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$ TF_CPP_MIN_VLOG_LEVEL=2 python gpu.py
I tensorflow/core/common_runtime/session_factory.cc:75] SessionFactory type DIRECT_SESSION accepts target:
I tensorflow/core/common_runtime/session_factory.cc:79] SessionFactory type GRPC_SESSION does not accept target:
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
I tensorflow/core/common_runtime/local_device.cc:40] Local device intra op parallelism threads: 8
I tensorflow/core/common_runtime/direct_session.cc:83] Direct session inter op parallelism threads: 8
Device mapping: no known devices.
I tensorflow/core/common_runtime/direct_session.cc:257] Device mapping:
I tensorflow/core/common_runtime/simple_graph_execution_state.cc:235] Mapping _SOURCE to 0
I tensorflow/core/common_runtime/simple_graph_execution_state.cc:235] Mapping _SINK to 1
I tensorflow/core/common_runtime/simple_graph_execution_state.cc:235] Mapping b to 2
I tensorflow/core/common_runtime/simple_graph_execution_state.cc:235] Mapping a to 3
I tensorflow/core/common_runtime/simple_graph_execution_state.cc:235] Mapping MatMul to 4
I tensorflow/core/graph/costmodel.cc:389] Node 2: b type_string: Const
I tensorflow/core/graph/costmodel.cc:389] Node 3: a type_string: Const
I tensorflow/core/graph/costmodel.cc:389] Node 4: MatMul type_string: MatMul
I tensorflow/core/common_runtime/optimization_registry.cc:37] Running optimization phase 0
MatMul: (MatMul): /job:localhost/replica:0/task:0/cpu:0
I tensorflow/core/common_runtime/simple_placer.cc:841] MatMul: (MatMul)/job:localhost/replica:0/task:0/cpu:0
b: (Const): /job:localhost/replica:0/task:0/cpu:0
I tensorflow/core/common_runtime/simple_placer.cc:841] b: (Const)/job:localhost/replica:0/task:0/cpu:0
a: (Const): /job:localhost/replica:0/task:0/cpu:0
I tensorflow/core/common_runtime/simple_placer.cc:841] a: (Const)/job:localhost/replica:0/task:0/cpu:0
I tensorflow/core/common_runtime/simple_graph_execution_state.cc:279] BuildGraph
I tensorflow/core/graph/subgraph.cc:186] Found fetch node for MatMul:0
I tensorflow/core/graph/subgraph.cc:217] Created fetch node: _send_MatMul_0 = _Send[T=DT_FLOAT, client_terminated=true, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=5917631798472502542, tensor_name="MatMul:0"](MatMul)
I tensorflow/core/graph/algorithm.cc:119] Reverse reach init: _send_MatMul_0
I tensorflow/core/graph/algorithm.cc:128] Reverse reach : _send_MatMul_0 from MatMul
I tensorflow/core/graph/algorithm.cc:128] Reverse reach : MatMul from a
I tensorflow/core/graph/algorithm.cc:128] Reverse reach : MatMul from b
I tensorflow/core/graph/algorithm.cc:128] Reverse reach : a from _SOURCE
I tensorflow/core/graph/graph_partition.cc:1049] Added send/recv: controls=0, data=0
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 3 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 1 has_single_reference: true ptr: 139998494113792 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 1 allocator_name: "cpu" }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 3 } dim { size: 2 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 2 has_single_reference: true ptr: 139998494113792 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 2 allocator_name: "cpu" }
I tensorflow/core/common_runtime/direct_session.cc:1145] Created
() -> () {
n2 = Const[dtype=float, value=Tensor<type: float shape: [2,3] values: [1 2 3]...>]()
n3 = Const[dtype=float, value=Tensor<type: float shape: [3,2] values: [1 2][3]...>]()
n4 = MatMul[T=float, transpose_a=false, transpose_b=false](n2, n3)
n5 = _Send[T=float, client_terminated=true, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=5917631798472502542, tensor_name="MatMul:0"](n4)
}
for /job:localhost/replica:0/task:0/cpu:0
I tensorflow/core/common_runtime/function.cc:457] Graph Initial #nodes 6 #edges 7
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 3 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 3 has_single_reference: true ptr: 139998494113792 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 3 allocator_name: "cpu" }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 3 } dim { size: 2 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 4 has_single_reference: true ptr: 139998494113792 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 4 allocator_name: "cpu" }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/common_runtime/function.cc:461] || () -> () {
I tensorflow/core/common_runtime/function.cc:461] || n2 = Const[dtype=float, value=Tensor<type: float shape: [2,3] values: [1 2 3]...>]()
