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/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
Dresize_quant8_signed.mod.py22 model_shape = Model("shape").Operation("RESIZE_BILINEAR", i1, 3, 3, layout).To(o1)
23 model_scale = Model("scale").Operation("RESIZE_BILINEAR", i1, 1.5, 1.5, layout).To(o1)
46 model_shape = Model("shape").Operation("RESIZE_BILINEAR", i2, 3, 3, layout).To(o2)
47 model_scale = Model("scale").Operation("RESIZE_BILINEAR", i2, 1.6, 1.6, layout).To(o2)
70 model_shape = Model("shape").Operation("RESIZE_BILINEAR", i3, 3, 3).To(o3)
71 model_scale = Model("scale").Operation("RESIZE_BILINEAR", i3, 1.8, 1.8).To(o3)
100 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
105 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
109 model = model.Operation("RESIZE_BILINEAR", zero_sized, 3, 3, layout).To(o3)
138 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
[all …]
Dconv2d_quant8_signed.mod.py24 Model().Operation("CONV_2D", i1, f1, b1, 0, 0, 0, 0, 1, 1, 0, layout, 1, 1).To(o1)
46 Model().Operation("CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 0, layout, 3, 3).To(o2)
75 Model().Operation("CONV_2D", i1, f1, b1, 2, 1, 1, 0, layout, 1, 1).To(o1)
97 Model().Operation("CONV_2D", i2, f2, b2, 2, 1, 1, 0, layout, 3, 3).To(o2)
127 Model().Operation("CONV_2D", i3, f3, b3, 1, 2, 2, 0, layout, 3, 3).To(o3)
154 Model().Operation("CONV_2D", i1, f1, b1, 0, 0, 0, 0, 1, 1, 0).To(o1)
169 Model("layouts").Operation("CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 0, layout).To(o2)
186 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
191 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
198 model = model.Operation("CONV_2D", zero_sized, w, b, 0, 0, 0, 0, 1, 1, 0, layout).To(o3)
[all …]
Dtranspose_quant8_signed.mod.py26 Model().Operation("TRANSPOSE_CONV_2D", i1, w1, b1, s1, 1, 32, 32, act, layout).To(o1)
60 Model().Operation("TRANSPOSE_CONV_2D", i1, w1, b1, s1, 2, 2, 2, act, layout).To(o1)
109 Model().Operation("TRANSPOSE_CONV_2D", i2, w2, b2, s2, 1, 3, 3, 1, layout).To(o2)
142 Model().Operation("TRANSPOSE_CONV_2D", i3, w3, b3, s3, 1, 1, 1, 0, layout).To(o3)
168 Model().Operation("TRANSPOSE_CONV_2D", i4, w4, b4, s4, 2, 1, 1, 0, layout).To(o4)
195 Model().Operation("TRANSPOSE_CONV_2D", i5, w5, b5, 1, 2, 2, 1, 1, 1, 0, layout).To(o5)
223 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
228 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
235 model = model.Operation("TRANSPOSE_CONV_2D", zero_sized, w, b, s, 2, 2, 2, 0, layout).To(o3)
266 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
[all …]
Ddepthwise_conv2d_quant8_signed.mod.py24 Model().Operation("DEPTHWISE_CONV_2D", i1, f1, b1, 0, 0, 0, 0, 1, 1, 2, 0, layout, 1, 1).To(o1)
52 Model().Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 2, 0, layout, 2, 2).To(o2)
81 Model().Operation("DEPTHWISE_CONV_2D", i1, f1, b1, 2, 1, 1, 2, 0, layout, 1, 1).To(o1)
109 Model().Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 2, 1, 1, 2, 0, layout, 2, 2).To(o2)
138 Model().Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 1, 2, 2, 1, 0, layout, 3, 3).To(o2)
170 Model("same").Operation("DEPTHWISE_CONV_2D", i1, f1, b1, 0, 0, 0, 0, 1, 1, 1, 0).To(o1)
187 Model("different").Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 2, 0).To(o2)
207 Model("layout").Operation("DEPTHWISE_CONV_2D", i3, f3, b3, 0, 0, 0, 0, 1, 1, 2, 0, layout).To(o3)
232 cm, act_none).To(output)
264 cm, act).To(output)
[all …]
Davg_pool_quant8_signed.mod.py23 …del.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(o)
61 …"AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(ou…
98 …"AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(ou…
117 …el.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act2).To(o)
137 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i…
