saved_model_schema_version: 1
meta_graphs {
meta_info_def {
stripped_op_list {
op {
name: "Const"
output_arg {
name: "output"
type_attr: "dtype"
}
attr {
name: "value"
type: "tensor"
}
attr {
name: "dtype"
type: "type"
}
}
op {
name: "NoOp"
}
op {
name: "Placeholder"
output_arg {
name: "output"
type_attr: "dtype"
}
attr {
name: "dtype"
type: "type"
}
attr {
name: "shape"
type: "shape"
default_value {
shape {
unknown_rank: true
}
}
}
}
op {
name: "ReadVariableOp"
input_arg {
name: "resource"
type: DT_RESOURCE
}
output_arg {
name: "value"
type_attr: "dtype"
}
attr {
name: "dtype"
type: "type"
}
is_stateful: true
}
op {
name: "StatefulPartitionedCall"
input_arg {
name: "args"
type_list_attr: "Tin"
}
output_arg {
name: "output"
type_list_attr: "Tout"
}
attr {
name: "Tin"
type: "list(type)"
has_minimum: true
}
attr {
name: "Tout"
type: "list(type)"
has_minimum: true
}
attr {
name: "f"
type: "func"
}
attr {
name: "config"
type: "string"
default_value {
s: ""
}
}
attr {
name: "config_proto"
type: "string"
default_value {
s: ""
}
}
attr {
name: "executor_type"
type: "string"
default_value {
s: ""
}
}
is_stateful: true
}
op {
name: "VarHandleOp"
output_arg {
name: "resource"
type: DT_RESOURCE
}
attr {
name: "container"
type: "string"
default_value {
s: ""
}
}
attr {
name: "shared_name"
type: "string"
default_value {
s: ""
}
}
attr {
name: "dtype"
type: "type"
}
attr {
name: "shape"
type: "shape"
}
is_stateful: true
}
}
tags: "serve"
tensorflow_version: "1.15.0"
tensorflow_git_version: "unknown"
stripped_default_attrs: true
}
graph_def {
node {
name: "dense/kernel"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 214
}
dim {
size: 100
}
}
}
}
attr {
key: "shared_name"
value {
s: "dense/kernel"
}
}
}
node {
name: "dense/kernel/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "dense/kernel"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 214
}
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "dense/bias"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 100
}
}
}
}
attr {
key: "shared_name"
value {
s: "dense/bias"
}
}
}
node {
name: "dense/bias/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "dense/bias"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "dense_1/kernel"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 100
}
dim {
size: 1
}
}
}
}
attr {
key: "shared_name"
value {
s: "dense_1/kernel"
}
}
}
node {
name: "dense_1/kernel/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "dense_1/kernel"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "dense_1/bias"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
attr {
key: "shared_name"
value {
s: "dense_1/bias"
}
}
}
node {
name: "dense_1/bias/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "dense_1/bias"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "total"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
}
}
}
attr {
key: "shared_name"
value {
s: "total"
}
}
}
node {
name: "total/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "total"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "count"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
}
}
}
attr {
key: "shared_name"
value {
s: "count"
}
}
}
node {
name: "count/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "count"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "total_1"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
}
}
}
attr {
key: "shared_name"
value {
s: "total_1"
}
}
}
node {
name: "total_1/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "total_1"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "count_1"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
}
}
}
attr {
key: "shared_name"
value {
s: "count_1"
}
}
}
node {
name: "count_1/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "count_1"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "NoOp"
op: "NoOp"
}
node {
name: "Const"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
}
string_val: "\n\277\001\n\030\010\001\022\024layer_with_weights-0\n\013\010\001\022\007layer-0\n\030\010\002\022\024layer_with_weights-1\n\013\010\002\022\007layer-1\n\r\010\003\022\toptimizer\n\031\010\004\022\025regularization_losses\n\r\010\005\022\tvariables\n\027\010\006\022\023trainable_variables\n\r\010\007\022\tkeras_api\n\016\010\010\022\nsignatures\nh\n\n\010\t\022\006kernel\n\010\010\n\022\004bias\n\031\010\013\022\025regularization_losses\n\r\010\014\022\tvariables\n\027\010\r\022\023trainable_variables\n\r\010\016\022\tkeras_api\nh\n\n\010\017\022\006kernel\n\010\010\020\022\004bias\n\031\010\021\022\025regularization_losses\n\r\010\022\022\tvariables\n\027\010\023\022\023trainable_variables\n\r\010\024\022\tkeras_api\n\000\n\000\n\034\n\005\010\t\022\0010\n\005\010\n\022\0011\n\005\010\017\022\0012\n\005\010\020\022\0013\n\034\n\005\010\t\022\0010\n\005\010\n\022\0011\n\005\010\017\022\0012\n\005\010\020\022\0013\n\255\001\n\n\010\025\022\006layers\n\037\010\026\022\033layer_regularization_losses\n\033\010\027\022\027non_trainable_variables\n\021\010\030\022\rlayer_metrics\n\031\010\004\022\025regularization_losses\n\013\010\031\022\007metrics\n\r\010\005\022\tvariables\n\027\010\006\022\023trainable_variables\n\000\nX\022V\n\016VARIABLE_VALUE\022\014dense/kernel\0326layer_with_weights-0/kernel/.ATTRIBUTES/VARIABLE_VALUE\nT\022R\n\016VARIABLE_VALUE\022\ndense/bias\0324layer_with_weights-0/bias/.ATTRIBUTES/VARIABLE_VALUE\n\000\n\016\n\005\010\t\022\0010\n\005\010\n\022\0011\n\016\n\005\010\t\022\0010\n\005\010\n\022\0011\n\255\001\n\n\010\032\022\006layers\n\037\010\033\022\033layer_regularization_losses\n\033\010\034\022\027non_trainable_variables\n\021\010\035\022\rlayer_metrics\n\031\010\013\022\025regularization_losses\n\013\010\036\022\007metrics\n\r\010\014\022\tvariables\n\027\010\r\022\023trainable_variables\nZ\022X\n\016VARIABLE_VALUE\022\016dense_1/kernel\0326layer_with_weights-1/kernel/.ATTRIBUTES/VARIABLE_VALUE\nV\022T\n\016VARIABLE_VALUE\022\014dense_1/bias\0324layer_with_weights-1/bias/.ATTRIBUTES/VARIABLE_VALUE\n\000\n\016\n\005\010\017\022\0010\n\005\010\020\022\0011\n\016\n\005\010\017\022\0010\n\005\010\020\022\0011\n\255\001\n\n\010\037\022\006layers\n\037\010 \022\033layer_regularization_losses\n\033\010!\022\027non_trainable_variables\n\021\010\"\022\rlayer_metrics\n\031\010\021\022\025regularization_losses\n\013\010#\022\007metrics\n\r\010\022\022\tvariables\n\027\010\023\022\023trainable_variables\n\016\n\005\010\001\022\0010\n\005\010\002\022\0011\n\000\n\000\n\000\n\016\n\005\010$\022\0010\n\005\010%\022\0011\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n4\n\t\010&\022\005total\n\t\010\'\022\005count\n\r\010(\022\tvariables\n\r\010)\022\tkeras_api\nD\n\t\010*\022\005total\n\t\010+\022\005count\n\016\010,\022\n_fn_kwargs\n\r\010-\022\tvariables\n\r\010.\022\tkeras_api\nO\022M\n\016VARIABLE_VALUE\022\005total\0324keras_api/metrics/0/total/.ATTRIBUTES/VARIABLE_VALUE\nO\022M\n\016VARIABLE_VALUE\022\005count\0324keras_api/metrics/0/count/.ATTRIBUTES/VARIABLE_VALUE\n\016\n\005\010&\022\0010\n\005\010\'\022\0011\n\017\n\r\010(\022\tvariables\nQ\022O\n\016VARIABLE_VALUE\022\007total_1\0324keras_api/metrics/1/total/.ATTRIBUTES/VARIABLE_VALUE\nQ\022O\n\016VARIABLE_VALUE\022\007count_1\0324keras_api/metrics/1/count/.ATTRIBUTES/VARIABLE_VALUE\n\000\n\016\n\005\010*\022\0010\n\005\010+\022\0011\n\017\n\r\010-\022\tvariables"
}
}
}
}
node {
name: "serving_default_input_1"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "shape"
value {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
node {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "serving_default_input_1"
input: "dense/kernel"
input: "dense/bias"
input: "dense_1/kernel"
input: "dense_1/bias"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
i: 3
i: 4
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_signature_wrapper_6671"
}
}
}
}
node {
name: "saver_filename"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "shape"
value {
shape {
}
}
}
}
node {
name: "StatefulPartitionedCall_1"
op: "StatefulPartitionedCall"
input: "saver_filename"
input: "dense/kernel/Read/ReadVariableOp"
input: "dense/bias/Read/ReadVariableOp"
input: "dense_1/kernel/Read/ReadVariableOp"
input: "dense_1/bias/Read/ReadVariableOp"
input: "total/Read/ReadVariableOp"
input: "count/Read/ReadVariableOp"
input: "total_1/Read/ReadVariableOp"
input: "count_1/Read/ReadVariableOp"
input: "Const"
attr {
key: "Tin"
value {
list {
type: DT_STRING
