/external/tensorflow/tensorflow/core/kernels/ |
D | quantized_add_op.cc | 49 float scalar_input_max, float output_min, float output_max, in ScalarAddition() argument 52 scalar_input, scalar_input_min, scalar_input_max, output_min, output_max); in ScalarAddition() 55 full_input[i], full_input_min, full_input_max, output_min, output_max); in ScalarAddition() 67 float output_min, float output_max, qint32* output) { in ScalarAddition() argument 69 scalar_input, scalar_input_min, scalar_input_max, output_min, output_max); in ScalarAddition() 76 FloatToQuantizedUnclamped<qint32>(input_0_float, output_min, output_max); in ScalarAddition() 78 FloatToQuantizedUnclamped<qint32>(input_1_float, output_min, output_max); in ScalarAddition() 124 float output_min, float output_max, qint32* output) { in ScalarAddition() argument 126 scalar_input, scalar_input_min, scalar_input_max, output_min, output_max); in ScalarAddition() 133 FloatToQuantizedUnclamped<qint32>(input_0_float, output_min, output_max); in ScalarAddition() [all …]
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D | quantized_batch_norm_op.cc | 38 Tensor* output, float* output_min, float* output_max) { in ReferenceBatchNorm() argument 49 *output_min = std::numeric_limits<float>::max(); in ReferenceBatchNorm() 78 *output_min = std::min(output_value, *output_min); in ReferenceBatchNorm() 82 FloatToQuantized<T2>(output_value, *output_min, *output_max); in ReferenceBatchNorm() 101 Tensor* output, float* output_min, float* output_max) { in FixedPointBatchNorm() argument 115 *output_min = -(1 << 20); in FixedPointBatchNorm() 139 FloatToQuantized<T2>(scale_value, *output_min, *output_max); in FixedPointBatchNorm() 141 FloatToQuantized<T2>(offset_value, *output_min, *output_max); in FixedPointBatchNorm() 145 FloatToQuantized<T2>(1.0f, *output_min, *output_max); in FixedPointBatchNorm() 151 input_max, *output_min, *output_max); in FixedPointBatchNorm() [all …]
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D | quantized_concat_op.cc | 35 float output_min, float output_max) in RequantizeCopier() 36 : output_min(output_min), in RequantizeCopier() 43 if (input_min == output_min && input_max == output_max) { in Copy() 54 FloatToQuantizedStruct<T> f2q(output_min, output_max); in Copy() 64 float output_min; member 82 float* output_min, float* output_max) { in CalculateInputAndOutputRange() argument 100 *output_min = -largest_value; in CalculateInputAndOutputRange() 103 *output_min = overall_min; in CalculateInputAndOutputRange() 194 float output_min = std::numeric_limits<float>::max(); in Compute() local 198 &input_mins_and_maxes, &output_min, in Compute() [all …]
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D | quantized_activation_ops.cc | 51 Tensor* output_min = nullptr; in Compute() local 52 OP_REQUIRES_OK(context, context->allocate_output(1, {}, &output_min)); in Compute() 53 output_min->flat<float>()(0) = min_input; in Compute() 89 Tensor* output_min = nullptr; in Compute() local 90 OP_REQUIRES_OK(context, context->allocate_output(1, {}, &output_min)); in Compute() 91 output_min->flat<float>()(0) = min_input; in Compute()
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D | quantized_pooling_ops.cc | 94 Tensor* output_min = nullptr; in Compute() local 95 OP_REQUIRES_OK(context, context->allocate_output(1, {}, &output_min)); in Compute() 96 output_min->flat<float>()(0) = min_input; in Compute() 118 Tensor* output_min = nullptr; in Compute() local 119 OP_REQUIRES_OK(context, context->allocate_output(1, {}, &output_min)); in Compute() 120 output_min->flat<float>()(0) = min_input; in Compute()
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D | quantization_utils_test.cc | 35 float input_max, float output_min, float output_max, in TestRequantizeMany() argument 44 output_min, output_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() 77 float output_min, float output_max, in TestRequantizeMany8To32Bit() argument 86 output_min, output_max)); in TestRequantizeMany8To32Bit() 96 input_max, output_min, output_max, in TestRequantizeMany8To32Bit() 107 << ", input_max=" << input_max << ", output_min=" << output_min in TestRequantizeMany8To32Bit() 232 const float output_min = ranges[range_index][2]; in TestRequantizeManyInNewRangeEigenVsNonEigen() local [all …]
