def call(self, inputs):
inputs = ops.convert_to_tensor_v2(inputs, dtype=self.dtype)
inputs = gen_math_ops.cast(inputs, dtypes.float32)
kernel = (1.0 / self.kernel_scale) * self.unscaled_kernel
outputs = gen_math_ops.mat_mul(inputs, kernel)
outputs = nn.bias_add(outputs, self.bias)
return gen_math_ops.cos(outputs)
def call(self, inputs):
inputs = ops.convert_to_tensor_v2_with_dispatch(inputs,
dtype=self.dtype)
inputs = math_ops.cast(inputs, dtypes.float32)
kernel = (1.0 / self.kernel_scale) * self.unscaled_kernel
outputs = gen_math_ops.MatMul(a=inputs, b=kernel)
outputs = nn.bias_add(outputs, self.bias)
return gen_math_ops.cos(outputs)
def call(self, inputs): inputs = ops.convert_to_tensor(inputs, dtype=self.dtype) inputs = gen_math_ops.cast(inputs, dtypes.float32) outputs = gen_math_ops.mat_mul(inputs, self.kernel) outputs = nn.bias_add(outputs, self.bias) return gen_math_ops.cos(outputs)
def call(self, inputs): inputs = ops.convert_to_tensor(inputs, dtype=self.dtype) inputs = gen_math_ops.cast(inputs, dtypes.float32) outputs = gen_math_ops.mat_mul(inputs, self.kernel) outputs = nn.bias_add(outputs, self.bias) return gen_math_ops.cos(outputs)