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_STRING
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_STRING
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference__traced_save_6824"
}
}
}
}
node {
name: "StatefulPartitionedCall_2"
op: "StatefulPartitionedCall"
input: "saver_filename"
input: "dense/kernel"
input: "dense/bias"
input: "dense_1/kernel"
input: "dense_1/bias"
input: "total"
input: "count"
input: "total_1"
input: "count_1"
attr {
key: "Tin"
value {
list {
type: DT_STRING
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_STRING
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference__traced_restore_6860"
}
}
}
}
library {
function {
signature {
name: "__inference__traced_restore_6860"
input_arg {
name: "file_prefix"
type: DT_STRING
}
input_arg {
name: "assignvariableop_dense_kernel"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_1_dense_bias"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_2_dense_1_kernel"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_3_dense_1_bias"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_4_total"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_5_count"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_6_total_1"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_7_count_1"
type: DT_RESOURCE
}
output_arg {
name: "identity_9"
type: DT_STRING
}
is_stateful: true
control_output: "AssignVariableOp"
control_output: "AssignVariableOp_1"
control_output: "AssignVariableOp_2"
control_output: "AssignVariableOp_3"
control_output: "AssignVariableOp_4"
control_output: "AssignVariableOp_5"
control_output: "AssignVariableOp_6"
control_output: "AssignVariableOp_7"
control_output: "RestoreV2"
control_output: "RestoreV2_1"
}
node_def {
name: "RestoreV2/tensor_names"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 8
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 8
}
}
string_val: "layer_with_weights-0/kernel/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "layer_with_weights-0/bias/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "layer_with_weights-1/kernel/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "layer_with_weights-1/bias/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "keras_api/metrics/0/total/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "keras_api/metrics/0/count/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "keras_api/metrics/1/total/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "keras_api/metrics/1/count/.ATTRIBUTES/VARIABLE_VALUE"
}
}
}
experimental_debug_info {
original_node_names: "RestoreV2/tensor_names"
}
}
node_def {
name: "RestoreV2/shape_and_slices"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 8
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 8
}
}
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
}
}
}
experimental_debug_info {
original_node_names: "RestoreV2/shape_and_slices"
}
}
node_def {
name: "RestoreV2"
op: "RestoreV2"
input: "file_prefix"
input: "RestoreV2/tensor_names:output:0"
input: "RestoreV2/shape_and_slices:output:0"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
attr {
key: "dtypes"
value {
list {
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
}
}
}
experimental_debug_info {
original_node_names: "RestoreV2"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "RestoreV2:tensors:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
node_def {
name: "AssignVariableOp"
op: "AssignVariableOp"
input: "assignvariableop_dense_kernel"
input: "Identity:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp"
}
}
node_def {
name: "Identity_1"
op: "Identity"
input: "RestoreV2:tensors:1"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_1"
}
}
node_def {
name: "AssignVariableOp_1"
op: "AssignVariableOp"
input: "assignvariableop_1_dense_bias"
input: "Identity_1:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_1"
}
}
node_def {
name: "Identity_2"
op: "Identity"
input: "RestoreV2:tensors:2"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_2"
}
}
node_def {
name: "AssignVariableOp_2"
op: "AssignVariableOp"
input: "assignvariableop_2_dense_1_kernel"
input: "Identity_2:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_2"
}
}
node_def {
name: "Identity_3"
op: "Identity"
input: "RestoreV2:tensors:3"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_3"
}
}
node_def {
name: "AssignVariableOp_3"
op: "AssignVariableOp"
input: "assignvariableop_3_dense_1_bias"
input: "Identity_3:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_3"
}
}
node_def {
name: "Identity_4"
op: "Identity"
input: "RestoreV2:tensors:4"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_4"
}
}
node_def {
name: "AssignVariableOp_4"
op: "AssignVariableOp"
input: "assignvariableop_4_total"
input: "Identity_4:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_4"
}
}
node_def {
name: "Identity_5"
op: "Identity"
input: "RestoreV2:tensors:5"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_5"
}
}
node_def {
name: "AssignVariableOp_5"
op: "AssignVariableOp"
input: "assignvariableop_5_count"
input: "Identity_5:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_5"
}
}
node_def {
name: "Identity_6"
op: "Identity"
input: "RestoreV2:tensors:6"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_6"
}
}
node_def {
name: "AssignVariableOp_6"
op: "AssignVariableOp"
input: "assignvariableop_6_total_1"
input: "Identity_6:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_6"
}
}
node_def {
name: "Identity_7"
op: "Identity"
input: "RestoreV2:tensors:7"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_7"
}
}
node_def {
name: "AssignVariableOp_7"
op: "AssignVariableOp"
input: "assignvariableop_7_count_1"
input: "Identity_7:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_7"
}
}
node_def {
name: "RestoreV2_1/tensor_names"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 1
}
}
string_val: "_CHECKPOINTABLE_OBJECT_GRAPH"
}
}
}
experimental_debug_info {
original_node_names: "RestoreV2_1/tensor_names"
}
}
node_def {
name: "RestoreV2_1/shape_and_slices"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 1
}
}
string_val: ""
}
}
}
experimental_debug_info {
original_node_names: "RestoreV2_1/shape_and_slices"
}
}
node_def {
name: "RestoreV2_1"
op: "RestoreV2"
input: "file_prefix"
input: "RestoreV2_1/tensor_names:output:0"
input: "RestoreV2_1/shape_and_slices:output:0"
input: "^RestoreV2"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
attr {
key: "dtypes"
value {
list {
type: DT_STRING
}
}
}
experimental_debug_info {
original_node_names: "RestoreV2_1"
}
}
node_def {
name: "NoOp"
op: "NoOp"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
experimental_debug_info {
original_node_names: "NoOp"
}
}
node_def {
name: "Identity_8"
op: "Identity"
input: "file_prefix"
input: "^AssignVariableOp"
input: "^AssignVariableOp_1"
input: "^AssignVariableOp_2"
input: "^AssignVariableOp_3"
input: "^AssignVariableOp_4"
input: "^AssignVariableOp_5"
input: "^AssignVariableOp_6"
input: "^AssignVariableOp_7"
input: "^NoOp"
device: "/device:CPU:0"
attr {
key: "T"
value {
type: DT_STRING
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_8"
}
}
node_def {
name: "Identity_9"
op: "Identity"
input: "Identity_8:output:0"
input: "^AssignVariableOp"
input: "^AssignVariableOp_1"
input: "^AssignVariableOp_2"
input: "^AssignVariableOp_3"
input: "^AssignVariableOp_4"
input: "^AssignVariableOp_5"
input: "^AssignVariableOp_6"
input: "^AssignVariableOp_7"
input: "^RestoreV2"
input: "^RestoreV2_1"
attr {
key: "T"
value {
type: DT_STRING
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_9"
}
}
ret {
key: "identity_9"
value: "Identity_9:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "AssignVariableOp"
value: "AssignVariableOp"
}
control_ret {
key: "AssignVariableOp_1"
value: "AssignVariableOp_1"
}
control_ret {
key: "AssignVariableOp_2"
value: "AssignVariableOp_2"
}
control_ret {
key: "AssignVariableOp_3"
value: "AssignVariableOp_3"
}
control_ret {
key: "AssignVariableOp_4"
value: "AssignVariableOp_4"
}
control_ret {
key: "AssignVariableOp_5"
value: "AssignVariableOp_5"
}
control_ret {
key: "AssignVariableOp_6"
value: "AssignVariableOp_6"
}
control_ret {
key: "AssignVariableOp_7"
value: "AssignVariableOp_7"
}
control_ret {
key: "RestoreV2"
value: "RestoreV2"
}
control_ret {
key: "RestoreV2_1"
value: "RestoreV2_1"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "file_prefix"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 5
