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How to use resolve_param method in localstack

Best Python code snippet using localstack_python

recurrent.py

Source:recurrent.py

...58                                                         W_b_init)59            self.W_o, self.b_o = self.resolve_param_pair(W_o, W_o_shape,60                                                         b_o, b_o_shape,61                                                         W_b_init)62            self.W_i = self.resolve_param(W_i, W_i_shape, W_init)63        else:64            self.W_h = self.resolve_param(W_h, W_h_shape, W_init)65            self.W_i = self.resolve_param(W_i, W_i_shape, W_init)66            self.W_o = self.resolve_param(W_o, W_o_shape, W_init)67            self.b_h = self.resolve_param(b_h, b_h_shape, b_init)68            self.b_o = self.resolve_param(b_o, b_o_shape, b_init)69    def calc_output_shape(self):70        return self.incoming_shape[:2] + (self.num_nodes,)71    def check_compatible(self, incoming):72        if not len(incoming.get_output_shape()) == 3:73            raise Exception(('Incoming layer\'s output shape %s '74                             'incompatible, try passing it through '75                             'a ReshapeLayer or SequenceFlattenLayer first')76                            % str(incoming.get_output_shape()))77    def get_base_name(self):78        return 'brnn'79    def recurrence_fn(self, h_prev, x_t):80        return self.nonlin_h(81            tf.matmul(h_prev, self.W_h) +82            tf.matmul(x_t, self.W_i) + self.b_h)83    def output_fn(self, state):84        return self.nonlin_o(85            tf.matmul(state, self.W_o) + self.b_o)86    def get_initial_hidden(self, incoming_var):87        initial_hidden = tf.matmul(88            incoming_var[:, 0, :],89            tf.zeros([self.incoming_shape[2], self.num_nodes]))90        return initial_hidden91    # def get_single_hidden_shape(self):92    #     return (1, self.num_nodes)93    def get_input_hidden_var(self, timestep=False):94        if not timestep:95            return self.input_hidden96        else:97            return self.input_timestep_hidden98    def get_output_hidden_var(self):99        return self.output_timestep_hidden100    def get_init_hidden(self):101        return self.init_hidden102    def get_assign_hidden_op(self, zero=False, **kwargs):103        if zero:104            return self.zero_hidden_op105        else:106            return self.assign_hidden_op107    def get_output(self, incoming_var,108                   timestep=False,109                   input_hidden=False,110                   **kwargs):111        if not timestep:112            if not input_hidden:113                initial_hidden = self.get_initial_hidden(incoming_var)114            else:115                self.input_hidden = tf.placeholder(116                    tf.float32,117                    self.get_initial_hidden(incoming_var).get_shape())118                initial_hidden = self.input_hidden119            incoming_var = tf.transpose(incoming_var, (1, 0, 2))120            states = tf.scan(self.recurrence_fn,121                             incoming_var,122                             initializer=initial_hidden)123            outputs = tf.map_fn(self.output_fn,124                                states)125            outputs = tf.transpose(outputs, (1, 0, 2), name='end_transpose')126            return outputs127        if input_hidden:128            self.input_timestep_hidden = tf.placeholder(129                tf.float32,130                shape=self.get_initial_hidden(incoming_var).get_shape(),131                name='timestep_hidden')132            self.init_hidden = self.get_initial_hidden(incoming_var)133            hidden = self.input_timestep_hidden134        else:135            if self.timestep_hidden is None:136                self.timestep_hidden = self.get_initial_hidden(incoming_var)137            hidden = self.timestep_hidden138        state = self.recurrence_fn(hidden, incoming_var[:, 0, :])139        if input_hidden:140            self.output_timestep_hidden = state141        else:142            self.timestep_hidden = state143        output = self.output_fn(state)144        output = tf.expand_dims(output, 1)145        return output146class LSTMLayer(BasicRNNLayer):147    def __init__(self,148                 incoming,149                 num_nodes,150                 nonlin_i=nonlin.sigmoid,151                 nonlin_c=nonlin.tanh,152                 nonlin_o=nonlin.relu,153                 W_init=init.truncated_normal(),154                 b_init=init.constant(),155                 U_init=init.truncated_normal(),156                 W_b_init=None,157                 W_i=None,158                 U_i=None,159                 W_f=None,160                 U_f=None,161                 W_g=None,162                 U_g=None,163                 W_c=None,164                 U_c=None,165                 W_o=None,166                 b_i=None,167                 b_f=None,168                 b_g=None,169                 b_c=None,170                 b_o=None,171                 **kwargs):172        Layer.