| /frameworks/ml/nn/runtime/test/specs/V1_3/ |
| D | fully_connected_quant8_signed.mod.py | 23 bias = Parameter("b0", "TENSOR_INT32", "{3}, 0.25f, 0", [4, 8, 12]) variable
43 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.04, 0", [10]) variable
62 bias = Input("b0", "TENSOR_INT32", "{1}, 0.04, 0") variable
85 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.25f, 0", [4]) variable
104 bias = Input("b0", "TENSOR_INT32", "{1}, 0.25f, 0") variable
125 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [4]) variable
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| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| D | fully_connected_float_large.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [900000]) variable
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| D | fully_connected_quant8_2.mod.py | 23 bias = Parameter("b0", "TENSOR_INT32", "{3}, 0.25f, 0", [4, 8, 12]) variable
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| D | fully_connected_quant8_large_weights_as_inputs.mod.py | 20 bias = Input("b0", "TENSOR_INT32", "{1}, 0.04, 0") variable
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| D | fully_connected_float.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [4]) variable
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| D | fully_connected_quant8_large.mod.py | 20 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.04, 0", [10]) variable
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| D | fully_connected_float_large_weights_as_inputs.mod.py | 20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable
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| D | fully_connected_float_2.mod.py | 42 bias = Parameter("b0", "TENSOR_FLOAT32", "{16}", variable
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| D | fully_connected_quant8.mod.py | 20 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.25f, 0", [4]) variable
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| D | fully_connected_quant8_weights_as_inputs.mod.py | 20 bias = Input("b0", "TENSOR_INT32", "{1}, 0.25f, 0") variable
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| D | fully_connected_float_3.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [1]) variable
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| D | fully_connected_float_weights_as_inputs.mod.py | 20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable
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| D | local_response_norm_float_4.mod.py | 4 bias = Float32Scalar("bias", 9.) variable
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| D | local_response_norm_float_1.mod.py | 4 bias = Float32Scalar("bias", 9.) variable
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| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| D | fully_connected_float_4d_simple.mod.py | 28 bias = Parameter("b0", "TENSOR_FLOAT32", "{3}", [1, 2, 3]) variable
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| D | fully_connected_float_large_relaxed.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [900]) variable
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| D | fully_connected_float_2_relaxed.mod.py | 42 bias = Parameter("b0", "TENSOR_FLOAT32", "{16}", variable
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| D | fully_connected_float_large_weights_as_inputs_relaxed.mod.py | 20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable
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| D | fully_connected_float_relaxed.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [4]) variable
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| D | fully_connected_float_4d_simple_relaxed.mod.py | 28 bias = Parameter("b0", "TENSOR_FLOAT32", "{3}", [1, 2, 3]) variable
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| D | fully_connected_float_weights_as_inputs_relaxed.mod.py | 20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable
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| D | local_response_norm_float_4_relaxed.mod.py | 20 bias = Float32Scalar("bias", 9.) variable
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| D | local_response_norm_float_1_relaxed.mod.py | 20 bias = Float32Scalar("bias", 9.) variable
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| /frameworks/base/services/tests/servicestests/src/com/android/server/display/whitebalance/ |
| D | AmbientLuxTest.java | 188 float bias = mix(bias0, bias1, t); in testSpline_TwoSegments() local
196 float bias = mix(bias1, bias2, t); in testSpline_TwoSegments() local
315 float bias = mix(bias0, bias1, t); in testSpline_TwoSegmentsHighLight() local
324 float bias = mix(bias1, bias2, t); in testSpline_TwoSegmentsHighLight() local
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| /frameworks/ml/nn/common/operations/ |
| D | LocalResponseNormalization.cpp | 51 int32_t radius, float bias, float alpha, float beta, in localResponseNormFloat32Impl()
86 float bias, float alpha, float beta, int32_t axis, float* outputData, in localResponseNorm()
107 _Float16 bias, _Float16 alpha, _Float16 beta, int32_t axis, in localResponseNorm()
|