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 6
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 7
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 8
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_sequential_layer_call_fn_6629"
input_arg {
name: "input_1"
type: DT_INT32
}
input_arg {
name: "unknown"
type: DT_RESOURCE
}
input_arg {
name: "unknown_0"
type: DT_RESOURCE
}
input_arg {
name: "unknown_1"
type: DT_RESOURCE
}
input_arg {
name: "unknown_2"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "input_1"
input: "unknown"
input: "unknown_0"
input: "unknown_1"
input: "unknown_2"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
i: 3
i: 4
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_sequential_layer_call_and_return_conditional_losses_6618"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "input_1"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_sequential_layer_call_and_return_conditional_losses_6587"
input_arg {
name: "input_1"
type: DT_INT32
}
input_arg {
name: "dense_6555"
type: DT_RESOURCE
}
input_arg {
name: "dense_6557"
type: DT_RESOURCE
}
input_arg {
name: "dense_1_6581"
type: DT_RESOURCE
}
input_arg {
name: "dense_1_6583"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
control_output: "dense/StatefulPartitionedCall"
control_output: "dense_1/StatefulPartitionedCall"
}
node_def {
name: "dense/StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "input_1"
input: "dense_6555"
input: "dense_6557"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_dense_layer_call_and_return_conditional_losses_6544"
}
}
}
experimental_debug_info {
original_node_names: "dense/StatefulPartitionedCall"
}
}
node_def {
name: "dense_1/StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "dense/StatefulPartitionedCall:output:0"
input: "dense_1_6581"
input: "dense_1_6583"
attr {
key: "Tin"
value {
list {
type: DT_FLOAT
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_dense_1_layer_call_and_return_conditional_losses_6570"
}
}
}
experimental_debug_info {
original_node_names: "dense_1/StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "dense_1/StatefulPartitionedCall:output:0"
input: "^dense/StatefulPartitionedCall"
input: "^dense_1/StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "dense/StatefulPartitionedCall"
value: "dense/StatefulPartitionedCall"
}
control_ret {
key: "dense_1/StatefulPartitionedCall"
value: "dense_1/StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "input_1"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_sequential_layer_call_and_return_conditional_losses_6618"
input_arg {
name: "inputs"
type: DT_INT32
}
input_arg {
name: "dense_6607"
type: DT_RESOURCE
}
input_arg {
name: "dense_6609"
type: DT_RESOURCE
}
input_arg {
name: "dense_1_6612"
type: DT_RESOURCE
}
input_arg {
name: "dense_1_6614"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
control_output: "dense/StatefulPartitionedCall"
control_output: "dense_1/StatefulPartitionedCall"
}
node_def {
name: "dense/StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "inputs"
input: "dense_6607"
input: "dense_6609"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_dense_layer_call_and_return_conditional_losses_6544"
}
}
}
experimental_debug_info {
original_node_names: "dense/StatefulPartitionedCall"
}
}
node_def {
name: "dense_1/StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "dense/StatefulPartitionedCall:output:0"
input: "dense_1_6612"
input: "dense_1_6614"
attr {
key: "Tin"
value {
list {
type: DT_FLOAT
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_dense_1_layer_call_and_return_conditional_losses_6570"
}
}
}
experimental_debug_info {
original_node_names: "dense_1/StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "dense_1/StatefulPartitionedCall:output:0"
input: "^dense/StatefulPartitionedCall"
input: "^dense_1/StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "dense/StatefulPartitionedCall"
value: "dense/StatefulPartitionedCall"
}
control_ret {
key: "dense_1/StatefulPartitionedCall"
value: "dense_1/StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inputs"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_sequential_layer_call_fn_6656"
input_arg {
name: "input_1"
type: DT_INT32
}
input_arg {
name: "unknown"
type: DT_RESOURCE
}
input_arg {
name: "unknown_0"
type: DT_RESOURCE
}
input_arg {
name: "unknown_1"
type: DT_RESOURCE
}
input_arg {
name: "unknown_2"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "input_1"
input: "unknown"
input: "unknown_0"
input: "unknown_1"
input: "unknown_2"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
i: 3
i: 4
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_sequential_layer_call_and_return_conditional_losses_6645"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "input_1"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_dense_1_layer_call_and_return_conditional_losses_6764"
input_arg {
name: "inputs"
type: DT_FLOAT
}
input_arg {
name: "matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "biasadd_readvariableop_resource"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
}
node_def {
name: "MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "MatMul/ReadVariableOp"
}
}
node_def {
name: "MatMul"
op: "MatMul"
input: "inputs"
input: "MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "MatMul"
}
}
node_def {
name: "BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "BiasAdd/ReadVariableOp"
}
}
node_def {
name: "BiasAdd"
op: "BiasAdd"
input: "MatMul:product:0"
input: "BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "BiasAdd"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "BiasAdd:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inputs"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_dense_layer_call_fn_6754"
input_arg {
name: "inputs"
type: DT_INT32
}
input_arg {
name: "unknown"
type: DT_RESOURCE
}
input_arg {
name: "unknown_0"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "inputs"
input: "unknown"
input: "unknown_0"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_dense_layer_call_and_return_conditional_losses_6544"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inputs"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference__traced_save_6824"
input_arg {
name: "file_prefix"
type: DT_STRING
}
input_arg {
name: "savev2_dense_kernel_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_dense_bias_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_dense_1_kernel_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_dense_1_bias_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_total_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_count_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_total_1_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_count_1_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_1_const"
type: DT_STRING
}
output_arg {
name: "identity_1"
type: DT_STRING
}
is_stateful: true
control_output: "MergeV2Checkpoints"
control_output: "SaveV2"
control_output: "SaveV2_1"
}
node_def {
name: "StaticRegexFullMatch"
op: "StaticRegexFullMatch"
input: "file_prefix"
device: "/device:CPU:*"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "pattern"
value {
s: "^s3://.*"
}
}
experimental_debug_info {
original_node_names: "StaticRegexFullMatch"
}
}
node_def {
name: "Const"
op: "Const"
device: "/device:CPU:*"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
}
string_val: ".part"
}
}
}
experimental_debug_info {
original_node_names: "Const"
}
}
node_def {
name: "Const_1"
op: "Const"
device: "/device:CPU:*"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
}
string_val: "_temp_6f1e5fef49bb4c06ace07a8a95dfbb1b/part"
}
}
}
experimental_debug_info {
original_node_names: "Const_1"
}
}
node_def {
name: "Select"
op: "Select"
input: "StaticRegexFullMatch:output:0"
input: "Const:output:0"
input: "Const_1:output:0"
device: "/device:CPU:*"
attr {
key: "T"
value {
type: DT_STRING
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Select"
}
}
node_def {
name: "StringJoin"
op: "StringJoin"
input: "file_prefix"
input: "Select:output:0"
device: "/device:CPU:*"
attr {
key: "N"
value {
i: 2
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "StringJoin"
}
}
node_def {
name: "num_shards"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: 2
}
}
}
experimental_debug_info {
original_node_names: "num_shards"
}
}
node_def {
name: "ShardedFilename/shard"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: 0