153 Model().Operation("AVERAGE_POOL_2D", i1, 0, 0, 0, 0, 1, 1, 1, 1, 0, layout).To(o1)
182 Model().Operation("AVERAGE_POOL_2D", i2, pad, pad, pad, pad, std, std, flt, flt, 0, layout).To(o2)
211 Model().Operation("AVERAGE_POOL_2D", i3, pad, pad, pad, pad, std, std, flt, flt, 0, layout).To(o3)
240 Model().Operation("AVERAGE_POOL_2D", i4, pad, pad, pad, pad, std, std, flt, flt, 3, layout).To(o4)
259 Model().Operation("AVERAGE_POOL_2D", i5, 1, 2, 2, 2, 2, 0, layout).To(o5)
[all …]
Dtranspose_conv2d_quant8_signed.mod.py26 Model().Operation("TRANSPOSE_CONV_2D", i1, w1, b1, s1, 1, 32, 32, act, layout).To(o1)
60 Model().Operation("TRANSPOSE_CONV_2D", i1, w1, b1, s1, 2, 2, 2, act, layout).To(o1)
109 Model().Operation("TRANSPOSE_CONV_2D", i2, w2, b2, s2, 1, 3, 3, 1, layout).To(o2)
141 Model().Operation("TRANSPOSE_CONV_2D", i3, w3, b3, s3, 1, 1, 1, 0, layout).To(o3)
167 Model().Operation("TRANSPOSE_CONV_2D", i4, w4, b4, s4, 2, 1, 1, 0, layout).To(o4)
194 Model().Operation("TRANSPOSE_CONV_2D", i5, w5, b5, 1, 2, 2, 1, 1, 1, 0, layout).To(o5)
222 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
227 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
234 model = model.Operation("TRANSPOSE_CONV_2D", zero_sized, w, b, s, 2, 2, 2, 0, layout).To(o3)
265 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
[all …]
Dsoftmax_quant8_signed.mod.py23 model = model.Operation("SOFTMAX", i1, beta).To(output)
42 model = model.Operation("SOFTMAX", i1, beta).To(output)
84 Model().Operation("SOFTMAX", i, 1.0).To(o)
87 Model().Operation("SOFTMAX", i, 0.000001).To(o)
93 Model("axis").Operation("SOFTMAX", i, 1.0, axis).To(o)
96 Model("axis").Operation("SOFTMAX", i, 0.000001, axis).To(o)
109 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
115 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
119 model = model.Operation("SOFTMAX", zero_sized, 1.0).To(o3)
Dmax_pool_quant8_signed.mod.py23 … model.Operation("MAX_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3)
58 …"MAX_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(output)
97 …"MAX_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act2).To(output)
119 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
135 Model().Operation("MAX_POOL_2D", i1, 0, 0, 0, 0, 1, 1, 1, 1, 0, layout).To(o1)
164 Model().Operation("MAX_POOL_2D", i2, pad, pad, pad, pad, std, std, flt, flt, 0, layout).To(o2)
193 Model().Operation("MAX_POOL_2D", i3, pad, pad, pad, pad, std, std, flt, flt, 3, layout).To(o3)
212 Model().Operation("MAX_POOL_2D", i4, 1, 2, 2, 2, 2, 0, layout).To(o4)
236 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
241 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
[all …]
Dstrided_slice_quant8_signed.mod.py28 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
53 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
78 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
103 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
128 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
153 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
178 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
203 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
228 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
253 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
[all …]
Dfully_connected_quant8_signed.mod.py26 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
46 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
65 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
88 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
107 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
128 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
156 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
162 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
168 model = model.Operation("FULLY_CONNECTED", zero_sized, w, b, 0).To(o3)
