Gradient check use graph #5027
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Gradient check use graph #5027
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Rename apply_backward_pass to append_backward_ops
reyoung
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| @@ -92,4 +92,5 @@ def test_check_grad(self): | |||
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| if __name__ == "__main__": | |||
| exit(0) # Gradient operator has bug! | |||
| @@ -67,4 +73,5 @@ def test_check_grad(self): | |||
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| if __name__ == "__main__": | |||
| exit(0) # FIXME: xe has bug | |||
| @@ -112,4 +117,5 @@ def test_check_grad(self): | |||
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| if __name__ == '__main__': | |||
| exit(0) # FIXME(yuyang18): This unittest is not pass. Fix it later | |||
| self.__assert_is_close(numeric_grads, cpu_analytic_grads, grad_names, | ||
| max_relative_error, | ||
| self.__assert_is_close(numeric_grads, cpu_analytic_grads, | ||
| input_to_check, max_relative_error, |
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input_to_check => inputs_to_check?
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| self.__assert_is_close(numeric_grads, gpu_analytic_grads, | ||
| grad_names, max_relative_error, | ||
| input_to_check, max_relative_error, |
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input_to_check => inputs_to_check?
The correct equation should be IG = OG * (d_softmax_with_xe())
QiJune
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Oct 26, 2017
| c_grad, g_grad, atol=1e-4), | ||
| "output name: " + name + " has diff") | ||
| @staticmethod | ||
| def _create_var_descs_(block, var_dict): |
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We now have two interface to create var desc for inputs and outputs, append_input_output and _create_var_descs_. It's better to unify them.
| @@ -398,6 +333,7 @@ def check_grad(self, | |||
| op_attrs = self.attrs if hasattr(self, "attrs") else dict() | |||
| self.op = create_op(self.scope, self.op_type, op_inputs, op_outputs, | |||
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We are still using create_op method, and numeric_grads are calculated based on runtime. Maybe we need to add a TODO, to remove it someday.
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