}
}
}
experimental_debug_info {
original_node_names: "ShardedFilename/shard"
}
}
node_def {
name: "ShardedFilename"
op: "ShardedFilename"
input: "StringJoin:output:0"
input: "ShardedFilename/shard:output:0"
input: "num_shards:output:0"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "ShardedFilename"
}
}
node_def {
name: "SaveV2/tensor_names"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 8
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 8
}
}
string_val: "layer_with_weights-0/kernel/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "layer_with_weights-0/bias/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "layer_with_weights-1/kernel/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "layer_with_weights-1/bias/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "keras_api/metrics/0/total/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "keras_api/metrics/0/count/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "keras_api/metrics/1/total/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "keras_api/metrics/1/count/.ATTRIBUTES/VARIABLE_VALUE"
}
}
}
experimental_debug_info {
original_node_names: "SaveV2/tensor_names"
}
}
node_def {
name: "SaveV2/shape_and_slices"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 8
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 8
}
}
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
}
}
}
experimental_debug_info {
original_node_names: "SaveV2/shape_and_slices"
}
}
node_def {
name: "SaveV2"
op: "SaveV2"
input: "ShardedFilename:filename:0"
input: "SaveV2/tensor_names:output:0"
input: "SaveV2/shape_and_slices:output:0"
input: "savev2_dense_kernel_read_readvariableop"
input: "savev2_dense_bias_read_readvariableop"
input: "savev2_dense_1_kernel_read_readvariableop"
input: "savev2_dense_1_bias_read_readvariableop"
input: "savev2_total_read_readvariableop"
input: "savev2_count_read_readvariableop"
input: "savev2_total_1_read_readvariableop"
input: "savev2_count_1_read_readvariableop"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtypes"
value {
list {
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
}
}
}
experimental_debug_info {
original_node_names: "SaveV2"
}
}
node_def {
name: "ShardedFilename_1/shard"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: 1
}
}
}
experimental_debug_info {
original_node_names: "ShardedFilename_1/shard"
}
}
node_def {
name: "ShardedFilename_1"
op: "ShardedFilename"
input: "StringJoin:output:0"
input: "ShardedFilename_1/shard:output:0"
input: "num_shards:output:0"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "ShardedFilename_1"
}
}
node_def {
name: "SaveV2_1/tensor_names"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 1
}
}
string_val: "_CHECKPOINTABLE_OBJECT_GRAPH"
}
}
}
experimental_debug_info {
original_node_names: "SaveV2_1/tensor_names"
}
}
node_def {
name: "SaveV2_1/shape_and_slices"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 1
}
}
string_val: ""
}
}
}
experimental_debug_info {
original_node_names: "SaveV2_1/shape_and_slices"
}
}
node_def {
name: "SaveV2_1"
op: "SaveV2"
input: "ShardedFilename_1:filename:0"
input: "SaveV2_1/tensor_names:output:0"
input: "SaveV2_1/shape_and_slices:output:0"
input: "savev2_1_const"
input: "^SaveV2"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtypes"
value {
list {
type: DT_STRING
}
}
}
experimental_debug_info {
original_node_names: "SaveV2_1"
}
}
node_def {
name: "MergeV2Checkpoints/checkpoint_prefixes"
op: "Pack"
input: "ShardedFilename:filename:0"
input: "ShardedFilename_1:filename:0"
input: "^SaveV2"
input: "^SaveV2_1"
device: "/device:CPU:0"
attr {
key: "N"
value {
i: 2
}
}
attr {
key: "T"
value {
type: DT_STRING
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 2
}
}
}
}
}
experimental_debug_info {
original_node_names: "MergeV2Checkpoints/checkpoint_prefixes"
}
}
node_def {
name: "MergeV2Checkpoints"
op: "MergeV2Checkpoints"
input: "MergeV2Checkpoints/checkpoint_prefixes:output:0"
input: "file_prefix"
input: "^SaveV2_1"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
experimental_debug_info {
original_node_names: "MergeV2Checkpoints"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "file_prefix"
input: "^MergeV2Checkpoints"
device: "/device:CPU:0"
attr {
key: "T"
value {
type: DT_STRING
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
node_def {
name: "Identity_1"
op: "Identity"
input: "Identity:output:0"
input: "^MergeV2Checkpoints"
input: "^SaveV2"
input: "^SaveV2_1"
attr {
key: "T"
value {
type: DT_STRING
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_1"
}
}
ret {
key: "identity_1"
value: "Identity_1:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
}
shape {
dim {
size: 214
}
dim {
size: 100
}
}
shape {
dim {
size: 100
}
}
shape {
dim {
size: 100
}
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
}
shape {
}
shape {
}
shape {
}
shape {
}
}
}
}
control_ret {
key: "MergeV2Checkpoints"
value: "MergeV2Checkpoints"
}
control_ret {
key: "SaveV2"
value: "SaveV2"
}
control_ret {
key: "SaveV2_1"
value: "SaveV2_1"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "file_prefix"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 214
}
dim {
size: 100
}
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
dim {
size: 1
}
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
}
}
arg_attr {
key: 5
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 6
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 7
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 8
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 9
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_sequential_layer_call_and_return_conditional_losses_6689"
input_arg {
name: "inputs"
type: DT_INT32
}
input_arg {
name: "dense_matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "dense_biasadd_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "dense_1_matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "dense_1_biasadd_readvariableop_resource"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
}
node_def {
name: "dense/Cast"
op: "Cast"
input: "inputs"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
experimental_debug_info {
original_node_names: "dense/Cast"
}
}
node_def {
name: "dense/MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "dense_matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 214
}
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "dense/MatMul/ReadVariableOp"
}
}
node_def {
name: "dense/MatMul"
op: "MatMul"
input: "dense/Cast:y:0"
input: "dense/MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "dense/MatMul"
}
}
node_def {
name: "dense/BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "dense_biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "dense/BiasAdd/ReadVariableOp"
}
}
node_def {
name: "dense/BiasAdd"
op: "BiasAdd"
input: "dense/MatMul:product:0"
input: "dense/BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "dense/BiasAdd"
}
}
node_def {
name: "dense/Relu"
op: "Relu"
input: "dense/BiasAdd:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "dense/Relu"
}
}
node_def {
name: "dense_1/MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "dense_1_matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "dense_1/MatMul/ReadVariableOp"
}
}
node_def {
name: "dense_1/MatMul"
op: "MatMul"
input: "dense/Relu:activations:0"
input: "dense_1/MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "dense_1/MatMul"
}
}
node_def {
name: "dense_1/BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "dense_1_biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "dense_1/BiasAdd/ReadVariableOp"
}
}
node_def {
name: "dense_1/BiasAdd"
op: "BiasAdd"
input: "dense_1/MatMul:product:0"
input: "dense_1/BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "dense_1/BiasAdd"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "dense_1/BiasAdd:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inputs"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_dense_layer_call_and_return_conditional_losses_6745"
input_arg {
name: "inputs"
type: DT_INT32
}
input_arg {
name: "matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "biasadd_readvariableop_resource"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
}
node_def {
name: "Cast"
op: "Cast"
input: "inputs"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
experimental_debug_info {
original_node_names: "Cast"
}
}
node_def {
name: "MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 214