__init__(self, [incoming], **kwargs)173        self.incoming_shape = incoming.get_output_shape()174        self.num_nodes = num_nodes175        self.nonlin_i = nonlin_i176        self.nonlin_c = nonlin_c177        self.nonlin_o = nonlin_o178        self.check_compatible(incoming)179        self.output_shape = self.calc_output_shape()180        self.initialize_params(W_i, U_i, W_f, U_f, W_g, U_g,181                               W_c, U_c, W_o,182                               b_i, b_f, b_g, b_c, b_o,183                               W_init, b_init, W_b_init, U_init)184        self.params = {'W_i': self.W_i,185                       'U_i': self.U_i,186                       'W_f': self.W_f,187                       'U_f': self.U_f,188                       'W_g': self.W_g,189                       'U_g': self.U_g,190                       'W_c': self.W_c,191                       'U_c': self.U_c,192                       'W_o': self.W_o,193                       'b_i': self.b_i,194                       'b_f': self.b_f,195                       'b_g': self.b_g,196                       'b_c': self.b_c,197                       'b_o': self.b_o}198        self.config.update({199            'num_nodes': num_nodes,200            'nonlin_i': nonlin_i,201            'nonlin_c': nonlin_c,202            'nonlin_o': nonlin_o,203            'W_init': W_init,204            'b_init': b_init,205            'W_b_init': W_b_init206        })207        self.input_hidden = None208        self.input_timestep_hidden = None209        self.timestep_hidden = None210    def initialize_params(self,211                          W_i, U_i, W_f, U_f, W_g, U_g,212                          W_c, U_c, W_o,213                          b_i, b_f, b_g, b_c, b_o,214                          W_init, b_init, W_b_init, U_init):215        input_size = self.incoming_shape[2]216        W_i_shape = (input_size, self.num_nodes)217        U_i_shape = (self.num_nodes, self.num_nodes)218        W_f_shape = (input_size, self.num_nodes)219        U_f_shape = (self.num_nodes, self.num_nodes)220        W_g_shape = (input_size, self.num_nodes)221        U_g_shape = (self.num_nodes, self.num_nodes)222        W_c_shape = (input_size, self.num_nodes)223        U_c_shape = (self.num_nodes, self.num_nodes)224        W_o_shape = (self.num_nodes, self.num_nodes)225        b_i_shape = (self.num_nodes,)226        b_f_shape = (self.num_nodes,)227        b_g_shape = (self.num_nodes,)228        b_c_shape = (self.num_nodes,)229        b_o_shape = (self.num_nodes,)230        if W_b_init is not None:231            self.W_i, self.b_i = self.resolve_param_pair(W_i, W_i_shape,232                                                         b_i, b_i_shape,233                                                         W_b_init)234            self.W_f, self.b_f = self.resolve_param_pair(W_f, W_f_shape,235                                                         b_f, b_f_shape,236                                                         W_b_init)237            self.W_g, self.b_g = self.resolve_param_pair(W_g, W_g_shape,238                                                         b_g, b_g_shape,239                                                         W_b_init)240            self.W_c, self.b_c = self.resolve_param_pair(W_c, W_c_shape,241                                                         b_c, b_c_shape,242                                                         W_b_init)243            self.W_o, self.b_o = self.resolve_param_pair(W_o, W_o_shape,244                                                         b_o, b_o_shape,245                                                         W_b_init)246        else:247            self.W_i = self.resolve_param(W_i, W_i_shape, W_init)248            self.b_i = self.resolve_param(b_i, b_i_shape, b_init)249            self.W_f = self.resolve_param(W_f, W_f_shape, W_init)250            self.b_f = self.resolve_param(b_f, b_f_shape, b_init)251            self.W_g = self.resolve_param(W_g, W_g_shape, W_init)252            self.b_g = self.resolve_param(b_g, b_g_shape, b_init)253            self.W_c = self.resolve_param(W_c, W_c_shape, W_init)254            self.b_c = self.resolve_param(b_c, b_c_shape, b_init)255            self.W_o = self.resolve_param(W_o, W_o_shape, W_init)256            self.b_o = self.resolve_param(b_o, b_o_shape, b_init)257        self.U_i = self.resolve_param(U_i, U_i_shape, U_init)258        self.U_f = self.resolve_param(U_f, U_f_shape, U_init)259        self.U_g = self.resolve_param(U_g, U_g_shape, U_init)260        self.U_c = self.resolve_param(U_c, U_c_shape, U_init)261    def get_base_name(self):262        return 'lstm'263    # def get_single_hidden_shape(self):264    #     return (2, 1, self.num_nodes)265    def get_initial_hidden(self, incoming_var):266        initial_hidden = tf.matmul(267            incoming_var[:, 0, :],268            tf.zeros([self.incoming_shape[2], self.num_nodes]))269        return tf.pack([initial_hidden, initial_hidden])270    def recurrence_fn(self, h_prev_tuple, x_t):271        h_prev, c_prev = tf.unpack(h_prev_tuple)272        i = self.nonlin_i(273            tf.matmul(x_t, self.W_i,274                      name='i_w') +...

