Searched refs:rescaled (Results 1 – 9 of 9) sorted by relevance
| /external/tensorflow/tensorflow/lite/micro/kernels/ |
| D | elu.cc | 55 const float rescaled = std::round(transformed * inverse_scale); in PopulateLookupTable() local
57 static_cast<int32_t>(rescaled + output->params.zero_point); in PopulateLookupTable()
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_ImageSummary.pbtxt | 49 * If the input values are all positive, they are rescaled so the largest one
53 is at 127. They are then rescaled so that either the smallest value is 0,
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
| D | neon_tensor_utils.cc | 1557 int32x4x4_t rescaled = MultiplyByQuantizedMultiplier4Rows( in NeonApplyLayerNorm() local
1579 MulAdd(bias_0, rescaled.val[0], layer_norm_weights_s32_0); in NeonApplyLayerNorm()
1581 MulAdd(bias_1, rescaled.val[1], layer_norm_weights_s32_1); in NeonApplyLayerNorm()
1583 MulAdd(bias_2, rescaled.val[2], layer_norm_weights_s32_2); in NeonApplyLayerNorm()
1585 MulAdd(bias_3, rescaled.val[3], layer_norm_weights_s32_3); in NeonApplyLayerNorm()
1608 int32 rescaled = MultiplyByQuantizedMultiplier(shifted, stddev_inverse_a, in NeonApplyLayerNorm() local
1611 int64_t val3 = rescaled * layer_norm_weights[j] + bias[j]; in NeonApplyLayerNorm()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | portable_tensor_utils.cc | 446 int32_t rescaled = MultiplyByQuantizedMultiplier( in PortableApplyLayerNorm() local
449 int64_t val3 = rescaled * layer_norm_weights[j] + bias[j]; in PortableApplyLayerNorm()
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| /external/tensorflow/tensorflow/lite/kernels/ |
| D | activations.cc | 143 const float rescaled = std::round(transformed * inverse_scale); in PopulateLookupTable() local
145 static_cast<int32_t>(rescaled + output->params.zero_point); in PopulateLookupTable()
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| /external/eigen/unsupported/Eigen/ |
| D | MatrixFunctions | 137 rescaled, then the exponential of the reduced matrix is computed
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| /external/tensorflow/tensorflow/compiler/mlir/tensorflow/ir/ |
| D | tf_ops.td | 1853 * If the input values are all positive, they are rescaled so the largest one
1857 is at 127. They are then rescaled so that either the smallest value is 0,
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| /external/skia/modules/canvaskit/ |
| D | CHANGELOG.md | 428 (it is rescaled after drawing when css sizing applies).
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| /external/kotlinx.coroutines/benchmarks/src/jmh/resources/ |
| D | ospd.txt.gz | |