Searched defs:bias (Results 1 - 25 of 63) sorted by relevance

123

/frameworks/ml/nn/runtime/test/specs/V1_0/
H A D	fully_connected_float.mod.py	20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [4]) variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
H A D	fully_connected_float_2.mod.py	42 bias = Parameter("b0", "TENSOR_FLOAT32", "{16}", variable 48 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
H A D	fully_connected_float_3.mod.py	20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [1]) variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
H A D	fully_connected_float_large.mod.py	20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [900000]) variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
H A D	fully_connected_float_large_weights_as_inputs.mod.py	20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) 30 bias:
H A D	fully_connected_float_weights_as_inputs.mod.py	20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) 29 bias: [4]}
H A D	fully_connected_quant8.mod.py	20 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.25f, 0", [4]) variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
H A D	fully_connected_quant8_2.mod.py	23 bias = Parameter("b0", "TENSOR_INT32", "{3}, 0.25f, 0", [4, 8, 12]) variable 26 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
H A D	fully_connected_quant8_large.mod.py	20 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.04, 0", [10]) variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
H A D	fully_connected_quant8_large_weights_as_inputs.mod.py	20 bias = Input("b0", "TENSOR_INT32", "{1}, 0.04, 0") variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) 30 bias:
H A D	fully_connected_quant8_weights_as_inputs.mod.py	20 bias = Input("b0", "TENSOR_INT32", "{1}, 0.25f, 0") variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) 29 bias: [4]}
H A D	local_response_norm_float_1.mod.py	4 bias = Float32Scalar("bias", 9.) variable 9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
H A D	local_response_norm_float_2.mod.py	4 bias = Float32Scalar("bias", 0.) variable 9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
H A D	local_response_norm_float_3.mod.py	4 bias = Float32Scalar("bias", 0.) variable 9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
H A D	local_response_norm_float_4.mod.py	4 bias = Float32Scalar("bias", 9.) variable 9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
/frameworks/ml/nn/runtime/test/specs/V1_1/
H A D	fully_connected_float_2_relaxed.mod.py	42 bias = Parameter("b0", "TENSOR_FLOAT32", "{16}", variable 48 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
H A D	fully_connected_float_4d_simple.mod.py	28 bias = Parameter("b0", "TENSOR_FLOAT32", "{3}", [1, 2, 3]) variable 31 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
H A D	fully_connected_float_4d_simple_relaxed.mod.py	28 bias = Parameter("b0", "TENSOR_FLOAT32", "{3}", [1, 2, 3]) variable 31 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
H A D	fully_connected_float_large_relaxed.mod.py	20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [900000]) variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
H A D	fully_connected_float_large_weights_as_inputs_relaxed.mod.py	20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) 31 bias:
H A D	fully_connected_float_relaxed.mod.py	20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [4]) variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
H A D	fully_connected_float_weights_as_inputs_relaxed.mod.py	20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) 30 bias: [4]}
H A D	local_response_norm_float_1_relaxed.mod.py	20 bias = Float32Scalar("bias", 9.) variable 25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
H A D	local_response_norm_float_2_relaxed.mod.py	20 bias = Float32Scalar("bias", 0.) variable 25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
H A D	local_response_norm_float_3_relaxed.mod.py	20 bias = Float32Scalar("bias", 0.) variable 25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)

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Indexes created Sun Aug 12 02:23:12 CEST 2018