I tensorflow/core/common_runtime/function.cc:461] || n3 = Const[dtype=float, value=Tensor<type: float shape: [3,2] values: [1 2][3]...>]()
I tensorflow/core/common_runtime/function.cc:461] || n4 = MatMul[T=float, transpose_a=false, transpose_b=false](n2, n3)
I tensorflow/core/common_runtime/function.cc:461] || n5 = _Send[T=float, client_terminated=true, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=5917631798472502542, tensor_name="MatMul:0"](n4)
I tensorflow/core/common_runtime/function.cc:461] || }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/common_runtime/function.cc:716] Removing list array converter
I tensorflow/core/common_runtime/function.cc:457] Graph Before #nodes 6 #edges 7
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 3 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 5 has_single_reference: true ptr: 139998494113792 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 5 allocator_name: "cpu" }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 3 } dim { size: 2 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 6 has_single_reference: true ptr: 139998494113792 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 6 allocator_name: "cpu" }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/common_runtime/function.cc:461] || () -> () {
I tensorflow/core/common_runtime/function.cc:461] || n2 = Const[dtype=float, value=Tensor<type: float shape: [2,3] values: [1 2 3]...>]()
I tensorflow/core/common_runtime/function.cc:461] || n3 = Const[dtype=float, value=Tensor<type: float shape: [3,2] values: [1 2][3]...>]()
I tensorflow/core/common_runtime/function.cc:461] || n4 = MatMul[T=float, transpose_a=false, transpose_b=false](n2, n3)
I tensorflow/core/common_runtime/function.cc:461] || n5 = _Send[T=float, client_terminated=true, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=5917631798472502542, tensor_name="MatMul:0"](n4)
I tensorflow/core/common_runtime/function.cc:461] || }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/common_runtime/function.cc:457] Graph Constant graph #nodes 5 #edges 5
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 3 } dim { size: 2 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 7 has_single_reference: true ptr: 139998494113792 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 7 allocator_name: "cpu" }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 3 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 8 has_single_reference: true ptr: 139998494113792 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 8 allocator_name: "cpu" }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/common_runtime/function.cc:461] || () -> () {
I tensorflow/core/common_runtime/function.cc:461] || n2 = Const[dtype=float, value=Tensor<type: float shape: [3,2] values: [1 2][3]...>]()
I tensorflow/core/common_runtime/function.cc:461] || n3 = Const[dtype=float, value=Tensor<type: float shape: [2,3] values: [1 2 3]...>]()
I tensorflow/core/common_runtime/function.cc:461] || n4 = MatMul[T=float, transpose_a=false, transpose_b=false](n3, n2)
I tensorflow/core/common_runtime/function.cc:461] || }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/common_runtime/constant_folding.cc:292] Constant foldable 5 : 6
I tensorflow/core/graph/subgraph.cc:186] Found fetch node for MatMul:0
I tensorflow/core/graph/subgraph.cc:217] Created fetch node: _send_MatMul_0 = _Send[T=DT_FLOAT, client_terminated=true, recv_device="/cpu:0", send_device="/cpu:0", send_device_incarnation=8588734073850983713, tensor_name="MatMul:0"](MatMul)
I tensorflow/core/graph/algorithm.cc:119] Reverse reach init: _send_MatMul_0
I tensorflow/core/graph/algorithm.cc:128] Reverse reach : _send_MatMul_0 from MatMul
I tensorflow/core/graph/algorithm.cc:128] Reverse reach : MatMul from a
I tensorflow/core/graph/algorithm.cc:128] Reverse reach : MatMul from b
I tensorflow/core/graph/algorithm.cc:128] Reverse reach : a from _SOURCE
I tensorflow/core/framework/op_kernel.cc:858] Instantiating kernel for node: _SOURCE = NoOp[]()
I tensorflow/core/framework/op_kernel.cc:858] Instantiating kernel for node: _SINK = NoOp[]()
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 3 } dim { size: 2 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 9 has_single_reference: true ptr: 139998494113792 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 9 allocator_name: "cpu" }
I tensorflow/core/framework/op_kernel.cc:858] Instantiating kernel for node: b = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [3,2] values: [1 2][3]...>, _device="/job:localhost/replica:0/task:0/cpu:0"]()
