| /external/tensorflow/tensorflow/lite/kernels/ |
| D | dequantize.cc | 15 #include "tensorflow/lite/kernels/dequantize.h"
26 namespace dequantize { namespace
69 // the output tensor. Otherwise we run dequantize upon each eval. in Prepare()
98 } // namespace dequantize
102 dequantize::Init, dequantize::Free, dequantize::Prepare, in Register_DEQUANTIZE_OPT()
103 dequantize::Eval<dequantize::kGenericOptimized>}; in Register_DEQUANTIZE_OPT()
108 static TfLiteRegistration r = {dequantize::Init, dequantize::Free, in Register_DEQUANTIZE_REF()
109 dequantize::Prepare, in Register_DEQUANTIZE_REF()
110 dequantize::Eval<dequantize::kReference>}; in Register_DEQUANTIZE_REF()
|
| D | dequantize.h | 23 #include "tensorflow/lite/kernels/internal/reference/dequantize.h"
24 #include "tensorflow/lite/kernels/internal/reference/integer_ops/dequantize.h"
33 namespace dequantize {
35 // This file has two implementation of Dequantize.
96 reference_ops::Dequantize( in DequantizeImpl()
100 optimized_ops::Dequantize( in DequantizeImpl()
107 reference_integer_ops::Dequantize<int8_t>( in DequantizeImpl()
111 optimized_ops::Dequantize( in DequantizeImpl()
118 reference_integer_ops::Dequantize<int16_t>( in DequantizeImpl()
122 optimized_ops::Dequantize( in DequantizeImpl()
[all …]
|
| /external/tensorflow/tensorflow/compiler/mlir/lite/tests/ |
| D | prepare-quantize.mlir | 9 %1 = "tfl.dequantize"(%0) : (tensor<2x1x!quant.uniform<i16:f32, 1.0>>) -> (tensor<2x1xf32>)
11 %3 = "tfl.dequantize"(%2) : (tensor<2x3x!quant.uniform<i16:f32, 1.0>>) -> (tensor<2x3xf32>)
16 // CHECK-NEXT: %[[dq:.*]] = "tfl.dequantize"(%[[q]])
18 // CHECK-NEXT: %[[dq_0:.*]] = "tfl.dequantize"(%[[q_0]])
21 // CHECK-NEXT: %[[dq_1:.*]] = "tfl.dequantize"(%[[q_1]])
28 %1 = "tfl.dequantize"(%0) : (tensor<2x1x!quant.uniform<i16:f32, 1.0>>) -> (tensor<2x1xf32>)
30 %3 = "tfl.dequantize"(%2) : (tensor<2x3x!quant.uniform<i16:f32, 1.0>>) -> (tensor<2x3xf32>)
36 // MixedPrecision-NEXT: %[[dq:.*]] = "tfl.dequantize"(%[[q]])
38 // MixedPrecision-NEXT: %[[dq_0:.*]] = "tfl.dequantize"(%[[q_0]])
41 // MixedPrecision-NEXT: %[[dq_1:.*]] = "tfl.dequantize"(%[[q_1]])
[all …]
|
| D | optimize_op_order.mlir | 5 …%0 = "tfl.dequantize"(%arg0) : (tensor<1000x1000x!quant.uniform<i8:f32, 7.812500e-03>>) -> tensor<…
10 // CHECK-NEXT: tfl.dequantize
16 …%dq_w = "tfl.dequantize"(%w) : (tensor<12x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>) -> te…
22 // CHECK-NEXT: tfl.dequantize
27 …%0 = "tfl.dequantize"(%arg0) : (tensor<1000x1000x!quant.uniform<i8:f32, 7.812500e-03>>) -> tensor<…
31 // CHECK-NEXT: tfl.dequantize
37 …%0 = "tfl.dequantize"(%arg0) : (tensor<1000x2x!quant.uniform<i8:f32, 7.812500e-03>>) -> tensor<100…
41 // CHECK-NEXT: tfl.dequantize
47 …%0 = "tfl.dequantize"(%arg0) : (tensor<?x1000x1000x!quant.uniform<i8:f32, 7.812500e-03>>) -> tenso…
52 // CHECK-NEXT: tfl.dequantize
[all …]
|
| D | prepare-quantize-post-training.mlir | 35 // CHECK-DAG: %[[dq:.*]] = "tfl.dequantize"(%[[q]]) : (tensor<1x20x!quant.uniform<i16:f32, 2.441406…
36 // Checks if input 19 is correctly passed from a dequantize op.