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D | quantized_activation_ops_test.cc | 62 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 65 QuantizedTensorToFloat<quint8>(output_quantized, output_min, output_max); in TEST_F() 93 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 96 QuantizedTensorToFloat<quint8>(output_quantized, output_min, output_max); in TEST_F()
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D | quantized_reshape_op.cc | 36 Tensor* output_min = nullptr; in Compute() local 37 OP_REQUIRES_OK(ctx, ctx->allocate_output(1, TensorShape({}), &output_min)); in Compute() 38 output_min->flat<float>()(0) = input_min_float; in Compute()
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D | quantized_pooling_ops_test.cc | 76 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 79 QuantizedTensorToFloat<quint8>(output_quantized, output_min, output_max); in TEST_F() 121 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 124 QuantizedTensorToFloat<quint8>(output_quantized, output_min, output_max); in TEST_F()
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D | requantization_range_op.cc | 51 Tensor* output_min = nullptr; in Compute() local 52 OP_REQUIRES_OK(ctx, ctx->allocate_output(0, TensorShape({}), &output_min)); in Compute() 68 output_min->flat<float>().setConstant(used_min_float); in Compute()
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D | quantized_bias_add_op_test.cc | 83 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 86 QuantizedTensorToFloat<qint32>(output_quantized, output_min, output_max); in TEST_F() 165 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 168 QuantizedTensorToFloat<qint32>(output_quantized, output_min, output_max); in TEST_F()
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D | quantize_op_test.cc | 292 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 294 EXPECT_NEAR(0.0f, output_min, 1e-5f); in TEST_F() 314 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 316 EXPECT_NEAR(0.0f, output_min, 1e-5f); in TEST_F() 336 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 338 EXPECT_NEAR(0.0f, output_min, 1e-5f); in TEST_F() 358 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 360 EXPECT_NEAR(-0.3f, output_min, 1e-5f); in TEST_F()
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D | requantize.cc | 49 Tensor* output_min = nullptr; in Compute() local 50 OP_REQUIRES_OK(ctx, ctx->allocate_output(1, TensorShape({}), &output_min)); in Compute() 92 output_min->flat<float>().setConstant(requested_output_min_float); in Compute()
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D | quantized_concat_op_test.cc | 111 const float output_min = GetOutput(1)->flat<float>()(0); in TestSmall8Bit() local 114 QuantizedTensorToFloat<quint8>(output_quantized, output_min, output_max); in TestSmall8Bit() 177 const float output_min = GetOutput(1)->flat<float>()(0); in TestSmall32Bit() local 180 QuantizedTensorToFloat<qint32>(output_quantized, output_min, output_max); in TestSmall32Bit() 239 const float output_min = GetOutput(1)->flat<float>()(0); in TestSecondDim8Bit() local 242 QuantizedTensorToFloat<quint8>(output_quantized, output_min, output_max); in TestSecondDim8Bit()
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D | quantization_utils.cc | 23 float* output_min, float* output_max) { in GetOutputMinAndMaxForQuantizedAdd() argument 39 *output_min = -(*output_max); in GetOutputMinAndMaxForQuantizedAdd()
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D | quantize_down_and_shrink_range.cc | 47 Tensor* output_min = nullptr; in Compute() local 48 OP_REQUIRES_OK(ctx, ctx->allocate_output(1, TensorShape({}), &output_min)); in Compute() 96 output_min->flat<float>().setConstant(actual_min_float); in Compute()
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D | quantized_bias_add_op.cc | 84 Tensor* output_min = nullptr; in Compute() local 85 OP_REQUIRES_OK(context, context->allocate_output(1, {}, &output_min)); in Compute() 86 output_min->flat<float>()(0) = total_min; in Compute()