Dconcat_quant8_signed.mod.py26 model = Model().Operation("CONCATENATION", input0, input1, input2, input3, axis).To(output0)
65 model = model.Operation("CONCATENATION", i1, i2, axis1).To(r)
88 model = model.Operation("CONCATENATION", input1, input2, axis0).To(output)
115 model = model.Operation("CONCATENATION", input1, input2, axis1).To(output)
146 model = Model().Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1…
152 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
156 model = model.Operation("CONCATENATION", zero_sized, zero_sized, 3).To(o3)
186 model = Model().Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1…
192 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
197 model = model.Operation("CONCATENATION", zero_sized, i2, 0).To(o3)
Dwhile_sum_of_powers_quant8.mod.py47 model.Operation("LESS", j, i).To(out)
60 model.Operation("MUL", xi, x, 0).To(xi_out)
61 model.Operation("ADD", j, [1], 0).To(j_out)
73 model.Operation("LESS_EQUAL", i, n).To(out)
92 model.Operation("ADD", x, zero, 0).To(xi_init)
93 model.Operation("WHILE", cond, body, xi_init, j_init, i, x).To(xi)
94 model.Operation("ADD", i, [1], 0).To(i_out)
95 model.Operation("ADD", sum, xi, 0).To(sum_out)
106 model = Model().Operation("WHILE", cond, body, sum_init, i_init, n, x).To(sum)
Dwhile_sum_of_powers_quant8_signed.mod.py47 model.Operation("LESS", j, i).To(out)
60 model.Operation("MUL", xi, x, 0).To(xi_out)
61 model.Operation("ADD", j, [1], 0).To(j_out)
73 model.Operation("LESS_EQUAL", i, n).To(out)
92 model.Operation("ADD", x, zero, 0).To(xi_init)
93 model.Operation("WHILE", cond, body, xi_init, j_init, i, x).To(xi)
94 model.Operation("ADD", i, [1], 0).To(i_out)
95 model.Operation("ADD", sum, xi, 0).To(sum_out)
106 model = Model().Operation("WHILE", cond, body, sum_init, i_init, n, x).To(sum)
Dspace_to_batch_quant8_signed.mod.py23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
53 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
81 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
113 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
141 Model().Operation("SPACE_TO_BATCH_ND", i1, [2, 2], pad1, layout).To(o1)
159 Model().Operation("SPACE_TO_BATCH_ND", i2, [2, 2], pad1, layout).To(o2)
178 Model().Operation("SPACE_TO_BATCH_ND", i3, [3, 2], pad3, layout).To(o3)
198 Model().Operation("SPACE_TO_BATCH_ND", i4, [3, 2], pad4, layout).To(o4)
/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/
Dmobilenet_224_gender_basic_fixed_relaxed.mod.py238 model = model.Operation("CONV_2D", i86, i2, i1, i87, i88, i89, i90).To(i0)
239 model = model.Operation("DEPTHWISE_CONV_2D", i0, i29, i28, i91, i92, i93, i94, i95).To(i27)
240 model = model.Operation("CONV_2D", i27, i32, i31, i96, i97, i98, i99).To(i30)
241 model = model.Operation("DEPTHWISE_CONV_2D", i30, i35, i34, i100, i101, i102, i103, i104).To(i33)
242 model = model.Operation("CONV_2D", i33, i38, i37, i105, i106, i107, i108).To(i36)
243 model = model.Operation("DEPTHWISE_CONV_2D", i36, i41, i40, i109, i110, i111, i112, i113).To(i39)
244 model = model.Operation("CONV_2D", i39, i44, i43, i114, i115, i116, i117).To(i42)
245 model = model.Operation("DEPTHWISE_CONV_2D", i42, i47, i46, i118, i119, i120, i121, i122).To(i45)
246 model = model.Operation("CONV_2D", i45, i50, i49, i123, i124, i125, i126).To(i48)
247 model = model.Operation("DEPTHWISE_CONV_2D", i48, i53, i52, i127, i128, i129, i130, i131).To(i51)
[all …]
/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/
Dmobilenet_224_gender_basic_fixed.mod.py222 model = model.Operation("CONV_2D", i86, i2, i1, i87, i88, i89, i90).To(i0)
223 model = model.Operation("DEPTHWISE_CONV_2D", i0, i29, i28, i91, i92, i93, i94, i95).To(i27)
224 model = model.Operation("CONV_2D", i27, i32, i31, i96, i97, i98, i99).To(i30)
225 model = model.Operation("DEPTHWISE_CONV_2D", i30, i35, i34, i100, i101, i102, i103, i104).To(i33)