91 // CHECK-DAG: %[[input_0:.*]] = "tfl.dequantize"({{.*}}) : (tensor<1x1x5x!quant.uniform<i8:f32, 0.0…
92 // CHECK-DAG: %[[input_1:.*]] = "tfl.dequantize"({{.*}}) : (tensor<2x5x!quant.uniform<i8<-127:127>:…
93 // CHECK-DAG: %[[input_2:.*]] = "tfl.dequantize"({{.*}}) : (tensor<2x5x!quant.uniform<i8<-127:127>:…
94 // CHECK-DAG: %[[input_3:.*]] = "tfl.dequantize"({{.*}}) : (tensor<2x5x!quant.uniform<i8<-127:127>:…
95 // CHECK-DAG: %[[input_4:.*]] = "tfl.dequantize"({{.*}}) : (tensor<2x5x!quant.uniform<i8<-127:127>:…
96 // CHECK-DAG: %[[input_5:.*]] = "tfl.dequantize"({{.*}}) : (tensor<2x4x!quant.uniform<i8<-127:127>:…
97 // CHECK-DAG: %[[input_6:.*]] = "tfl.dequantize"({{.*}}) : (tensor<2x4x!quant.uniform<i8<-127:127>:…
98 // CHECK-DAG: %[[input_7:.*]] = "tfl.dequantize"({{.*}}) : (tensor<2x4x!quant.uniform<i8<-127:127>:…
[all …]
|
| D | prepare-quantize-signed.mlir | 7 %2 = "tfl.dequantize"(%1) : (tensor<2x2x!quant.uniform<u8:f32, 1.0:128>>) -> tensor<2x2xf32>
11 // CHECK-NEXT: %[[dq:.*]] = "tfl.dequantize"(%[[q]])
18 …%2 = "tfl.dequantize"(%1) : (tensor<2x2x!quant.uniform<u8:f32:1, {1.0:128, 1.0}>>) -> tensor<2x2xf…
22 // CHECK-NEXT: %[[dq:.*]] = "tfl.dequantize"(%0)
29 …%2 = "tfl.dequantize"(%1) : (tensor<2x2x!quant.uniform<u8<1:255>:f32, 1.0:255>>) -> tensor<2x2xf32>
33 // CHECK-NEXT: %[[dq:.*]] = "tfl.dequantize"(%[[q]])
53 // CHECK: %[[dq1:.*]] = "tfl.dequantize"(%[[q1]])
55 // CHECK: %[[dq2:.*]] = "tfl.dequantize"(%[[q2]])
75 // CHECK: %[[dq1:.*]] = "tfl.dequantize"(%[[q1]])
77 // CHECK: %[[dq2:.*]] = "tfl.dequantize"(%[[q2]])
[all …]
|
| D | prepare-tf-fake-quant.mlir | 15 // CHECK: %[[dq:.*]] = "tfl.dequantize"(%[[q]])
29 // CHECK: %2 = "tfl.dequantize"(%1)
63 // CHECK: %[[DEQUANTIZE:.*]] = "tfl.dequantize"(%[[QUANTIZE]])
64 // CHECK: return %[[DEQUANTIZE]] : tensor<8xf32>
79 // CHECK: %[[DEQUANTIZE:.*]] = "tfl.dequantize"(%[[QUANTIZE]])
80 // CHECK: return %[[DEQUANTIZE]] : tensor<8xf32>
93 // CHECK: %[[DEQUANTIZE:.*]] = "tfl.dequantize"(%[[QUANTIZE]])
94 // CHECK: return %[[DEQUANTIZE]] : tensor<8xf32>
111 // CHECK: %[[DEQUANTIZE:.*]] = "tfl.dequantize"(%[[QUANTIZE]])
112 // CHECK: return %[[DEQUANTIZE]] : tensor<8xf32>
[all …]
|
| D | quantize-numeric-verify.mlir | 8 …%2 = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> t…
11 …%4 = "tfl.dequantize"(%3) : (tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.1>>) -> tensor<32x3x3…
18 // DEBUG: %[[act:.*]] = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.8125…
29 …%2 = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> t…
31 …%4 = "tfl.dequantize"(%3) : (tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:15…
41 …%2 = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> t…
43 …%4 = "tfl.dequantize"(%3) : (tensor<32x12x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>…
51 %0 = "tfl.dequantize"(%arg) : (tensor<4x!quant.uniform<u8:f32, 1.0>>) -> tensor<4xf32>
