Searched refs:input_scale (Results 1 – 6 of 6) sorted by relevance
| /frameworks/ml/nn/runtime/test/specs/V1_3/ |
| D | tanh_quant8_signed.mod.py | 18 input_scale, input_offset = 0.05, -28 variable
22 return (x - input_offset) * input_scale
27 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{256}, %g, %d" % (input_scale, input_offset…
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| D | depthwise_conv2d_quant8_signed.mod.py | 504 input_scale = 256.5 / 255 variable
509 ("TENSOR_QUANT8_ASYMM_SIGNED", [1, 3, 2, 2], input_scale, input_zero_point))
516 b9 = Parameter("op3", ("TENSOR_INT32", [4], input_scale * filter_scale, 0),
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| /frameworks/ml/nn/runtime/test/specs/V1_2/ |
| D | tanh_v1_2.mod.py | 32 input_scale, input_offset = 0.05, 100 variable
36 return (x - input_offset) * input_scale
41 input0 = Input("input0", "TENSOR_QUANT8_ASYMM", "{256}, %g, %d" % (input_scale, input_offset))
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| D | depthwise_conv2d_v1_2.mod.py | 145 input_scale = 256.5 / 255 variable
150 ("TENSOR_QUANT8_ASYMM", [1, 3, 2, 2], input_scale, input_zero_point))
157 b9 = Parameter("op3", ("TENSOR_INT32", [4], input_scale * filter_scale, 0),
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| /frameworks/ml/nn/common/operations/ |
| D | Activation.cpp | 331 const float input_scale = inputShape.scale; in hardSwishQuant() local
332 const float hires_input_scale = (1.0f / 128.0f) * input_scale; in hardSwishQuant()
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| /frameworks/ml/nn/tools/api/ |
| D | types.spec | 1033 * with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
1041 * condition must be satisfied: output_scale > input_scale * filter_scale.
4206 * of 0 and bias_scale == input_scale * filter_scale. For filter tensor
4210 * bias_scale[i] = input_scale * filter_scale[i].
4251 * of 0 and bias_scale == input_scale * filter_scale. For filter tensor
4255 * bias_scale[i] = input_scale * filter_scale[i].
5640 * with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
5644 * bias_scale[i] = input_scale * filter_scale[i].
5685 * with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
5689 * bias_scale[i] = input_scale * filter_scale[i].
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