Hi!
I did end-to-end test and in run_test.sh all was normal but when I did
/TensorFlow-Examples/examples/3_NeuralNetworks/convolutional_network.py
it raises error:
Caused by op 'Conv2D', defined at:
File "convolutional_network.py", line 97, in
pred = conv_net(x, weights, biases, keep_prob)
File "convolutional_network.py", line 56, in conv_net
conv1 = conv2d(x, weights['wc1'], biases['bc1'])
File "convolutional_network.py", line 39, in conv2d
x = tf.nn.conv2d(x, W, strides=[1, strides, strides, 1], padding='SAME')
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 394, in conv2d
data_format=data_format, name=name)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 748, in apply_op
op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 2388, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1300, in init
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Cannot assign a device to node 'Conv2D': Could not satisfy explicit device specification '/device:GPU:0' because no supported kernel for GPU devices is available.
[[Node: Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/device:GPU:0"](Reshape, Variable/read)]]
System: Ubuntu 16.04
clinfo:
Number of platforms 1
Platform Name AMD Accelerated Parallel Processing
Platform Vendor Advanced Micro Devices, Inc.
Platform Version OpenCL 2.0 AMD-APP (2442.7)
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_icd cl_amd_event_callback cl_amd_offline_devices
Platform Extensions function suffix AMD
Platform Name AMD Accelerated Parallel Processing
Number of devices 1
Device Name Baffin
Device Vendor Advanced Micro Devices, Inc.
Device Vendor ID 0x1002
Device Version OpenCL 1.2 AMD-APP (2442.7)
Driver Version 2442.7
Device OpenCL C Version OpenCL C 1.2
Device Type GPU
Device Profile FULL_PROFILE
Device Board Name (AMD) AMD Radeon (TM) RX 460 Graphics
Device Topology (AMD) PCI-E, 25:00.0
Max compute units 14
SIMD per compute unit (AMD) 4
SIMD width (AMD) 16
SIMD instruction width (AMD) 1
Max clock frequency 1224MHz
Graphics IP (AMD) 8.0
Device Partition (core)
Max number of sub-devices 14
Supported partition types none specified
Max work item dimensions 3
Max work item sizes 256x256x256
Max work group size 256
Preferred work group size multiple 64
Wavefront width (AMD) 64
Preferred / native vector sizes
char 4 / 4
short 2 / 2
int 1 / 1
long 1 / 1
half 1 / 1 (cl_khr_fp16)
float 1 / 1
double 1 / 1 (cl_khr_fp64)
Half-precision Floating-point support (cl_khr_fp16)
Denormals No
Infinity and NANs No
Round to nearest No
Round to zero No
Round to infinity No
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Correctly-rounded divide and sqrt operations No
Single-precision Floating-point support (core)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Correctly-rounded divide and sqrt operations Yes
Double-precision Floating-point support (cl_khr_fp64)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Correctly-rounded divide and sqrt operations No
Address bits 64, Little-Endian
Global memory size 1846394880 (1.72GiB)
Global free memory (AMD) 1784112 (1.701GiB)
Global memory channels (AMD) 4
Global memory banks per channel (AMD) 16
Global memory bank width (AMD) 256 bytes
Error Correction support No
Max memory allocation 1207246848 (1.124GiB)
Unified memory for Host and Device No
Minimum alignment for any data type 128 bytes
Alignment of base address 2048 bits (256 bytes)
Global Memory cache type Read/Write
Global Memory cache size 16384
Global Memory cache line 64 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 134217728 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 256 bytes
Pitch alignment for 2D image buffers 256 bytes
Max 2D image size 16384x16384 pixels
Max 3D image size 2048x2048x2048 pixels
Max number of read image args 128
Max number of write image args 8
Local memory type Local
Local memory size 32768 (32KiB)
Local memory syze per CU (AMD) 65536 (64KiB)
Local memory banks (AMD) 32
Max constant buffer size 1207246848 (1.124GiB)
Max number of constant args 8
Max size of kernel argument 1024
Queue properties
Out-of-order execution No
Profiling Yes
Prefer user sync for interop Yes
Profiling timer resolution 1ns
Profiling timer offset since Epoch (AMD) 1505777016264673710ns (Tue Sep 19 02:23:36 2017)
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
Thread trace supported (AMD) Yes
SPIR versions 1.2
printf() buffer size 1048576 (1024KiB)
Built-in kernels
Device Available Yes
Compiler Available Yes
Linker Available Yes
Device Extensions cl_khr_fp64 cl_amd_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_gl_sharing cl_amd_device_attribute_query cl_amd_vec3 cl_amd_printf cl_amd_media_ops cl_amd_media_ops2 cl_amd_popcnt cl_khr_image2d_from_buffer cl_khr_spir cl_khr_gl_event
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) No platform
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) No platform
clCreateContext(NULL, ...) [default] No platform
clCreateContext(NULL, ...) [other] Success [AMD]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) No platform
subshall
commented
6 years ago
Hi! I did end-to-end test and in run_test.sh all was normal but when I did /TensorFlow-Examples/examples/3_NeuralNetworks/convolutional_network.py it raises error:
Caused by op 'Conv2D', defined at: File "convolutional_network.py", line 97, in
pred = conv_net(x, weights, biases, keep_prob)
File "convolutional_network.py", line 56, in conv_net
conv1 = conv2d(x, weights['wc1'], biases['bc1'])
File "convolutional_network.py", line 39, in conv2d
x = tf.nn.conv2d(x, W, strides=[1, strides, strides, 1], padding='SAME')
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 394, in conv2d
data_format=data_format, name=name)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 748, in apply_op
op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 2388, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1300, in init
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Cannot assign a device to node 'Conv2D': Could not satisfy explicit device specification '/device:GPU:0' because no supported kernel for GPU devices is available. [[Node: Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/device:GPU:0"](Reshape, Variable/read)]]
System: Ubuntu 16.04
clinfo:
Number of platforms 1 Platform Name AMD Accelerated Parallel Processing Platform Vendor Advanced Micro Devices, Inc. Platform Version OpenCL 2.0 AMD-APP (2442.7) Platform Profile FULL_PROFILE Platform Extensions cl_khr_icd cl_amd_event_callback cl_amd_offline_devices Platform Extensions function suffix AMD
Platform Name AMD Accelerated Parallel Processing Number of devices 1 Device Name Baffin Device Vendor Advanced Micro Devices, Inc. Device Vendor ID 0x1002 Device Version OpenCL 1.2 AMD-APP (2442.7) Driver Version 2442.7 Device OpenCL C Version OpenCL C 1.2 Device Type GPU Device Profile FULL_PROFILE Device Board Name (AMD) AMD Radeon (TM) RX 460 Graphics Device Topology (AMD) PCI-E, 25:00.0 Max compute units 14 SIMD per compute unit (AMD) 4 SIMD width (AMD) 16 SIMD instruction width (AMD) 1 Max clock frequency 1224MHz Graphics IP (AMD) 8.0 Device Partition (core) Max number of sub-devices 14 Supported partition types none specified Max work item dimensions 3 Max work item sizes 256x256x256 Max work group size 256 Preferred work group size multiple 64 Wavefront width (AMD) 64 Preferred / native vector sizes
char 4 / 4
short 2 / 2
int 1 / 1
long 1 / 1
half 1 / 1 (cl_khr_fp16) float 1 / 1
double 1 / 1 (cl_khr_fp64) Half-precision Floating-point support (cl_khr_fp16) Denormals No Infinity and NANs No Round to nearest No Round to zero No Round to infinity No IEEE754-2008 fused multiply-add No Support is emulated in software No Correctly-rounded divide and sqrt operations No Single-precision Floating-point support (core) Denormals No Infinity and NANs Yes Round to nearest Yes Round to zero Yes Round to infinity Yes IEEE754-2008 fused multiply-add Yes Support is emulated in software No Correctly-rounded divide and sqrt operations Yes Double-precision Floating-point support (cl_khr_fp64) Denormals Yes Infinity and NANs Yes Round to nearest Yes Round to zero Yes Round to infinity Yes IEEE754-2008 fused multiply-add Yes Support is emulated in software No Correctly-rounded divide and sqrt operations No Address bits 64, Little-Endian Global memory size 1846394880 (1.72GiB) Global free memory (AMD) 1784112 (1.701GiB) Global memory channels (AMD) 4 Global memory banks per channel (AMD) 16 Global memory bank width (AMD) 256 bytes Error Correction support No Max memory allocation 1207246848 (1.124GiB) Unified memory for Host and Device No Minimum alignment for any data type 128 bytes Alignment of base address 2048 bits (256 bytes) Global Memory cache type Read/Write Global Memory cache size 16384 Global Memory cache line 64 bytes Image support Yes Max number of samplers per kernel 16 Max size for 1D images from buffer 134217728 pixels Max 1D or 2D image array size 2048 images Base address alignment for 2D image buffers 256 bytes Pitch alignment for 2D image buffers 256 bytes Max 2D image size 16384x16384 pixels Max 3D image size 2048x2048x2048 pixels Max number of read image args 128 Max number of write image args 8 Local memory type Local Local memory size 32768 (32KiB) Local memory syze per CU (AMD) 65536 (64KiB) Local memory banks (AMD) 32 Max constant buffer size 1207246848 (1.124GiB) Max number of constant args 8 Max size of kernel argument 1024 Queue properties
Out-of-order execution No Profiling Yes Prefer user sync for interop Yes Profiling timer resolution 1ns Profiling timer offset since Epoch (AMD) 1505777016264673710ns (Tue Sep 19 02:23:36 2017) Execution capabilities
Run OpenCL kernels Yes Run native kernels No Thread trace supported (AMD) Yes SPIR versions 1.2 printf() buffer size 1048576 (1024KiB) Built-in kernels
Device Available Yes Compiler Available Yes Linker Available Yes Device Extensions cl_khr_fp64 cl_amd_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_gl_sharing cl_amd_device_attribute_query cl_amd_vec3 cl_amd_printf cl_amd_media_ops cl_amd_media_ops2 cl_amd_popcnt cl_khr_image2d_from_buffer cl_khr_spir cl_khr_gl_event
NULL platform behavior clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) No platform clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) No platform clCreateContext(NULL, ...) [default] No platform clCreateContext(NULL, ...) [other] Success [AMD] clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) No platform