constant(-256, shape=[1], dtype=tf.float32)
17 tf.raw_ops.Requantize(input=input, input_min=input_min, input_max=input_max, requested_output_min=r…
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| D | tfsa-2021-058.md | 14 input_max = tf.constant([], dtype=tf.float32)
17 tf.raw_ops.RequantizationRange(input=input, input_min=input_min, input_max=input_max)
22 assumes that the `input_min` and `input_max` tensors have at least one element,
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| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
| D | QuantizeAndDequantizeV2.pbtxt | 12 name: "input_max"
62 name: "input_max"
113 name: "input_max"
165 name: "input_max"
230 name: "input_max"
302 name: "input_max"
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| D | QuantizeAndDequantize.pbtxt | 40 name: "input_max"
96 name: "input_max"
155 name: "input_max"
214 name: "input_max"
274 name: "input_max"
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| D | QuantizeAndDequantizeV3.pbtxt | 12 name: "input_max"
59 name: "input_max"
107 name: "input_max"
156 name: "input_max"
212 name: "input_max"
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| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
| D | QuantizeAndDequantize.pbtxt | 40 name: "input_max"
96 name: "input_max"
155 name: "input_max"
214 name: "input_max"
274 name: "input_max"
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| D | QuantizeAndDequantizeV2.pbtxt | 12 name: "input_max"
62 name: "input_max"
113 name: "input_max"
165 name: "input_max"
230 name: "input_max"
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| D | QuantizeAndDequantizeV3.pbtxt | 12 name: "input_max"
59 name: "input_max"
107 name: "input_max"
156 name: "input_max"
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| /external/tensorflow/tensorflow/python/kernel_tests/quantization_ops/ |
| D | quantization_ops_test.py | 303 input_max=1.0,
314 input_max=[],
325 input_max=1.0,
336 input_max=1.0,
408 input=inputs, input_min=[], input_max=4.0,
421 input_max = constant_op.constant(127, shape=(), dtype=dtypes.float32)
427 input_max,
440 input_max = constant_op.constant(127, shape=(), dtype=dtypes.float32)
449 input_value, input_min, input_max, num_bits, signed_input=True)
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