/frameworks/ml/nn/runtime/test/specs/V1_0/ |
max_pool_quant8_1.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 24 model = model.Operation("MAX_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3)
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depthwise_conv2d_float_large_2_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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depthwise_conv2d_float_large_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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depthwise_conv2d_float_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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depthwise_conv2d_quant8_large_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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depthwise_conv2d_quant8_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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/frameworks/ml/nn/runtime/test/specs/V1_1/ |
avg_pool_float_1_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3)
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l2_pool_float_relaxed.mod.py | 20 pad0 = Int32Scalar("pad0", 0) variable 23 model = model.Operation("L2_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3)
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max_pool_float_1_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 24 model = model.Operation("MAX_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3)
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conv_float_channels_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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conv_float_channels_weights_as_inputs_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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conv_float_large_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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conv_float_large_weights_as_inputs_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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conv_float_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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conv_float_weights_as_inputs_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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depthwise_conv2d_float_large_2_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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depthwise_conv2d_float_large_2_weights_as_inputs_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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depthwise_conv2d_float_large_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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depthwise_conv2d_float_large_weights_as_inputs_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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depthwise_conv2d_float_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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depthwise_conv2d_float_weights_as_inputs_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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l2_pool_float_large_relaxed.mod.py | 23 pad0 = Int32Scalar("pad0", 0) variable 26 model = model.Operation("L2_POOL_2D", i1, pad0, pad0, pad0, pad0,
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/external/mesa3d/src/mesa/drivers/dri/i965/ |
brw_structs.h | 74 unsigned pad0:1; member in struct:thread0 87 unsigned pad0:3; member in struct:thread1 100 unsigned pad0:6; member in struct:thread2 109 unsigned pad0:1; member in struct:thread3 125 unsigned pad0:7; member in struct:brw_clip_unit_state::__anon30465 144 unsigned pad0:9; member in struct:brw_clip_unit_state::__anon30466 157 unsigned pad0:13; member in struct:brw_clip_unit_state::__anon30467 172 unsigned pad0:5; member in struct:brw_clip_unit_state::__anon30468 195 unsigned pad0:1; member in struct:gen6_blend_state::__anon30469 204 unsigned pad0:4 member in struct:gen6_blend_state::__anon30470 229 unsigned pad0:14; member in struct:gen6_color_calc_state::__anon30471 239 unsigned pad0:24; member in struct:gen6_color_calc_state::__anon30472::__anon30473 252 unsigned pad0:3; member in struct:gen6_depth_stencil_state::__anon30474 275 unsigned pad0:26; member in struct:gen6_depth_stencil_state::__anon30476 287 unsigned pad0:3; member in struct:brw_cc_unit_state::__anon30477 315 unsigned pad0:10; member in struct:brw_cc_unit_state::__anon30479 326 unsigned pad0:8; member in struct:brw_cc_unit_state::__anon30480 338 unsigned pad0:5; member in struct:brw_cc_unit_state::__anon30481 344 unsigned pad0:2; member in struct:brw_cc_unit_state::__anon30482 359 unsigned pad0:11; member in struct:brw_cc_unit_state::__anon30483 384 unsigned pad0:10; member in struct:brw_sf_unit_state::__anon30486 398 unsigned pad0:3; member in struct:brw_sf_unit_state::__anon30487 404 unsigned pad0:9; member in struct:brw_sf_unit_state::__anon30488 424 unsigned pad0:10; member in struct:brw_sf_unit_state::__anon30489 451 unsigned pad0:8; member in struct:brw_gs_unit_state::__anon30490 466 unsigned pad0:2; member in struct:brw_gs_unit_state::__anon30491 474 unsigned pad0:12; member in struct:brw_gs_unit_state::__anon30492 495 unsigned pad0:10; member in struct:brw_vs_unit_state::__anon30493 508 unsigned pad0:2; member in struct:brw_vs_unit_state::__anon30494 516 unsigned pad0:30; member in struct:brw_vs_unit_state::__anon30495 542 unsigned pad0:1; member in struct:brw_wm_unit_state::__anon30497 571 unsigned pad0:1; member in struct:brw_wm_unit_state::__anon30498 578 unsigned pad0:1; member in struct:brw_wm_unit_state::__anon30499 585 unsigned pad0:1; member in struct:brw_wm_unit_state::__anon30500 643 unsigned pad0[2]; member in struct:gen6_sf_viewport 656 unsigned pad0[2]; member in struct:gen7_sf_clip_viewport [all...] |
/frameworks/ml/nn/runtime/test/generated/models/ |
avg_pool_float_1.model.cpp | 8 auto pad0 = model->addOperand(&type1); local 15 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); 18 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {op3});
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avg_pool_float_1_relaxed.model.cpp | 8 auto pad0 = model->addOperand(&type1); local 15 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); 18 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {op3});
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