226 model = model.Operation("CONV_2D", i33, i38, i37, i105, i106, i107, i108).To(i36)
227 model = model.Operation("DEPTHWISE_CONV_2D", i36, i41, i40, i109, i110, i111, i112, i113).To(i39)
228 model = model.Operation("CONV_2D", i39, i44, i43, i114, i115, i116, i117).To(i42)
229 model = model.Operation("DEPTHWISE_CONV_2D", i42, i47, i46, i118, i119, i120, i121, i122).To(i45)
230 model = model.Operation("CONV_2D", i45, i50, i49, i123, i124, i125, i126).To(i48)
231 model = model.Operation("DEPTHWISE_CONV_2D", i48, i53, i52, i127, i128, i129, i130, i131).To(i51)
[all …]
/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
Dresize_nearest_neighbor.mod.py22 model_shape = Model("shape").Operation("RESIZE_NEAREST_NEIGHBOR", i1, 1, 1, layout).To(o1)
23 model_scale = Model("scale").Operation("RESIZE_NEAREST_NEIGHBOR", i1, 0.5, 0.5, layout).To(o1)
43 model_shape = Model("shape").Operation("RESIZE_NEAREST_NEIGHBOR", i1, 3, 3, layout).To(o1)
44 model_scale = Model("scale").Operation("RESIZE_NEAREST_NEIGHBOR", i1, 1.5, 1.5, layout).To(o1)
64 model_shape = Model("shape").Operation("RESIZE_NEAREST_NEIGHBOR", i1, 2, 2, layout).To(o1)
65 model_scale = Model("scale").Operation("RESIZE_NEAREST_NEIGHBOR", i1, 0.8, 0.8, layout).To(o1)
85 model_shape = Model("shape").Operation("RESIZE_NEAREST_NEIGHBOR", i1, 5, 2, layout).To(o1)
86 model_scale = Model("scale").Operation("RESIZE_NEAREST_NEIGHBOR", i1, 2.6, 1.1, layout).To(o1)
106 model_shape = Model("shape").Operation("RESIZE_NEAREST_NEIGHBOR", i1, 3, 3, layout).To(o1)
107 model_scale = Model("scale").Operation("RESIZE_NEAREST_NEIGHBOR", i1, 0.9, 0.9, layout).To(o1)
[all …]
Dresize_bilinear_v1_2.mod.py22 model_shape = Model("shape").Operation("RESIZE_BILINEAR", i1, 3, 3, layout).To(o1)
23 model_scale = Model("scale").Operation("RESIZE_BILINEAR", i1, 1.5, 1.5, layout).To(o1)
46 model_shape = Model("shape").Operation("RESIZE_BILINEAR", i2, 3, 3, layout).To(o2)
47 model_scale = Model("scale").Operation("RESIZE_BILINEAR", i2, 1.6, 1.6, layout).To(o2)
70 model_shape = Model("shape").Operation("RESIZE_BILINEAR", i3, 3, 3).To(o3)
71 model_scale = Model("scale").Operation("RESIZE_BILINEAR", i3, 1.8, 1.8).To(o3)
100 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
105 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
109 model = model.Operation("RESIZE_BILINEAR", zero_sized, 3, 3, layout).To(o3)
138 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
[all …]
Dconv2d_v1_2.mod.py24 Model().Operation("CONV_2D", i1, f1, b1, 0, 0, 0, 0, 1, 1, 0, layout).To(o1)
52 Model().Operation("CONV_2D", i2, f2, b2, 1, 1, 1, 1, layout).To(o2)
80 Model("channel").Operation("CONV_2D", i3, f3, b3, 0, 0, 0, 0, 1, 1, 0, layout).To(o3)
108 Model("large").Operation("CONV_2D", i4, f4, b4, 0, 0, 0, 0, 1, 1, 0, layout).To(o4)
149 model_1_same = Model("1_H3_W2_SAME").Operation("CONV_2D", i5, f5, b5, 1, 1, 1, 0, layout).To(o5)
150 model_1_valid = Model("1_H3_W2_VALID").Operation("CONV_2D", i5, f5, b5, 2, 1, 1, 0, layout).To(o6)
175 model_3_same = Model("3_H3_W2_SAME").Operation("CONV_2D", i7, f7, b7, 1, 1, 1, 0, layout).To(o7)
176 model_3_valid = Model("3_H3_W2_VALID").Operation("CONV_2D", i7, f7, b7, 2, 1, 1, 0, layout).To(o8)
202 model9 = Model("quant_output_multiplier_gt_1").Operation("CONV_2D", i9, f9, b9, 2, 2, 2, 0).To(o9)
223 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
[all …]
Dl2_pool_v1_2.mod.py22 Model().Operation("L2_POOL_2D", i1, 0, 0, 0, 0, 1, 1, 1, 1, 0, layout).To(o1)
34 Model().Operation("L2_POOL_2D", i2, 1, 2, 2, 2, 2, 0, layout).To(o2)
46 Model("large").Operation("L2_POOL_2D", i3, 0, 0, 0, 0, 1, 1, 2, 2, 0, layout).To(o3)
64 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
69 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
73 model = model.Operation("L2_POOL_2D", zero_sized, 0, 0, 0, 0, 1, 1, 2, 2, 0, layout).To(o3)