66 %1 = "tfl.dequantize"(%arg0) : (tensor<4x!quant.uniform<u8:f32, 1.0>>) -> tensor<4xf32>
67 %2 = "tfl.dequantize"(%arg1) : (tensor<4x!quant.uniform<u8:f32, 1.0>>) -> tensor<4xf32>
[all …]
|
| D | default_quant_params.mlir | 12 // CHECK: %[[dq:.*]] = "tfl.dequantize"(%[[add]]) : (tensor<2x2x!quant.uniform<u8:f32, 0.0078431372…
19 %1 = "tfl.dequantize"(%0) : (tensor<2x2x!quant.uniform<u8:f32, 1.0:128>>) -> tensor<2x2xf32>
26 // CHECK: %[[dq:.*]] = "tfl.dequantize"(%[[add]]) : (tensor<2x2x!quant.uniform<u8:f32, 0.0078431372…
32 %1 = "tfl.dequantize"(%arg0) : (tensor<2x2x!quant.uniform<u8:f32, 1.0>>) -> tensor<2x2xf32>
38 // CHECK: %[[dq:.*]] = "tfl.dequantize"(%[[add]]) : (tensor<2x2x!quant.uniform<u8:f32, 0.0078431372…
46 %2 = "tfl.dequantize"(%0) : (tensor<2x2x!quant.uniform<u8:f32, 1.0:128>>) -> tensor<2x2xf32>
47 %3 = "tfl.dequantize"(%1) : (tensor<2x1x!quant.uniform<u8:f32, 1.0:128>>) -> tensor<2x1xf32>
54 // CHECK: %[[dq:.*]] = "tfl.dequantize"(%[[add]]) : (tensor<2x2x!quant.uniform<u8:f32, 0.0078431372…
60 …%0 = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 1.0>>) -> tensor<1x224x2…
61 …%1 = "tfl.dequantize"(%arg1) : (tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 1.0>>) -> tensor<32x…
[all …]
|
| D | quantize.mlir | 39 …%2 = "tfl.dequantize"(%1) : (tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>) -> ten…
49 …%0 = "tfl.dequantize"(%cst) : (tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>) -> t…
61 …%2 = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> t…
64 …%4 = "tfl.dequantize"(%3) : (tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.1>>) -> tensor<32x3x3…
80 …%2 = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> t…
82 …%4 = "tfl.dequantize"(%3) : (tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:15…
97 …%2 = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> t…
99 …%4 = "tfl.dequantize"(%3) : (tensor<32x12x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>…
110 // BLOCK: %[[dq1:.*]] = "tfl.dequantize"(%arg0)
112 // BLOCK: %[[dq2:.*]] = "tfl.dequantize"(%[[cst2]])
[all …]
|
| /external/armnn/src/armnn/ |
| D | TypesUtils.cpp | 46 float armnn::Dequantize(QuantizedType value, float scale, int32_t offset) in Dequantize() function in armnn
70 /// Explicit specialization of Dequantize for int8_t
72 float armnn::Dequantize<int8_t>(int8_t value, float scale, int32_t offset);
74 /// Explicit specialization of Dequantize for uint8_t
76 float armnn::Dequantize<uint8_t>(uint8_t value, float scale, int32_t offset);
78 /// Explicit specialization of Dequantize for int16_t
80 float armnn::Dequantize<int16_t>(int16_t value, float scale, int32_t offset);
82 /// Explicit specialization of Dequantize for int32_t
84 float armnn::Dequantize<int32_t>(int32_t value, float scale, int32_t offset);
86 /// Explicit specialization of Dequantize for int64_t
[all …]
|
| /external/ComputeLibrary/arm_compute/core/ |