intcode.py

Source:intcode.py

...49            self.instruction_s = '0' + self.instruction_s50        code = int(self.instruction_s[3:])51        assert code in self.instruction_table.keys(), f"unknown instruction {code}"52        self.instruction = self.instruction_table[code]53    def resolve_param(self, number):54        value = self.check_data(self.pointer + number)55        if number == 3 and self.instruction_s[0] == '2' or number == 2 and self.instruction_s[1] == '2' or number == 1 and self.instruction_s[2] == '2':56            value = self.check_data(self.base + value)57        elif number == 3 and self.instruction_s[0] == '0' or number == 2 and self.instruction_s[1] == '0' or number == 1 and self.instruction_s[2] == '0':58            value = self.check_data(value)59        return value60    def is_running(self):61        return self.data[self.pointer] != 9962    def run(self):63        while self.run_instruction():64            True65    def check_data(self, n):66        if n not in self.data:67            self.data[n] = 068        return self.data[n]69    def run_instruction(self):70        self.check_data(self.pointer)71        self.instruction_s = str(self.data[self.pointer])72        self.parse_instruction()73        # 1 == add74        if self.instruction == 'add':  # 0175            if self.instruction_s[0] == '2':76                value = self.check_data(self.pointer + 3)77                self.data[self.base + value] = self.resolve_param(1) + self.resolve_param(2)78            else:79                self.data[self.data[self.pointer + 3]] = self.resolve_param(1) + self.resolve_param(2)80            if self.verbose:81                print(f"{self.name} {self.pointer:3} {self.instruction:13} {self.instruction_s:5} {self.resolve_param(1)} {self.resolve_param(2)}")82            self.pointer += 483            return True84        # 2 == mult85        elif self.instruction == 'mult':  # 0286            if self.instruction_s[0] == '2':87                value = self.check_data(self.pointer + 3)88                self.data[self.base + value] = self.resolve_param(1) * self.resolve_param(2)89            else:90                self.data[self.data[self.pointer + 3]] = self.resolve_param(1) * self.resolve_param(2)91            if self.verbose:92                print(f"{self.name} {self.pointer:3} {self.instruction:13} {self.instruction_s:5} {self.resolve_param(1)} {self.resolve_param(2)}")93            self.pointer += 494            return True95        # 3 = input96        elif self.instruction == 'input':  # 0397            if self.manual_input:98                self.inputs = [int(input("enter input: ").strip())]99            if len(self.inputs) == 0:100                return False101            if self.instruction_s[2] == '2':102                value = self.check_data(self.pointer + 1)103                self.data[self.base + value] = self.inputs[0]104            else:105                self.data[self.data[self.pointer + 1]] = self.inputs[0]106            self.inputs = self.inputs[1:]107            if self.verbose:108                print(f"{self.name} {self.pointer:3} {self.instruction:13} {self.instruction_s:5} ({self.data[self.pointer + 1]}){self.data[self.data[self.pointer + 1]]}")109            self.pointer += 2110            return True111        # 4 = output112        elif self.instruction == 'output':  # 04113            self.outputs += [self.resolve_param(1)]114            if self.verbose:115                print(f"{self.name} {self.pointer:3} {self.instruction:13} {self.instruction_s:5} {self.resolve_param(1):3}")116            self.pointer += 2117            return True118        # 5 = jump-if-true119        elif self.instruction == 'jump-if-true':  # 05120            if