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 3 } dim { size: 2 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 10 has_single_reference: true ptr: 139998494113792 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 3 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 11 has_single_reference: true ptr: 139998494113824 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 11 allocator_name: "cpu" }
I tensorflow/core/framework/op_kernel.cc:858] Instantiating kernel for node: a = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [2,3] values: [1 2 3]...>, _device="/job:localhost/replica:0/task:0/cpu:0"]()
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 3 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 12 has_single_reference: true ptr: 139998494113824 } } }
I tensorflow/core/framework/op_kernel.cc:858] Instantiating kernel for node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/cpu:0"](a, b)
I tensorflow/core/framework/op_kernel.cc:858] Instantiating kernel for node: _send_MatMul_0 = _Send[T=DT_FLOAT, client_terminated=true, recv_device="/cpu:0", send_device="/cpu:0", send_device_incarnation=8588734073850983713, tensor_name="MatMul:0"](MatMul)
I tensorflow/core/common_runtime/executor.cc:710] node MatMul is the source of an RPC out
I tensorflow/core/common_runtime/executor.cc:1508] Process node: 0 step -1 _SOURCE = NoOp[]()
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 3 } dim { size: 2 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 13 has_single_reference: true ptr: 139998494113856 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 13 allocator_name: "cpu" }
I tensorflow/core/common_runtime/executor.cc:1508] Process node: 2 step -1 b = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [3,2] values: [1 2][3]...>, _device="/job:localhost/replica:0/task:0/cpu:0"]()
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorOutput { step_id: -1 kernel_name: "b" tensor { dtype: DT_FLOAT shape { dim { size: 3 } dim { size: 2 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 10 ptr: 139998494113792 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 3 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 14 has_single_reference: true ptr: 139998494113856 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 14 allocator_name: "cpu" }
I tensorflow/core/common_runtime/executor.cc:1508] Process node: 3 step -1 a = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [2,3] values: [1 2 3]...>, _device="/job:localhost/replica:0/task:0/cpu:0"]()
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorOutput { step_id: -1 kernel_name: "a" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 3 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 12 ptr: 139998494113824 } } }
I tensorflow/core/common_runtime/executor.cc:1508] Process node: 4 step -1 MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/cpu:0"](a, b)
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -1 kernel_name: "MatMul" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } } allocation_description { requested_bytes: 16 allocated_bytes: 16 allocator_name: "cpu" allocation_id: 15 has_single_reference: true ptr: 139998494113856 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorOutput { step_id: -1 kernel_name: "MatMul" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } } allocation_description { requested_bytes: 16 allocated_bytes: 16 allocator_name: "cpu" allocation_id: 15 has_single_reference: true ptr: 139998494113856 } } }
I tensorflow/core/common_runtime/executor.cc:1508] Process node: 5 step -1 _send_MatMul_0 = _Send[T=DT_FLOAT, client_terminated=true, recv_device="/cpu:0", send_device="/cpu:0", send_device_incarnation=8588734073850983713, tensor_name="MatMul:0"](MatMul)
I tensorflow/core/kernels/sendrecv_ops.cc:63] Send /cpu:0;77315022962e7521;/cpu:0;MatMul:0;0:0
I tensorflow/core/common_runtime/executor.cc:2284] Delete frame
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 10 allocator_name: "cpu" }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 12 allocator_name: "cpu" }
I tensorflow/core/common_runtime/constant_folding.cc:235] Replacing {name:'MatMul' id:4 op device:{/job:localhost/replica:0/task:0/cpu:0} def:{MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/cpu:0"](a, b)}} :: 0 with a constant
I tensorflow/core/common_runtime/function.cc:457] Graph After #nodes 7 #edges 8