| D | QuantizationInfo.h | 268 /** Dequantize a value given a 8-bit asymmetric quantization scheme
270 * @param[in] value Value to dequantize
275 static inline float dequantize(QUANTIZED_TYPE value, const UniformQuantizationInfo &qinfo) in dequantize() function
280 /** Dequantize a value given a 8-bit asymmetric quantization scheme
282 * @param[in] value Value to dequantize
287 static inline float dequantize(QUANTIZED_TYPE value, const QuantizationInfo &qinfo) in dequantize() function
351 /** Dequantize a value given an unsigned 8-bit asymmetric quantization scheme
353 * @param[in] value Value to dequantize
361 return Qasymm8QuantizationHelper<uint8_t>::dequantize(value, qinfo); in dequantize_qasymm8()
364 /** Dequantize a value given a signed 8-bit asymmetric quantization scheme
[all …]
|
| /external/pytorch/torch/csrc/jit/passes/quantization/ |
| D | quantization_patterns.h | 96 value + "_dequant = aten::dequantize(" + value + "_quant)"; in getDequantize()
111 %a_dequant = aten::dequantize(%a_quant) in getInputTensorQParamOpPattern()
205 %a_dequant = aten::dequantize(%a_quant) in getFixedQParamOpFusionInfo()
247 // %a_dequant = aten::dequantize(%a_quant)
267 %a_dequant = aten::dequantize(%a_quant) in getObservedQParamOpFusionInfo()
289 %a_dequant = aten::dequantize(%a_quant) in quant_fusion_pattern_and_replacements()
291 %w_dequant = aten::dequantize(%w_quant) in quant_fusion_pattern_and_replacements()
299 %a_dequant = aten::dequantize(%a_quant) in quant_fusion_pattern_and_replacements()
301 %w_dequant = aten::dequantize(%w_quant) in quant_fusion_pattern_and_replacements()
310 %a_dequant = aten::dequantize(%a_quant) in quant_fusion_pattern_and_replacements()
[all …]
|
| /external/icing/icing/index/embed/ |
| D | quantizer_test.cc | 55 EXPECT_FLOAT_EQ(quantizer.Dequantize(0), float_min); in TEST()
59 EXPECT_FLOAT_EQ(quantizer.Dequantize(255), float_max); in TEST()
67 EXPECT_NEAR(quantizer.Dequantize(quantized_value), original_value, eps); in TEST()
73 EXPECT_NEAR(quantizer.Dequantize(quantized_value), original_value, eps); in TEST()
77 EXPECT_NEAR(quantizer.Dequantize(quantized_value), original_value, eps); in TEST()
96 EXPECT_FLOAT_EQ(quantizer.Dequantize(0), float_min); in TEST()
100 EXPECT_FLOAT_EQ(quantizer.Dequantize(255), float_max); in TEST()
108 EXPECT_NEAR(quantizer.Dequantize(quantized_value), original_value, eps); in TEST()
114 EXPECT_NEAR(quantizer.Dequantize(quantized_value), original_value, eps); in TEST()
118 EXPECT_NEAR(quantizer.Dequantize(quantized_value), original_value, eps); in TEST()
[all …]
|
| /external/executorch/extension/llm/custom_ops/spinquant/test/ |
| D | fast_hadamard_transform_test.cpp | 90 float dequantize(T x, float scale) { in dequantize() function
95 std::vector<float> dequantize(const std::vector<T>& data, float scale) { in dequantize() function
100 result.push_back(dequantize(quant, scale)); in dequantize()
115 auto expected_unquant = dequantize(qdata, scale); in testQuantizedFastHadamardTransform()