92 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
97 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
101 model = model.Operation("L2_POOL_2D", zero_sized, 1, 1, 1, 2, 2, 0, layout).To(o3)
Dtranspose_conv2d.mod.py26 Model().Operation("TRANSPOSE_CONV_2D", i1, w1, b1, s1, 2, 2, 2, act, layout).To(o1)
74 Model().Operation("TRANSPOSE_CONV_2D", i2, w2, b2, s2, 1, 3, 3, 1, layout).To(o2)
106 Model().Operation("TRANSPOSE_CONV_2D", i3, w3, b3, s3, 1, 1, 1, 0, layout).To(o3)
132 Model().Operation("TRANSPOSE_CONV_2D", i4, w4, b4, s4, 2, 1, 1, 0, layout).To(o4)
159 Model().Operation("TRANSPOSE_CONV_2D", i5, w5, b5, 1, 2, 2, 1, 1, 1, 0, layout).To(o5)
187 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
192 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
199 model = model.Operation("TRANSPOSE_CONV_2D", zero_sized, w, b, s, 2, 2, 2, 0, layout).To(o3)
230 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
235 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 4, 4, 2.0, 2.0, 4, 4, layout).To(zero_sized)
[all …]
Davg_pool_v1_2.mod.py22 Model().Operation("AVERAGE_POOL_2D", i1, 0, 0, 0, 0, 1, 1, 1, 1, 0, layout).To(o1)
52 Model().Operation("AVERAGE_POOL_2D", i2, pad, pad, pad, pad, std, std, flt, flt, 0, layout).To(o2)
80 Model().Operation("AVERAGE_POOL_2D", i3, pad, pad, pad, pad, std, std, flt, flt, 0, layout).To(o3)
108 Model().Operation("AVERAGE_POOL_2D", i4, pad, pad, pad, pad, std, std, flt, flt, 3, layout).To(o4)
126 Model().Operation("AVERAGE_POOL_2D", i5, 1, 2, 2, 2, 2, 0, layout).To(o5)
150 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
155 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
159 model = model.Operation("AVERAGE_POOL_2D", zero_sized, 0, 0, 0, 0, 1, 1, 2, 2, 0, layout).To(o3)
188 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
193 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
[all …]
Dmax_pool_v1_2.mod.py22 Model().Operation("MAX_POOL_2D", i1, 0, 0, 0, 0, 1, 1, 1, 1, 0, layout).To(o1)
50 Model().Operation("MAX_POOL_2D", i2, pad, pad, pad, pad, std, std, flt, flt, 0, layout).To(o2)
78 Model().Operation("MAX_POOL_2D", i3, pad, pad, pad, pad, std, std, flt, flt, 3, layout).To(o3)
96 Model().Operation("MAX_POOL_2D", i4, 1, 2, 2, 2, 2, 0, layout).To(o4)
120 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
125 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
129 model = model.Operation("MAX_POOL_2D", zero_sized, 0, 0, 0, 0, 1, 1, 2, 2, 0, layout).To(o3)
158 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
163 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
167 model = model.Operation("MAX_POOL_2D", zero_sized, 1, 1, 1, 2, 2, 0, layout).To(o3)
/packages/modules/NeuralNetworks/tools/test_generator/tests/P_internal/
Dadd_internal.mod.py42 model.Operation("ADD", o0, o1, act).To(o2)
43 model.Operation("ADD", p0, t5, act).To(t6)
44 model.Operation("ADD", i2, t0, act).To(t1)
45 model.Operation("ADD", i6, p0, act).To(t5)
46 model.Operation("ADD", i0, i1, act).To(t0)
47 model.Operation("ADD", t1, t3, act).To(t4)
48 model.Operation("ADD", t2, i5, act).To(t3)
49 model.Operation("ADD", t4, t6, act).To(o0)
50 model.Operation("ADD", i3, i4, act).To(t2)
51 model.Operation("ADD", i7, i8, act).To(o1)
/packages/modules/NeuralNetworks/tools/test_generator/tests/P_vts_internal/
Dadd_internal.mod.py42 model.Operation("ADD", o0, o1, act).To(o2)
43 model.Operation("ADD", p0, t5, act).To(t6)
44 model.Operation("ADD", i2, t0, act).To(t1)
45 model.Operation("ADD", i6, p0, act).To(t5)
46 model.Operation("ADD", i0, i1, act).To(t0)
47 model.Operation("ADD", t1, t3, act).To(t4)
48 model.Operation("ADD", t2, i5, act).To(t3)
49 model.Operation("ADD", t4, t6, act).To(o0)
50 model.Operation("ADD", i3, i4, act).To(t2)
51 model.Operation("ADD", i7, i8, act).To(o1)

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