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } } allocation_description { requested_bytes: 16 allocated_bytes: 16 allocator_name: "cpu" allocation_id: 16 has_single_reference: true ptr: 139998494113824 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 16 allocator_name: "cpu" }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 3 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 17 has_single_reference: true ptr: 139998494113824 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 17 allocator_name: "cpu" }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 3 } dim { size: 2 } } allocation_description { requested_bytes: 24 allocated_bytes: 24 allocator_name: "cpu" allocation_id: 18 has_single_reference: true ptr: 139998494113824 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 18 allocator_name: "cpu" }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/common_runtime/function.cc:461] || () -> () {
I tensorflow/core/common_runtime/function.cc:461] || n6 = Const[dtype=float, value=Tensor<type: float shape: [2,2] values: [22 28][49]...>]()
I tensorflow/core/common_runtime/function.cc:461] || n2 = Const[dtype=float, value=Tensor<type: float shape: [2,3] values: [1 2 3]...>]()
I tensorflow/core/common_runtime/function.cc:461] || n3 = Const[dtype=float, value=Tensor<type: float shape: [3,2] values: [1 2][3]...>]()
I tensorflow/core/common_runtime/function.cc:461] || n5 = _Send[T=float, client_terminated=true, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=5917631798472502542, tensor_name="MatMul:0"](n6)
I tensorflow/core/common_runtime/function.cc:461] || n4 = MatMul[T=float, transpose_a=false, transpose_b=false](n2, n3)
I tensorflow/core/common_runtime/function.cc:461] || }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 15 allocator_name: "cpu" }
I tensorflow/core/common_runtime/function.cc:646] Removing dead nodes
I tensorflow/core/graph/algorithm.cc:119] Reverse reach init: _send_MatMul_0
I tensorflow/core/graph/algorithm.cc:119] Reverse reach init: _SINK
I tensorflow/core/graph/algorithm.cc:119] Reverse reach init: _SOURCE
I tensorflow/core/graph/algorithm.cc:128] Reverse reach : _send_MatMul_0 from MatMul/_0__cf__0
I tensorflow/core/common_runtime/function.cc:457] Graph ConstFolding #nodes 4 #edges 4
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } } allocation_description { requested_bytes: 16 allocated_bytes: 16 allocator_name: "cpu" allocation_id: 19 has_single_reference: true ptr: 139998494113856 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 19 allocator_name: "cpu" }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/common_runtime/function.cc:461] || () -> () {
I tensorflow/core/common_runtime/function.cc:461] || n6 = Const[dtype=float, value=Tensor<type: float shape: [2,2] values: [22 28][49]...>]()
I tensorflow/core/common_runtime/function.cc:461] || n5 = _Send[T=float, client_terminated=true, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=5917631798472502542, tensor_name="MatMul:0"](n6)
I tensorflow/core/common_runtime/function.cc:461] || }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/common_runtime/function.cc:716] Removing list array converter
I tensorflow/core/common_runtime/function.cc:457] Graph Before #nodes 4 #edges 4
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } } allocation_description { requested_bytes: 16 allocated_bytes: 16 allocator_name: "cpu" allocation_id: 20 has_single_reference: true ptr: 139998494113856 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 20 allocator_name: "cpu" }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/common_runtime/function.cc:461] || () -> () {
I tensorflow/core/common_runtime/function.cc:461] || n6 = Const[dtype=float, value=Tensor<type: float shape: [2,2] values: [22 28][49]...>]()
I tensorflow/core/common_runtime/function.cc:461] || n5 = _Send[T=float, client_terminated=true, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=5917631798472502542, tensor_name="MatMul:0"](n6)
I tensorflow/core/common_runtime/function.cc:461] || }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/common_runtime/constant_folding.cc:275] No constant foldable nodes found
I tensorflow/core/common_runtime/function.cc:457] Graph ReCopy #nodes 4 #edges 5
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } } allocation_description { requested_bytes: 16 allocated_bytes: 16 allocator_name: "cpu" allocation_id: 21 has_single_reference: true ptr: 139998494113856 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 21 allocator_name: "cpu" }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/common_runtime/function.cc:461] || () -> () {