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D | meta_support.cc | 257 float input_min, float input_max, float output_min, in Requantize() argument 270 params.kernel.output_range_min = output_min; in Requantize() 274 CalculateOneOverRangeScale<uint8_t>(output_min, output_max); in Requantize() 349 float bias_max, float output_min, float output_max, in QuantizedBiasAdd() argument 371 params.kernel.output_range_min = output_min; in QuantizedBiasAdd() 373 CalculateOneOverRangeScale<int32_t>(output_min, output_max); in QuantizedBiasAdd()
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D | meta_support.h | 80 float input_min, float input_max, float output_min, 101 float bias_max, float output_min, float output_max,
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D | quantized_batch_norm_op_test.cc | 127 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 130 QuantizedTensorToFloat<qint32>(output_quantized, output_min, output_max); in TEST_F() 235 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 238 QuantizedTensorToFloat<qint32>(output_quantized, output_min, output_max); in TEST_F()
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D | quantized_conv_ops_test.cc | 127 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 130 QuantizedTensorToFloat<qint32>(output_quantized, output_min, output_max); in TEST_F() 318 const float output_min = GetOutput(1)->flat<float>()(0); in TEST_F() local 321 QuantizedTensorToFloat<qint32>(output_quantized, output_min, output_max); in TEST_F()
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D | quantization_utils.h | 799 float* output_min, float* output_max); 808 Tensor* output, float* output_min, in QuantizedAddUsingEigen() argument 815 smaller_input_max, output_min, output_max); in QuantizedAddUsingEigen() 821 FloatToQuantized<T3>(0.0f, *output_min, *output_max); in QuantizedAddUsingEigen() 829 FloatToQuantizedStruct<T3> f2q(*output_min, *output_max); in QuantizedAddUsingEigen() 855 Tensor* output, float* output_min, float* output_max) { in QuantizedAdd() argument 861 smaller_input_max, output_min, output_max); in QuantizedAdd() 867 FloatToQuantized<T3>(0.0f, *output_min, *output_max); in QuantizedAdd() 872 float total_min = *output_min; in QuantizedAdd()
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D | quantized_instance_norm.cc | 296 Tensor* output_min = nullptr; in Compute() local 297 OP_REQUIRES_OK(context, context->allocate_output(1, {}, &output_min)); in Compute() 344 output_min->scalar<float>()() = minimum; in Compute() 391 output_min->flat<float>()(0) = normed_min(); in Compute()
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/external/tensorflow/tensorflow/python/ops/ |
D | quantized_conv_ops_test.py | 78 output_min = value[1] 80 float_output = self._QuantizedOutputToFloat(quantized_output, output_min,
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/external/tensorflow/tensorflow/tools/graph_transforms/ |
D | quantize_nodes_test.cc | 540 quantize_op.output_min, quantize_op.output_max); in TestRemoveRedundantQuantization() 603 requantization_range_op.output_min, requantization_range_op.output_max, in TestRemoveRedundantQuantizationWithBiasAdd() 608 requantize_op.output_min, requantize_op.output_max); in TestRemoveRedundantQuantizationWithBiasAdd() 639 quantize_op.output_min, quantize_op.output_max); in TestRemoveRedundantQuantizationWithBiasAdd() 729 requantization_range_op.output_min, requantization_range_op.output_max, in TestRemoveRedundantQuantizationWithMultipleOutputs() 734 requantize_op.output_min, requantize_op.output_max); in TestRemoveRedundantQuantizationWithMultipleOutputs() 765 quantize_op.output_min, quantize_op.output_max); in TestRemoveRedundantQuantizationWithMultipleOutputs() 966 requantization_range_op.output_min, requantization_range_op.output_max, in TestMergeAdjacentRequantizes() 971 requantize_op.output_min, requantize_op.output_max, in TestMergeAdjacentRequantizes() 1002 quantize_op.output_min, quantize_op.output_max, fake_requantize_min_op, in TestMergeAdjacentRequantizes() [all …]
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