| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | sub_quantized_different_scales.mod.py | 27 output_scale, output_offset): argument
31 return quantize(a_dequantized - b_dequantized, output_scale, output_offset)
44 "{%d}, %g, %d" % (size, output_scale, output_offset))
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| D | tanh_v1_2.mod.py | 33 output_scale, output_offset = 1.0 / 128, 128 # Required. variable
39 return max(0, min(255, int(round(x / output_scale)) + output_offset))
42 output0 = Output("output0", "TENSOR_QUANT8_ASYMM", "{256}, %g, %d" % (output_scale, output_offset))
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | tanh_quant8_signed.mod.py | 19 output_scale, output_offset = 1.0 / 128, 0 # Required. variable
25 return max(-128, min(127, int(round(x / output_scale)) + output_offset))
28 … = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{256}, %g, %d" % (output_scale, output_offset))
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| D | sub_quant8_signed.mod.py | 28 output_scale, output_offset): argument
32 return quantize(a_dequantized - b_dequantized, output_scale, output_offset)
45 "{%d}, %g, %d" % (size, output_scale, output_offset))
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| /packages/modules/Virtualization/authfs/src/ |
| D | file.rs | 58 let mut output_offset = offset; in write_all_at() localVariable
60 let size = self.write_at(&buf[input_offset..], output_offset)?; in write_all_at()
62 output_offset += size as u64; in write_all_at()
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| /packages/modules/Virtualization/authfs/src/fsverity/ |
| D | editor.rs | 199 for (output_offset, current_size) in in write_at()
206 let offset_in_buf = (output_offset - offset) as usize; in write_at()
208 let output_chunk_index = (output_offset / CHUNK_SIZE) as usize; in write_at()
209 let offset_from_alignment = (output_offset % CHUNK_SIZE) as usize; in write_at()
223 let written = output_offset - offset; in write_at()
236 self.file.write_all_at(source, output_offset)?; in write_at()
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| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | Broadcast.cpp | 137 const int32_t output_offset = shapeOut.offset; in addQuant8() local
177 op_params.output_offset = output_offset; in addQuant8()
274 const int32_t output_offset = shapeOut.offset; in mulQuant8() local
296 op_params.output_offset = output_offset; in mulQuant8()
346 const int32_t output_offset = shapeOut.offset; in subQuant8() local
389 op_params.output_offset = output_offset; in subQuant8()
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| D | PRelu.cpp | 73 const int32_t output_offset = outputShape.offset; in evalQuant8() local
87 output_offset + tflite::MultiplyByQuantizedMultiplier( in evalQuant8()
91 output_val = output_offset + in evalQuant8()
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| D | FullyConnected.cpp | 165 params.output_offset = outputShape.offset; in fullyConnectedQuant8()
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| D | BatchMatmul.cpp | 183 params.output_offset = outputShape.offset; in batchMatMulQuantized()
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| D | Reshape.cpp | 236 {.output_offset = outputShape.offset}, convertShapeToTflshape(inputShape), inputData, in spaceToBatchGeneric()
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| D | DepthwiseConv2D.cpp | 224 .output_offset = outputShape.offset, in depthwiseConvNhwc()
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| D | Conv2D.cpp | 486 convParams.output_offset = outputShape.offset; in convQuant8PerChannelNhwc()
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