Class CGraph

experimental/vectorized_taylor_arithmetic.py:480–639 · view source on GitHub ↗

We implement the Computational Graph (CG) as Directed Graph The Graph of y = x1(x2+x3) looks like --- independent variables v1(x1): None v2(x2): None v3(x3): None --- function operations +4(v2.x + v3.x): [v2,v3] *5(v1.x * +4.x): [v1,+4] --- dependent vari

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Callers 15

tapeFunction · 0.70

hessianFunction · 0.70

test_1x1dot1x1_reverseFunction · 0.50

test_2x2dot2x2_reverseFunction · 0.50

test_2x3dot33x2_reverseFunction · 0.50

test_matrix_2x2_mul_2x2_reverseFunction · 0.50

test_matrix_assembly_2x2Function · 0.50

test_plot_computational_graphFunction · 0.50

test_trace_2x2Function · 0.50

test_inv_2x2_forwardFunction · 0.50

test_inv_2x2_reverseFunction · 0.50

test_newtons_methodFunction · 0.50

Calls

no outgoing calls

Tested by 15

test_1x1dot1x1_reverseFunction · 0.40

test_2x2dot2x2_reverseFunction · 0.40

test_2x3dot33x2_reverseFunction · 0.40

test_matrix_2x2_mul_2x2_reverseFunction · 0.40

test_matrix_assembly_2x2Function · 0.40

test_plot_computational_graphFunction · 0.40

test_trace_2x2Function · 0.40

test_inv_2x2_forwardFunction · 0.40

test_inv_2x2_reverseFunction · 0.40

test_newtons_methodFunction · 0.40

test_tapingFunction · 0.40

test_graph_addition_with_constantFunction · 0.40