125 dequantize(actual[ii], scale), dequantize(expected[ii], scale)); in testQuantizedFastHadamardTransform()
144 auto expected_unquant = dequantize(qdata, scale); in TEST()
154 dequantize(actual[ii], scale), dequantize(expected[ii], scale)); in TEST()
|
| /external/executorch/backends/cadence/reference/kernels/ |
| D | kernels.cpp | 42 // Dequantize an int8_t/uint8_t value to an fp32 value
44 float dequantize(const T x, float scale, int32_t zero_point) { in dequantize() function
48 // Dequantize an int8_t/uint8_t/int16_t array to an fp32 array
50 void dequantize( in dequantize() function
57 y[i] = dequantize<T>(x[i], scale, zero_point); in dequantize()
87 template float dequantize(const dtype x, float scale, int32_t zero_point);
96 template void dequantize( \
|
| /external/tensorflow/tensorflow/compiler/mlir/lite/utils/ |
| D | fake_quant_utils.h | 61 // Inserts a "tfl.quantize" and "tfl.dequantize" op pair (QDQs) after the
66 // the quantization parameters as a TypeAttr and "tfl.dequantize" op used to
77 // tfl.dequantize
85 // tfl.dequantize
107 // We don't want to insert quantize/dequantize if the quantize op exists. in matchAndRewrite()
142 // dequantize ops, and insert them between the tf.FakeQuantWithMinMaxVarsOp in matchAndRewrite()
147 auto dequantize = rewriter.create<TFL::DequantizeOp>( in matchAndRewrite() local
149 value.replaceAllUsesWith(dequantize); in matchAndRewrite()
150 quantize.getOperation()->replaceUsesOfWith(dequantize, value); in matchAndRewrite()
159 // and tfl.dequantize pairs before tf.FakeQuant* being foled.
|
| /external/pytorch/torch/ao/quantization/fx/ |
| D | convert.py | 98 dequantize node working with decomposed Tensor
132 # otherwise, we can convert the activation_post_process module call to quantize/dequantize node
135 # the quantize and dequantize operator
193 # 2. replace activation_post_process node with quantize and dequantize
231 # propagate numeric debug handle from observer/fake_quant node to dequantize node
301 # 3. replace activation_post_process node to quantize and dequantize node
337 # propagate numeric debug handle from observer/fake_quant node to dequantize node
358 dequantize node
363 ... -> torch.quantize_per_tensor(x, ...) -> x.dequantize() -> ...
386 # otherwise, we can convert the activation_post_process module call to quantize/dequantize node
[all …]
|
| /external/armnn/python/pyarmnn/src/pyarmnn/swig/modules/ |
| D | armnn_types_utils.i | 23 float Dequantize(QuantizedType value, float scale, int32_t offset);
24 %template(Dequantize_uint8_t) Dequantize<uint8_t>;
25 %template(Dequantize_int8_t) Dequantize<int8_t>;
26 %template(Dequantize_int16_t) Dequantize<int16_t>;
27 %template(Dequantize_int32_t) Dequantize<int32_t>;
|
| /external/pytorch/aten/src/ATen/native/quantized/cpu/ |
| D | TensorOperators.cpp | 34 TODO: This is an inefficient implementation that uses `.dequantize`.