I tensorflow/core/common_runtime/function.cc:461] || n3 = Const[dtype=float, value=Tensor<type: float shape: [2,2] values: [22 28][49]...>]()
I tensorflow/core/common_runtime/function.cc:461] || n2 = _Send[T=float, client_terminated=true, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=5917631798472502542, tensor_name="MatMul:0"](n3)
I tensorflow/core/common_runtime/function.cc:461] || }
I tensorflow/core/common_runtime/function.cc:461] ||
I tensorflow/core/framework/op_kernel.cc:858] Instantiating kernel for node: _SOURCE = NoOp[]()
I tensorflow/core/framework/op_kernel.cc:858] Instantiating kernel for node: _SINK = NoOp[]()
I tensorflow/core/framework/op_kernel.cc:858] Instantiating kernel for node: _send_MatMul_0 = _Send[T=DT_FLOAT, client_terminated=true, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=5917631798472502542, tensor_name="MatMul:0", _device="/job:localhost/replica:0/task:0/cpu:0"](MatMul)
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } } allocation_description { requested_bytes: 16 allocated_bytes: 16 allocator_name: "cpu" allocation_id: 22 has_single_reference: true ptr: 139998494113856 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 22 allocator_name: "cpu" }
I tensorflow/core/framework/op_kernel.cc:858] Instantiating kernel for node: MatMul/_0__cf__0 = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [2,2] values: [22 28][49]...>, _device="/job:localhost/replica:0/task:0/cpu:0"]()
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } } allocation_description { requested_bytes: 16 allocated_bytes: 16 allocator_name: "cpu" allocation_id: 23 has_single_reference: true ptr: 139998494113856 } } }
I tensorflow/core/common_runtime/executor.cc:720] default alloc case local type CPU remote type CPU
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogStep { step_id: 1 handle: "->MatMul:0//0/;0" }
I tensorflow/core/common_runtime/executor.cc:1508] Process node: 0 step 1 _SOURCE = NoOp[]()
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorAllocation { step_id: -6 kernel_name: "Unknown (from Proto)" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } } allocation_description { requested_bytes: 16 allocated_bytes: 16 allocator_name: "cpu" allocation_id: 24 has_single_reference: true ptr: 139997952921600 } } }
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 24 allocator_name: "cpu" }
I tensorflow/core/common_runtime/executor.cc:1508] Process node: 3 step 1 MatMul/_0__cf__0 = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [2,2] values: [22 28][49]...>, _device="/job:localhost/replica:0/task:0/cpu:0"]()
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorOutput { step_id: 1 kernel_name: "MatMul/_0__cf__0" tensor { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } } allocation_description { requested_bytes: 16 allocated_bytes: 16 allocator_name: "cpu" allocation_id: 23 ptr: 139998494113856 } } }
I tensorflow/core/common_runtime/executor.cc:1508] Process node: 2 step 1 _send_MatMul_0 = _Send[T=DT_FLOAT, client_terminated=true, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=5917631798472502542, tensor_name="MatMul:0", _device="/job:localhost/replica:0/task:0/cpu:0"](MatMul)
I tensorflow/core/kernels/sendrecv_ops.cc:63] Send /job:localhost/replica:0/task:0/cpu:0;521fa6c48b826d0e;/job:localhost/replica:0/task:0/cpu:0;MatMul:0;0:0
I tensorflow/core/common_runtime/rendezvous_mgr.cc:42] IntraProcessRendezvous Send 0x3053070 /job:localhost/replica:0/task:0/cpu:0;521fa6c48b826d0e;/job:localhost/replica:0/task:0/cpu:0;MatMul:0;0:0
I tensorflow/core/framework/rendezvous.cc:157] Send 0x2dc4a90 18089737173964370344 /job:localhost/replica:0/task:0/cpu:0;521fa6c48b826d0e;/job:localhost/replica:0/task:0/cpu:0;MatMul:0;0:0
I tensorflow/core/common_runtime/executor.cc:2284] Delete frame
I tensorflow/core/common_runtime/rendezvous_mgr.cc:115] IntraProcessRendezvous Recv 0x3053070 /job:localhost/replica:0/task:0/cpu:0;521fa6c48b826d0e;/job:localhost/replica:0/task:0/cpu:0;MatMul:0;0:0
I tensorflow/core/framework/rendezvous.cc:225] Recv 0x2dc4a90 18089737173964370344 /job:localhost/replica:0/task:0/cpu:0;521fa6c48b826d0e;/job:localhost/replica:0/task:0/cpu:0;MatMul:0;0:0
[[ 22. 28.]
[ 49. 64.]]
I tensorflow/core/framework/log_memory.cc:35] __LOG_MEMORY__ MemoryLogTensorDeallocation { allocation_id: 23 allocator_name: "cpu" }
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