}
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "MatMul/ReadVariableOp"
}
}
node_def {
name: "MatMul"
op: "MatMul"
input: "Cast:y:0"
input: "MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "MatMul"
}
}
node_def {
name: "BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "BiasAdd/ReadVariableOp"
}
}
node_def {
name: "BiasAdd"
op: "BiasAdd"
input: "MatMul:product:0"
input: "BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "BiasAdd"
}
}
node_def {
name: "Relu"
op: "Relu"
input: "BiasAdd:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "Relu"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "Relu:activations:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inputs"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_dense_1_layer_call_fn_6773"
input_arg {
name: "inputs"
type: DT_FLOAT
}
input_arg {
name: "unknown"
type: DT_RESOURCE
}
input_arg {
name: "unknown_0"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "inputs"
input: "unknown"
input: "unknown_0"
attr {
key: "Tin"
value {
list {
type: DT_FLOAT
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_dense_1_layer_call_and_return_conditional_losses_6570"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inputs"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference__wrapped_model_6528"
input_arg {
name: "input_1"
type: DT_INT32
}
input_arg {
name: "sequential_dense_matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "sequential_dense_biasadd_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "sequential_dense_1_matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "sequential_dense_1_biasadd_readvariableop_resource"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
}
node_def {
name: "sequential/dense/Cast"
op: "Cast"
input: "input_1"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
experimental_debug_info {
original_node_names: "sequential/dense/Cast"
}
}
node_def {
name: "sequential/dense/MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "sequential_dense_matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 214
}
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "sequential/dense/MatMul/ReadVariableOp"
}
}
node_def {
name: "sequential/dense/MatMul"
op: "MatMul"
input: "sequential/dense/Cast:y:0"
input: "sequential/dense/MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "sequential/dense/MatMul"
}
}
node_def {
name: "sequential/dense/BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "sequential_dense_biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "sequential/dense/BiasAdd/ReadVariableOp"
}
}
node_def {
name: "sequential/dense/BiasAdd"
op: "BiasAdd"
input: "sequential/dense/MatMul:product:0"
input: "sequential/dense/BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "sequential/dense/BiasAdd"
}
}
node_def {
name: "sequential/dense/Relu"
op: "Relu"
input: "sequential/dense/BiasAdd:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "sequential/dense/Relu"
}
}
node_def {
name: "sequential/dense_1/MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "sequential_dense_1_matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "sequential/dense_1/MatMul/ReadVariableOp"
}
}
node_def {
name: "sequential/dense_1/MatMul"
op: "MatMul"
input: "sequential/dense/Relu:activations:0"
input: "sequential/dense_1/MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "sequential/dense_1/MatMul"
}
}
node_def {
name: "sequential/dense_1/BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "sequential_dense_1_biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "sequential/dense_1/BiasAdd/ReadVariableOp"
}
}
node_def {
name: "sequential/dense_1/BiasAdd"
op: "BiasAdd"
input: "sequential/dense_1/MatMul:product:0"
input: "sequential/dense_1/BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "sequential/dense_1/BiasAdd"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "sequential/dense_1/BiasAdd:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "input_1"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_dense_layer_call_and_return_conditional_losses_6544"
input_arg {
name: "inputs"
type: DT_INT32
}
input_arg {
name: "matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "biasadd_readvariableop_resource"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
}
node_def {
name: "Cast"
op: "Cast"
input: "inputs"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
experimental_debug_info {
original_node_names: "Cast"
}
}
node_def {
name: "MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 214
}
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "MatMul/ReadVariableOp"
}
}
node_def {
name: "MatMul"
op: "MatMul"
input: "Cast:y:0"
input: "MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "MatMul"
}
}
node_def {
name: "BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "BiasAdd/ReadVariableOp"
}
}
node_def {
name: "BiasAdd"
op: "BiasAdd"
input: "MatMul:product:0"
input: "BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "BiasAdd"
}
}
node_def {
name: "Relu"
op: "Relu"
input: "BiasAdd:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "Relu"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "Relu:activations:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inputs"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_sequential_layer_call_and_return_conditional_losses_6601"
input_arg {
name: "input_1"
type: DT_INT32
}
input_arg {
name: "dense_6590"
type: DT_RESOURCE
}
input_arg {
name: "dense_6592"
type: DT_RESOURCE
}
input_arg {
name: "dense_1_6595"
type: DT_RESOURCE
}
input_arg {
name: "dense_1_6597"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
control_output: "dense/StatefulPartitionedCall"
control_output: "dense_1/StatefulPartitionedCall"
}
node_def {
name: "dense/StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "input_1"
input: "dense_6590"
input: "dense_6592"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_dense_layer_call_and_return_conditional_losses_6544"
}
}
}
experimental_debug_info {
original_node_names: "dense/StatefulPartitionedCall"
}
}
node_def {
name: "dense_1/StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "dense/StatefulPartitionedCall:output:0"
input: "dense_1_6595"
input: "dense_1_6597"
attr {
key: "Tin"
value {
list {
type: DT_FLOAT
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_dense_1_layer_call_and_return_conditional_losses_6570"
}
}
}
experimental_debug_info {
original_node_names: "dense_1/StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "dense_1/StatefulPartitionedCall:output:0"
input: "^dense/StatefulPartitionedCall"
input: "^dense_1/StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "dense/StatefulPartitionedCall"
value: "dense/StatefulPartitionedCall"
}
control_ret {
key: "dense_1/StatefulPartitionedCall"
value: "dense_1/StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "input_1"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_sequential_layer_call_fn_6733"
input_arg {
name: "inputs"
type: DT_INT32
}
input_arg {
name: "unknown"
type: DT_RESOURCE
}
input_arg {
name: "unknown_0"
type: DT_RESOURCE
}
input_arg {
name: "unknown_1"
type: DT_RESOURCE
}
input_arg {
name: "unknown_2"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "inputs"
input: "unknown"
input: "unknown_0"
input: "unknown_1"
input: "unknown_2"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
i: 3
i: 4
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_sequential_layer_call_and_return_conditional_losses_6645"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inputs"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_sequential_layer_call_and_return_conditional_losses_6645"
input_arg {
name: "inputs"
type: DT_INT32
}
input_arg {
name: "dense_6634"
type: DT_RESOURCE
}
input_arg {
name: "dense_6636"
type: DT_RESOURCE
}
input_arg {
name: "dense_1_6639"
type: DT_RESOURCE
}
input_arg {
name: "dense_1_6641"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
control_output: "dense/StatefulPartitionedCall"
control_output: "dense_1/StatefulPartitionedCall"
}
node_def {
name: "dense/StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "inputs"
input: "dense_6634"
input: "dense_6636"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_dense_layer_call_and_return_conditional_losses_6544"
}
}
}
experimental_debug_info {
original_node_names: "dense/StatefulPartitionedCall"
}
}
node_def {
name: "dense_1/StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "dense/StatefulPartitionedCall:output:0"