self.verbose:121                print(f"{self.name} {self.pointer:3} {self.instruction:13} {self.instruction_s:5} {self.resolve_param(1)} {self.resolve_param(2)}")122            if self.resolve_param(1) != 0:123                self.pointer = self.resolve_param(2)124            else:125                self.pointer += 3126        # 6 = jump-if-false127            return True128        elif self.instruction == 'jump-if-false':  # 06129            if self.verbose:130                print(f"{self.name} {self.pointer:3} {self.instruction:13} {self.instruction_s:5} {self.resolve_param(1)} {self.resolve_param(2)}")131            if self.resolve_param(1) == 0:132                self.pointer = self.resolve_param(2)133            else:134                self.pointer += 3135            return True136        # 7 = less than137        elif self.instruction == 'less-than':  # 07138            if self.resolve_param(1) < self.resolve_param(2):139                if self.instruction_s[0] == '2':140                    value = self.check_data(self.pointer + 3)141                    self.data[self.base + value] = 1142                else:143                    self.data[self.data[self.pointer + 3]] = 1144            else:145                if self.instruction_s[0] == '2':146                    value = self.check_data(self.pointer + 3)147                    self.data[self.base + value] = 0148                else:149                    self.data[self.data[self.pointer + 3]] = 0150            if self.verbose:151                print(f"{self.name} {self.pointer:3} {self.instruction:13} {self.instruction_s:5} {self.data[self.pointer+1]}[{self.resolve_param(1)}] {self.data[self.pointer+2]}[{self.resolve_param(2)}] {self.data[self.pointer + 3]}[{self.data[self.data[self.pointer + 3]]}]")152            self.pointer += 4153            return True154        # 8 = equals155        elif self.instruction == 'equals':  # 08156            if self.verbose:157                print(f"{self.name} {self.pointer:3} {self.instruction:13} {self.instruction_s:5} {self.resolve_param(1)} {self.resolve_param(2)} {self.data[self.pointer + 3]}")158            if self.resolve_param(1) == self.resolve_param(2):159                if self.instruction_s[0] == '2':160                    value = self.check_data(self.pointer + 3)161                    self.data[self.base + value] = 1162                else:163                    self.data[self.data[self.pointer + 3]] = 1164            else:165                if self.instruction_s[0] == '2':166                    value = self.check_data(self.pointer + 3)167                    self.data[self.base + value] = 0168                else:169                    self.data[self.data[self.pointer + 3]] = 0170            self.pointer += 4171            return True172        # 9 = adjust-base173        elif self.instruction == 'adjust-base':  # 09174            self.base += self.resolve_param(1)175            if self.verbose:176                print(f"{self.name} {self.pointer:3} {self.instruction:13} {self.instruction_s:5} {self.data[self.pointer+1]}[{self.resolve_param(1)}]  base={self.base}")177            self.pointer += 2178            return True179        # 99 = halt180        if self.instruction == 'halt':  # 99181            if self.verbose:182                print(f"{self.name} {self.pointer:3} {self.instruction:13} {self.instruction_s:5}")183            return False184def test_intcode():185    intcode = Intcode([1002, 5, 2, 5, 99, 33], [], verbose=True)  # mult186    intcode.run()187    assert(intcode.data[5] == 66)188    intcode = Intcode([1001, 5, 2, 5, 99, 33], [], verbose=True)  # add189    intcode.run()190    assert(intcode.data[5] == 35)...

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