Python keras.backend.depthwise_conv2d() Examples

The following are 11 code examples of keras.backend.depthwise_conv2d(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module keras.backend , or try the search function .
Example #1
Source File: mobile_net_fixed.py    From kaggle-carvana-2017 with MIT License 6 votes vote down vote up 
def call(self, inputs, training=None):
        outputs = K.depthwise_conv2d(
            inputs,
            self.depthwise_kernel,
            strides=self.strides,
            padding=self.padding,
            dilation_rate=self.dilation_rate,
            data_format=self.data_format)

        if self.bias:
            outputs = K.bias_add(
                outputs,
                self.bias,
                data_format=self.data_format)

        if self.activation is not None:
            return self.activation(outputs)

        return outputs
Example #2
Source File: train_mobilenets.py    From face_landmark_dnn with MIT License 6 votes vote down vote up 
def call(self, inputs, training=None):
        outputs = K.depthwise_conv2d(
            inputs,
            self.depthwise_kernel,
            strides=self.strides,
            padding=self.padding,
            dilation_rate=self.dilation_rate,
            data_format=self.data_format)

        if self.bias:
            outputs = K.bias_add(
                outputs, self.bias, data_format=self.data_format)

        if self.activation is not None:
            return self.activation(outputs)

        return outputs
Example #3
Source File: utils.py    From face_landmark_dnn with MIT License 6 votes vote down vote up 
def call(self, inputs, training=None):
        outputs = K.depthwise_conv2d(
            inputs,
            self.depthwise_kernel,
            strides=self.strides,
            padding=self.padding,
            dilation_rate=self.dilation_rate,
            data_format=self.data_format)

        if self.bias:
            outputs = K.bias_add(
                outputs, self.bias, data_format=self.data_format)

        if self.activation is not None:
            return self.activation(outputs)

        return outputs
Example #4
Source File: se_mobilenets.py    From keras-squeeze-excite-network with MIT License 6 votes vote down vote up 
def call(self, inputs, training=None):
        outputs = depthwise_conv2d(
            inputs,
            self.depthwise_kernel,
            strides=self.strides,
            padding=self.padding,
            dilation_rate=self.dilation_rate,
            data_format=self.data_format)

        if self.bias:
            outputs = K.bias_add(
                outputs,
                self.bias,
                data_format=self.data_format)

        if self.activation is not None:
            return self.activation(outputs)

        return outputs
Example #5
Source File: gc_mobilenets.py    From keras-global-context-networks with MIT License 6 votes vote down vote up 
def call(self, inputs, training=None):
        outputs = K.depthwise_conv2d(
            inputs,
            self.depthwise_kernel,
            strides=self.strides,
            padding=self.padding,
            dilation_rate=self.dilation_rate,
            data_format=self.data_format)

        if self.bias:
            outputs = K.bias_add(
                outputs,
                self.bias,
                data_format=self.data_format)

        if self.activation is not None:
            return self.activation(outputs)

        return outputs
Example #6
Source File: mobilenets.py    From CBAM-keras with MIT License 6 votes vote down vote up 
def call(self, inputs, training=None):
        outputs = K.depthwise_conv2d(
            inputs,
            self.depthwise_kernel,
            strides=self.strides,
            padding=self.padding,
            dilation_rate=self.dilation_rate,
            data_format=self.data_format)

        if self.bias:
            outputs = K.bias_add(
                outputs,
                self.bias,
                data_format=self.data_format)

        if self.activation is not None:
            return self.activation(outputs)

        return outputs
Example #7
Source File: mobilenets-checkpoint.py    From CBAM-keras with MIT License 6 votes vote down vote up 
def call(self, inputs, training=None):
        outputs = K.depthwise_conv2d(
            inputs,
            self.depthwise_kernel,
            strides=self.strides,
            padding=self.padding,
            dilation_rate=self.dilation_rate,
            data_format=self.data_format)

        if self.bias:
            outputs = K.bias_add(
                outputs,
                self.bias,
                data_format=self.data_format)

        if self.activation is not None:
            return self.activation(outputs)

        return outputs
Example #8
Source File: mobilenet.py    From deep-learning-models with MIT License 6 votes vote down vote up 
def call(self, inputs, training=None):
        outputs = K.depthwise_conv2d(
            inputs,
            self.depthwise_kernel,
            strides=self.strides,
            padding=self.padding,
            dilation_rate=self.dilation_rate,
            data_format=self.data_format)

        if self.bias:
            outputs = K.bias_add(
                outputs,
                self.bias,
                data_format=self.data_format)

        if self.activation is not None:
            return self.activation(outputs)

        return outputs
Example #9
Source File: mobilenet.py    From keras-FP16-test with Apache License 2.0 6 votes vote down vote up 
def call(self, inputs, training=None):
        outputs = K.depthwise_conv2d(
            inputs,
            self.depthwise_kernel,
            strides=self.strides,
            padding=self.padding,
            dilation_rate=self.dilation_rate,
            data_format=self.data_format)

        if self.bias:
            outputs = K.bias_add(
                outputs,
                self.bias,
                data_format=self.data_format)

        if self.activation is not None:
            return self.activation(outputs)

        return outputs
Example #10
Source File: mobilenetv2.py    From mobilenet_v2_keras with MIT License 6 votes vote down vote up 
def call(self, inputs, training=None):
        outputs = K.depthwise_conv2d(
            inputs,
            self.depthwise_kernel,
            strides=self.strides,
            padding=self.padding,
            dilation_rate=self.dilation_rate,
            data_format=self.data_format)

        if self.bias:
            outputs = K.bias_add(
                outputs,
                self.bias,
                data_format=self.data_format)

        if self.activation is not None:
            return self.activation(outputs)

        return outputs
Example #11
Source File: se_mobilenets.py    From TF.Keras-Commonly-used-models with Apache License 2.0 6 votes vote down vote up 
def call(self, inputs, training=None):
        outputs = K.depthwise_conv2d(
            inputs,
            self.depthwise_kernel,
            strides=self.strides,
            padding=self.padding,
            dilation_rate=self.dilation_rate,
            data_format=self.data_format)

        if self.bias:
            outputs = K.bias_add(
                outputs,
                self.bias,
                data_format=self.data_format)

        if self.activation is not None:
            return self.activation(outputs)

        return outputs