input: "dense_1_6639"
input: "dense_1_6641"
attr {
key: "Tin"
value {
list {
type: DT_FLOAT
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_dense_1_layer_call_and_return_conditional_losses_6570"
}
}
}
experimental_debug_info {
original_node_names: "dense_1/StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "dense_1/StatefulPartitionedCall:output:0"
input: "^dense/StatefulPartitionedCall"
input: "^dense_1/StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "dense/StatefulPartitionedCall"
value: "dense/StatefulPartitionedCall"
}
control_ret {
key: "dense_1/StatefulPartitionedCall"
value: "dense_1/StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inputs"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_dense_1_layer_call_and_return_conditional_losses_6570"
input_arg {
name: "inputs"
type: DT_FLOAT
}
input_arg {
name: "matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "biasadd_readvariableop_resource"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
}
node_def {
name: "MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "MatMul/ReadVariableOp"
}
}
node_def {
name: "MatMul"
op: "MatMul"
input: "inputs"
input: "MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "MatMul"
}
}
node_def {
name: "BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "BiasAdd/ReadVariableOp"
}
}
node_def {
name: "BiasAdd"
op: "BiasAdd"
input: "MatMul:product:0"
input: "BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "BiasAdd"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "BiasAdd:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inputs"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_signature_wrapper_6671"
input_arg {
name: "input_1"
type: DT_INT32
}
input_arg {
name: "unknown"
type: DT_RESOURCE
}
input_arg {
name: "unknown_0"
type: DT_RESOURCE
}
input_arg {
name: "unknown_1"
type: DT_RESOURCE
}
input_arg {
name: "unknown_2"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "input_1"
input: "unknown"
input: "unknown_0"
input: "unknown_1"
input: "unknown_2"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
i: 3
i: 4
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference__wrapped_model_6528"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "input_1"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_sequential_layer_call_fn_6720"
input_arg {
name: "inputs"
type: DT_INT32
}
input_arg {
name: "unknown"
type: DT_RESOURCE
}
input_arg {
name: "unknown_0"
type: DT_RESOURCE
}
input_arg {
name: "unknown_1"
type: DT_RESOURCE
}
input_arg {
name: "unknown_2"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "inputs"
input: "unknown"
input: "unknown_0"
input: "unknown_1"
input: "unknown_2"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_FLOAT
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 1
i: 2
i: 3
i: 4
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0002\002J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_sequential_layer_call_and_return_conditional_losses_6618"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inputs"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_sequential_layer_call_and_return_conditional_losses_6707"
input_arg {
name: "inputs"
type: DT_INT32
}
input_arg {
name: "dense_matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "dense_biasadd_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "dense_1_matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "dense_1_biasadd_readvariableop_resource"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_FLOAT
}
is_stateful: true
}
node_def {
name: "dense/Cast"
op: "Cast"
input: "inputs"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
experimental_debug_info {
original_node_names: "dense/Cast"
}
}
node_def {
name: "dense/MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "dense_matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 214
}
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "dense/MatMul/ReadVariableOp"
}
}
node_def {
name: "dense/MatMul"
op: "MatMul"
input: "dense/Cast:y:0"
input: "dense/MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "dense/MatMul"
}
}
node_def {
name: "dense/BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "dense_biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "dense/BiasAdd/ReadVariableOp"
}
}
node_def {
name: "dense/BiasAdd"
op: "BiasAdd"
input: "dense/MatMul:product:0"
input: "dense/BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "dense/BiasAdd"
}
}
node_def {
name: "dense/Relu"
op: "Relu"
input: "dense/BiasAdd:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "dense/Relu"
}
}
node_def {
name: "dense_1/MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "dense_1_matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "dense_1/MatMul/ReadVariableOp"
}
}
node_def {
name: "dense_1/MatMul"
op: "MatMul"
input: "dense/Relu:activations:0"
input: "dense_1/MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "dense_1/MatMul"
}
}
node_def {
name: "dense_1/BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "dense_1_biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "dense_1/BiasAdd/ReadVariableOp"
}
}
node_def {
name: "dense_1/BiasAdd"
op: "BiasAdd"
input: "dense_1/MatMul:product:0"
input: "dense_1/BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "dense_1/BiasAdd"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "dense_1/BiasAdd:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inputs"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
}
versions {
producer: 331
min_consumer: 12
}
}
saver_def {
filename_tensor_name: "saver_filename:0"
save_tensor_name: "StatefulPartitionedCall_1:0"
restore_op_name: "StatefulPartitionedCall_2"
version: V2
}
collection_def {
key: "saved_model_main_op"
value {
node_list {
value: "NoOp"
}
}
}
signature_def {
key: "__saved_model_init_op"
value {
outputs {
key: "__saved_model_init_op"
value {
name: "NoOp"
tensor_shape {
unknown_rank: true
}
}
}
}
}
signature_def {
key: "serving_default"
value {
inputs {
key: "input_1"
value {
name: "serving_default_input_1:0"
dtype: DT_INT32
tensor_shape {
dim {
size: -1
}
dim {
size: 214
}
}
}
}
outputs {
key: "output_1"
value {
name: "StatefulPartitionedCall:0"
dtype: DT_FLOAT
tensor_shape {
dim {
size: -1
}
dim {
size: 1
}
}
}
}
method_name: "tensorflow/serving/predict"
}
}
object_graph_def {
nodes {
children {
node_id: 1
local_name: "layer_with_weights-0"
}
children {
node_id: 1
local_name: "layer-0"
}
children {
node_id: 2
local_name: "layer_with_weights-1"
}
children {
node_id: 2
local_name: "layer-1"
}
children {
node_id: 3
local_name: "optimizer"
}
children {
node_id: 4
local_name: "regularization_losses"
}
children {
node_id: 5
local_name: "variables"
}
children {
node_id: 6
local_name: "trainable_variables"
}
children {
node_id: 7
local_name: "keras_api"
}
children {
node_id: 8
local_name: "signatures"
}
children {
node_id: 47
local_name: "__call__"
}
children {
node_id: 48
local_name: "_default_save_signature"
}
children {
node_id: 49
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_sequential"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Sequential\", \"name\": \"sequential\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"config\": {\"name\": \"sequential\", \"layers\": [{\"class_name\": \"Dense\", \"config\": {\"name\": \"dense\", \"trainable\": true, \"dtype\": \"float32\", \"units\": 100, \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}}, {\"class_name\": \"Dense\", \"config\": {\"name\": \"dense_1\", \"trainable\": true, \"dtype\": \"float32\", \"units\": 1, \"activation\": \"linear\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}}], \"build_input_shape\": {\"class_name\": \"__tuple__\", \"items\": [null, 214]}}, \"input_spec\": {\"class_name\": \"InputSpec\", \"config\": {\"dtype\": null, \"shape\": null, \"ndim\": null, \"max_ndim\": null, \"min_ndim\": 2, \"axes\": {\"-1\": 214}}}, \"build_input_shape\": {\"class_name\": \"__tuple__\", \"items\": [null, 214]}, \"is_graph_network\": false, \"keras_version\": \"2.2.4-tf\", \"backend\": \"tensorflow\", \"model_config\": {\"class_name\": \"Sequential\", \"config\": {\"name\": \"sequential\", \"layers\": [{\"class_name\": \"Dense\", \"config\": {\"name\": \"dense\", \"trainable\": true, \"dtype\": \"float32\", \"units\": 100, \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}}, {\"class_name\": \"Dense\", \"config\": {\"name\": \"dense_1\", \"trainable\": true, \"dtype\": \"float32\", \"units\": 1, \"activation\": \"linear\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}}], \"build_input_shape\": {\"class_name\": \"__tuple__\", \"items\": [null, 214]}}}, \"training_config\": {\"loss\": \"mean_absolute_error\", \"metrics\": [\"mean_squared_error\"], \"weighted_metrics\": null, \"loss_weights\": null, \"sample_weight_mode\": null, \"optimizer_config\": {\"class_name\": \"Adam\", \"config\": {\"name\": \"Adam\", \"learning_rate\": 0.0003000000142492354, \"decay\": 0.0, \"beta_1\": 0.8999999761581421, \"beta_2\": 0.9990000128746033, \"epsilon\": 1e-07, \"amsgrad\": false}}}}"
