Searched refs:float_ops (Results 1 – 18 of 18) sorted by relevance
59 * If no RunMetadata is provided, tfprof counts float_ops of each graph node62 RunMetadata is provided, tfprof calculates float_ops as float_ops *68 tfprof> scope -min_float_ops 1 -select float_ops -account_displayed_op_only69 node name | # float_ops82 tfprof> op -min_float_ops 1 -select float_ops -account_displayed_op_only -order_by float_ops83 node name | # float_ops84 Conv2D 17.63b float_ops (100.00%, 100.00%)85 MatMul 491.52k float_ops (0.00%, 0.00%)86 BiasAdd 1.28k float_ops (0.00%, 0.00%)
101 …bytes|residual_bytes|output_bytes|micros|accelerator_micros|cpu_micros|params|float_ops|occurrence]119 [bytes|peak_bytes|residual_bytes|output_bytes|micros|accelerator_micros|cpu_micros|params|float_ops…
151 # [bytes|micros|params|float_ops|occurrence|tensor_value|device|op_types]
112 entry.float_ops = int(stats.value)178 if entry.float_ops > 0 and all_ops[op_name].float_ops == 0:179 all_ops[op_name].float_ops = entry.float_ops
45 mutable_proto()->set_float_ops(node->float_ops(step)); in ReInit()112 proto().float_ops()); in AddSelfToTotalStats()163 mutable_proto()->set_float_ops(node->float_ops()); in ReInit()219 proto().float_ops()); in AddSelfToTotalStats()
356 void AddFloatOps(int64 float_ops) { node_.set_float_ops(float_ops); } in AddFloatOps() argument678 int64 float_ops(int64 step) const { in float_ops() function681 return node_.float_ops(); in float_ops()684 return node_.float_ops() * run_count(step); in float_ops()813 float_ops_ += node->float_ops(step); in SnapshotNodes()849 int64 float_ops() const { return float_ops_; } in float_ops() function
287 pct = 100.0 * node->proto().float_ops() / root->proto().total_float_ops(); in FormatNode()292 FormatNumber(node->proto().float_ops()).c_str(), in FormatNode()
85 node->proto().float_ops() < opts.min_float_ops || in ShouldShow()166 fops = FormatNumber(node->proto().float_ops()) + "/" + fops; in FormatNode()
253 if (entry.float_ops()) { in AddOpLogProto()254 node->second->AddFloatOps(entry.float_ops()); in AddOpLogProto()
230 sample_pb->mutable_value()->Add(gn->float_ops(node->node->step())); in Add()666 fops = FormatNumber(node->proto().float_ops()) + "/" + fops; in FormatNode()
30 // float_ops is filled by tfprof Python API when called. It requires the33 int64 float_ops = 2; field88 int64 float_ops = 8; field
43 int64 float_ops = 13; field105 int64 float_ops = 5; field
1155 static const uint16_t float_ops[5] = { in __indirect_glVertexPointer() local1181 opcode = float_ops[size]; in __indirect_glVertexPointer()1271 static const uint16_t float_ops[5] = { in __indirect_glColorPointer() local1309 opcode = float_ops[size]; in __indirect_glColorPointer()1413 static const uint16_t float_ops[5] = { in __indirect_glTexCoordPointer() local1463 opcode = float_ops[size]; in __indirect_glTexCoordPointer()1619 static const uint16_t float_ops[5] = { in __indirect_glVertexAttribPointer() local1698 opcode = float_ops[size]; in __indirect_glVertexAttribPointer()
155 float_ops = [187 float_ops += [math_ops.floor_div]188 for op in logical_ops + float_ops:
60 name: "float_ops"
73 name: "float_ops"
10 kernel void float_ops() {
9 kernel void float_ops() {