43 auto self_dq = self.dequantize(); \
47 auto self_dq = self.dequantize(); \
56 auto self_dq = self.dequantize(); \
57 auto other_dq = other.dequantize(); \
63 auto self_dq = self.dequantize(); \
64 auto other_dq = other.dequantize(); \
|
| /external/tensorflow/tensorflow/core/kernels/ |
| D | dequantize_op.cc | 130 "Dequantize with axis != -1.")); in Compute()
184 meta::Dequantize(ctx, input_ui8_array.data(), input_ui8_array.size(), in DequantizeTensor()
211 // dequantize and quantize_and_dequantize ops. in DequantizeSlice()
247 REGISTER_KERNEL_BUILDER(Name("Dequantize")
252 REGISTER_KERNEL_BUILDER(Name("Dequantize")
257 REGISTER_KERNEL_BUILDER(Name("Dequantize")
262 REGISTER_KERNEL_BUILDER(Name("Dequantize")
267 REGISTER_KERNEL_BUILDER(Name("Dequantize")
273 REGISTER_KERNEL_BUILDER(Name("Dequantize")
278 REGISTER_KERNEL_BUILDER(Name("Dequantize")
[all …]
|
| /external/libjpeg-turbo/ |
| D | jidctint.c | 160 /* Dequantize a coefficient by multiplying it by the multiplier-table
165 #define DEQUANTIZE(coef, quantval) (((ISLOW_MULT_TYPE)(coef)) * (quantval)) macro
211 int dcval = LEFT_SHIFT(DEQUANTIZE(inptr[DCTSIZE * 0],
232 z2 = DEQUANTIZE(inptr[DCTSIZE * 2], quantptr[DCTSIZE * 2]);
233 z3 = DEQUANTIZE(inptr[DCTSIZE * 6], quantptr[DCTSIZE * 6]);
239 z2 = DEQUANTIZE(inptr[DCTSIZE * 0], quantptr[DCTSIZE * 0]);
240 z3 = DEQUANTIZE(inptr[DCTSIZE * 4], quantptr[DCTSIZE * 4]);
254 tmp0 = DEQUANTIZE(inptr[DCTSIZE * 7], quantptr[DCTSIZE * 7]);
255 tmp1 = DEQUANTIZE(inptr[DCTSIZE * 5], quantptr[DCTSIZE * 5]);
256 tmp2 = DEQUANTIZE(inptr[DCTSIZE * 3], quantptr[DCTSIZE * 3]);
[all …]
|
| D | jidctred.c | 107 /* Dequantize a coefficient by multiplying it by the multiplier-table
112 #define DEQUANTIZE(coef, quantval) (((ISLOW_MULT_TYPE)(coef)) * (quantval)) macro
149 int dcval = LEFT_SHIFT(DEQUANTIZE(inptr[DCTSIZE * 0],
162 tmp0 = DEQUANTIZE(inptr[DCTSIZE * 0], quantptr[DCTSIZE * 0]);
165 z2 = DEQUANTIZE(inptr[DCTSIZE * 2], quantptr[DCTSIZE * 2]);
166 z3 = DEQUANTIZE(inptr[DCTSIZE * 6], quantptr[DCTSIZE * 6]);
175 z1 = DEQUANTIZE(inptr[DCTSIZE * 7], quantptr[DCTSIZE * 7]);
176 z2 = DEQUANTIZE(inptr[DCTSIZE * 5], quantptr[DCTSIZE * 5]);
177 z3 = DEQUANTIZE(inptr[DCTSIZE * 3], quantptr[DCTSIZE * 3]);
178 z4 = DEQUANTIZE(inptr[DCTSIZE * 1], quantptr[DCTSIZE * 1]);
[all …]
|
| /external/gemmlowp/meta/ |
| D | transform_kernels.h | 30 struct Dequantize { struct
89 class Transform1DKernel<InType, OutType, Dequantize, kernel_size, leftovers> {
91 static void Transform(const InType* in, const Dequantize& params, in Transform()
95 std::cout << "Dequantize::Transform(" << std::string(typeid(InType).name()) in Transform()
100 std::cerr << "FATAL: Dequantize::Transform not implemented." << std::endl; in Transform()
200 class Transform1DUtil<InType, OutType, Dequantize> {
202 static int EstimateComputeCost(const Dequantize& params) { in EstimateComputeCost()
206 static const InType* OffsetInput(const Dequantize& params, in OffsetInput()
211 static OutType* OffsetOutput(const Dequantize& params, OutType* output, in OffsetOutput()
|
| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
| D | Dequantize.pbtxt | 2 name: "Dequantize"
47 name: "Dequantize"
93 name: "Dequantize"
139 name: "Dequantize"
192 name: "Dequantize"
252 name: "Dequantize"
|