}
}
nodes {
children {
node_id: 9
local_name: "kernel"
}
children {
node_id: 10
local_name: "bias"
}
children {
node_id: 11
local_name: "regularization_losses"
}
children {
node_id: 12
local_name: "variables"
}
children {
node_id: 13
local_name: "trainable_variables"
}
children {
node_id: 14
local_name: "keras_api"
}
children {
node_id: 50
local_name: "__call__"
}
children {
node_id: 51
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Dense\", \"name\": \"dense\", \"trainable\": true, \"expects_training_arg\": false, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"dense\", \"trainable\": true, \"dtype\": \"float32\", \"units\": 100, \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"input_spec\": {\"class_name\": \"InputSpec\", \"config\": {\"dtype\": null, \"shape\": null, \"ndim\": null, \"max_ndim\": null, \"min_ndim\": 2, \"axes\": {\"-1\": 214}}}, \"build_input_shape\": {\"class_name\": \"TensorShape\", \"items\": [null, 214]}}"
}
}
nodes {
children {
node_id: 15
local_name: "kernel"
}
children {
node_id: 16
local_name: "bias"
}
children {
node_id: 17
local_name: "regularization_losses"
}
children {
node_id: 18
local_name: "variables"
}
children {
node_id: 19
local_name: "trainable_variables"
}
children {
node_id: 20
local_name: "keras_api"
}
children {
node_id: 52
local_name: "__call__"
}
children {
node_id: 53
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Dense\", \"name\": \"dense_1\", \"trainable\": true, \"expects_training_arg\": false, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"dense_1\", \"trainable\": true, \"dtype\": \"float32\", \"units\": 1, \"activation\": \"linear\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"input_spec\": {\"class_name\": \"InputSpec\", \"config\": {\"dtype\": null, \"shape\": null, \"ndim\": null, \"max_ndim\": null, \"min_ndim\": 2, \"axes\": {\"-1\": 100}}}, \"build_input_shape\": {\"class_name\": \"TensorShape\", \"items\": [null, 100]}}"
}
}
nodes {
user_object {
identifier: "optimizer"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 9
local_name: "0"
}
children {
node_id: 10
local_name: "1"
}
children {
node_id: 15
local_name: "2"
}
children {
node_id: 16
local_name: "3"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 9
local_name: "0"
}
children {
node_id: 10
local_name: "1"
}
children {
node_id: 15
local_name: "2"
}
children {
node_id: 16
local_name: "3"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 21
local_name: "layers"
}
children {
node_id: 22
local_name: "layer_regularization_losses"
}
children {
node_id: 23
local_name: "non_trainable_variables"
}
children {
node_id: 24
local_name: "layer_metrics"
}
children {
node_id: 4
local_name: "regularization_losses"
}
children {
node_id: 25
local_name: "metrics"
}
children {
node_id: 5
local_name: "variables"
}
children {
node_id: 6
local_name: "trainable_variables"
}
children {
node_id: 47
local_name: "__call__"
}
children {
node_id: 48
local_name: "_default_save_signature"
}
children {
node_id: 49
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 49
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 54
local_name: "serving_default"
}
user_object {
identifier: "signature_map"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
dim {
size: 214
}
dim {
size: 100
}
}
trainable: true
name: "dense/kernel"
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
dim {
size: 100
}
}
trainable: true
name: "dense/bias"
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 9
local_name: "0"
}
children {
node_id: 10
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 9
local_name: "0"
}
children {
node_id: 10
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 26
local_name: "layers"
}
children {
node_id: 27
local_name: "layer_regularization_losses"
}
children {
node_id: 28
local_name: "non_trainable_variables"
}
children {
node_id: 29
local_name: "layer_metrics"
}
children {
node_id: 11
local_name: "regularization_losses"
}
children {
node_id: 30
local_name: "metrics"
}
children {
node_id: 12
local_name: "variables"
}
children {
node_id: 13
local_name: "trainable_variables"
}
children {
node_id: 50
local_name: "__call__"
}
children {
node_id: 51
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 51
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
dim {
size: 100
}
dim {
size: 1
}
}
trainable: true
name: "dense_1/kernel"
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
dim {
size: 1
}
}
trainable: true
name: "dense_1/bias"
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 15
local_name: "0"
}
children {
node_id: 16
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 15
local_name: "0"
}
children {
node_id: 16
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 31
local_name: "layers"
}
children {
node_id: 32
local_name: "layer_regularization_losses"
}
children {
node_id: 33
local_name: "non_trainable_variables"
}
children {
node_id: 34
local_name: "layer_metrics"
}
children {
node_id: 17
local_name: "regularization_losses"
}
children {
node_id: 35
local_name: "metrics"
}
children {
node_id: 18
local_name: "variables"
}
children {
node_id: 19
local_name: "trainable_variables"
}
children {
node_id: 52
local_name: "__call__"
}
children {
node_id: 53
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 53
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 1
local_name: "0"
}
children {
node_id: 2
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 36
local_name: "0"
}
children {
node_id: 37
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 38
local_name: "total"
}
children {
node_id: 39
local_name: "count"
}
children {
node_id: 40
local_name: "variables"
}
children {
node_id: 41
local_name: "keras_api"
}
user_object {
identifier: "_tf_keras_metric"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Mean\", \"name\": \"loss\", \"dtype\": \"float32\", \"config\": {\"name\": \"loss\", \"dtype\": \"float32\"}}"
}
}
nodes {
children {
node_id: 42
local_name: "total"
}
children {
node_id: 43
local_name: "count"
}
children {
node_id: 44
local_name: "_fn_kwargs"
}
children {
node_id: 45
local_name: "variables"
}
children {
node_id: 46
local_name: "keras_api"
}
user_object {
identifier: "_tf_keras_metric"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"MeanMetricWrapper\", \"name\": \"mean_squared_error\", \"dtype\": \"float32\", \"config\": {\"name\": \"mean_squared_error\", \"dtype\": \"float32\", \"fn\": \"mean_squared_error\"}}"
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
}
synchronization: VARIABLE_SYNCHRONIZATION_ON_READ
aggregation: VARIABLE_AGGREGATION_SUM
name: "total"
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
}
synchronization: VARIABLE_SYNCHRONIZATION_ON_READ
aggregation: VARIABLE_AGGREGATION_SUM
name: "count"
}
}
nodes {
children {
node_id: 38
local_name: "0"
}
children {
node_id: 39
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 40
local_name: "variables"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
}
synchronization: VARIABLE_SYNCHRONIZATION_ON_READ
aggregation: VARIABLE_AGGREGATION_SUM
name: "total"
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
}
synchronization: VARIABLE_SYNCHRONIZATION_ON_READ
aggregation: VARIABLE_AGGREGATION_SUM
name: "count"
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 42
local_name: "0"
}
children {
node_id: 43
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 45
local_name: "variables"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
function {
concrete_functions: "__inference_sequential_layer_call_fn_6629"
concrete_functions: "__inference_sequential_layer_call_fn_6733"
concrete_functions: "__inference_sequential_layer_call_fn_6720"
concrete_functions: "__inference_sequential_layer_call_fn_6656"
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "training"
}
values {
string_value: "mask"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
bool_value: false
}
values {
none_value {
}
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
concrete_functions: "__inference__wrapped_model_6528"
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
}
}
}
values {
key: "varargs"
value {
string_value: "args"
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
input_signature {
tuple_value {
values {
tensor_spec_value {
name: "input_1"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
}
}
}
}
}
nodes {
function {
concrete_functions: "__inference_sequential_layer_call_and_return_conditional_losses_6689"
concrete_functions: "__inference_sequential_layer_call_and_return_conditional_losses_6587"
concrete_functions: "__inference_sequential_layer_call_and_return_conditional_losses_6707"
concrete_functions: "__inference_sequential_layer_call_and_return_conditional_losses_6601"
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "training"
}
values {
string_value: "mask"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
bool_value: false
}
values {
none_value {
}
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
concrete_functions: "__inference_dense_layer_call_fn_6754"
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
concrete_functions: "__inference_dense_layer_call_and_return_conditional_losses_6745"
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
concrete_functions: "__inference_dense_1_layer_call_fn_6773"
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
concrete_functions: "__inference_dense_1_layer_call_and_return_conditional_losses_6764"
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
bare_concrete_function {
concrete_function_name: "__inference_signature_wrapper_6671"
argument_keywords: "input_1"
allowed_positional_arguments: 1
}
}
concrete_functions {
key: "__inference__wrapped_model_6528"
value {
bound_inputs: 9
bound_inputs: 10
bound_inputs: 15
bound_inputs: 16
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "input_1"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
dict_value {
fields {
key: "output_1"
value {
tensor_spec_value {
name: "output_1"
shape {
dim {
size: -1
}
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
}
}
}
}
concrete_functions {
key: "__inference_dense_1_layer_call_and_return_conditional_losses_6764"
value {
bound_inputs: 15
bound_inputs: 16
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "inputs"
shape {
dim {
size: -1
}
dim {
size: 100
}
}
dtype: DT_FLOAT
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
tuple_value {
values {
tensor_spec_value {
name: "0"
shape {
dim {
size: -1
}
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
values {
list_value {
}
}
}
}
}
}
concrete_functions {
key: "__inference_dense_1_layer_call_fn_6773"
value {
bound_inputs: 15
bound_inputs: 16
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "inputs"
shape {
dim {
size: -1
}
dim {
size: 100
}
}
dtype: DT_FLOAT
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
tensor_spec_value {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
}
concrete_functions {
key: "__inference_dense_layer_call_and_return_conditional_losses_6745"
value {
bound_inputs: 9
bound_inputs: 10
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "inputs"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
tuple_value {
values {
tensor_spec_value {
name: "0"
shape {
dim {
size: -1
}
dim {
size: 100
}
}
dtype: DT_FLOAT
}
}
values {
list_value {
}
}
}
}
}
}
concrete_functions {
key: "__inference_dense_layer_call_fn_6754"
value {
bound_inputs: 9
bound_inputs: 10
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "inputs"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
tensor_spec_value {
shape {
dim {
size: -1
}
dim {
size: 100
}
}
dtype: DT_FLOAT
}
}
}
}
concrete_functions {
key: "__inference_sequential_layer_call_and_return_conditional_losses_6587"
value {
bound_inputs: 9
bound_inputs: 10
bound_inputs: 15
bound_inputs: 16
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "input_1"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
values {
bool_value: true
}
values {
none_value {
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
tuple_value {
values {
tensor_spec_value {
name: "0"
shape {
dim {
size: -1
}
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
values {
list_value {
}
}
}
}
}
}
concrete_functions {
key: "__inference_sequential_layer_call_and_return_conditional_losses_6601"
value {
bound_inputs: 9
bound_inputs: 10
bound_inputs: 15
bound_inputs: 16
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "input_1"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
values {
bool_value: false
}
values {
none_value {
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
tuple_value {
values {
tensor_spec_value {
name: "0"
shape {
dim {
size: -1
}
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
values {
list_value {
}
}
}
}
}
}
concrete_functions {
key: "__inference_sequential_layer_call_and_return_conditional_losses_6689"
value {
bound_inputs: 9
bound_inputs: 10
bound_inputs: 15
bound_inputs: 16
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "inputs"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
values {
bool_value: true
}
values {
none_value {
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
tuple_value {
values {
tensor_spec_value {
name: "0"
shape {
dim {
size: -1
}
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
values {
list_value {
}
}
}
}
}
}
concrete_functions {
key: "__inference_sequential_layer_call_and_return_conditional_losses_6707"
value {
bound_inputs: 9
bound_inputs: 10
bound_inputs: 15
bound_inputs: 16
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "inputs"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
values {
bool_value: false
}
values {
none_value {
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
tuple_value {
values {
tensor_spec_value {
name: "0"
shape {
dim {
size: -1
}
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
values {
list_value {
}
}
}
}
}
}
concrete_functions {
key: "__inference_sequential_layer_call_fn_6629"
value {
bound_inputs: 9
bound_inputs: 10
bound_inputs: 15
bound_inputs: 16
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "input_1"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
values {
bool_value: true
}
values {
none_value {
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
tensor_spec_value {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
}
concrete_functions {
key: "__inference_sequential_layer_call_fn_6656"
value {
bound_inputs: 9
bound_inputs: 10
bound_inputs: 15
bound_inputs: 16
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "input_1"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
values {
bool_value: false
}
values {
none_value {
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
tensor_spec_value {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
}
concrete_functions {
key: "__inference_sequential_layer_call_fn_6720"
value {
bound_inputs: 9
bound_inputs: 10
bound_inputs: 15
bound_inputs: 16
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "inputs"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
values {
bool_value: true
}
values {
none_value {
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
tensor_spec_value {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
}
concrete_functions {
key: "__inference_sequential_layer_call_fn_6733"
value {
bound_inputs: 9
bound_inputs: 10
bound_inputs: 15
bound_inputs: 16
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
tensor_spec_value {
name: "inputs"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
values {
bool_value: false
}
values {
none_value {
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
tensor_spec_value {
shape {
dim {
size: -1
}
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
}
concrete_functions {
key: "__inference_signature_wrapper_6671"
value {
bound_inputs: 9
bound_inputs: 10
bound_inputs: 15
bound_inputs: 16
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
}
}
values {
dict_value {
fields {
key: "input_1"
value {
tensor_spec_value {
name: "input_1"
shape {
dim {
size: -1
}
dim {
size: 214
}
}
dtype: DT_INT32
}
}
}
}
}
}
}
output_signature {
dict_value {
fields {
key: "output_1"
value {
tensor_spec_value {
name: "output_1"
shape {
dim {
size: -1
}
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
}
}
}
}
}
}
Codebase Browser
llvm