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configure.py
if ver < 35: print('WARNING: XLA does not support CUDA compute capabilities ' 'lower than sm_35. Disable XLA when running on older GPUs.') else: ver = float(m.group(0)) if ver < 3.0: print('ERROR: TensorFlow only supports CUDA compute capabilities 3.0 ' 'and higher. Please re-specify the list of compute '
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
tensorflow/c/eager/tape.h
}; // Template instantiations here inline bool IsDtypeTrainable(DataType dtype) { switch (dtype) { case DT_HALF: case DT_BFLOAT16: case DT_FLOAT: case DT_DOUBLE: case DT_COMPLEX64: case DT_COMPLEX128: case DT_RESOURCE: case DT_VARIANT: return true; case DT_QINT8: case DT_QINT16: case DT_QINT32:
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
.bazelrc
# END TF TEST SUITE OPTIONS # START CROSS-COMPILE CONFIGS # Set execution platform to Linux x86 # Note: Lot of the "host_" flags such as "host_cpu" and "host_crosstool_top" # flags seem to be actually used to specify the execution platform details. It # seems it is this way because these flags are old and predate the distinction
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2) -
tensorflow/c/eager/gradients_test.cc
ASSERT_EQ(errors::OK, s.code()) << s.message(); ctx.reset(ctx_raw); } AbstractTensorHandlePtr t; { AbstractTensorHandle* x_raw = nullptr; Status s = TestScalarTensorHandle<float, TF_FLOAT>(ctx.get(), 1.0f, &x_raw); ASSERT_EQ(errors::OK, s.code()) << s.message(); t.reset(x_raw); } AbstractOperationPtr check_numerics_op(ctx->CreateOperation()); ForwardOperation forward_op;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
GetDims(theta_tensor, theta_dims.data()); // Initialize auxilary data structures. vector<float> thetaPlus_data(num_elems); vector<float> thetaMinus_data(num_elems); AbstractTensorHandle* f_outputs[1]; // Numerical Grad Check for (int i = 0; i < num_elems; i++) { // Get relative epsilon value float epsilon = theta_data[i] == 0 ? 1e-4 : std::abs(theta_data[i] * 1e-4); AbstractTensorHandlePtr two_eps;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
delete[] static_cast<float*>(data); } // Creates a TFE_TensorHandle with value `v`. TensorHandlePtr FloatTensorHandle(float v, TF_Status* status) { const int num_bytes = sizeof(float); float* values = new float[1]; values[0] = v; std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> tensor( TF_NewTensor(TF_FLOAT, nullptr, 0, values, num_bytes, &FloatDeallocator,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.h
TFE_TensorHandle* TestMatrixTensorHandleWithInput(TFE_Context* ctx, float data[], int64_t dims[], int num_dims); // Get a Matrix TensorHandle with given float values and dimensions TFE_TensorHandle* TestTensorHandleWithDimsFloat(TFE_Context* ctx, float data[], int64_t dims[], int num_dims);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Jul 17 23:43:59 GMT 2023 - 7.7K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
} TEST(TensorPjRtBufferUtilTest, GetPjRtCBufferFromTensorNoBuffer) { auto allocator = std::make_unique<AsyncValueAllocator>(); tensorflow::Tensor tensor(allocator.get(), DT_FLOAT, {1}); EXPECT_THAT( GetPjRtCBufferFromTensor(&tensor), StatusIs(error::INTERNAL, HasSubstr(absl::StrCat( "Input tensor does not have PjRtBuffer")))); }
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 7.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_distributed_test.cc
" name: 'sum'" " type: DT_FLOAT" " }" " }" " node_def {" " name: 'read0'" " op: 'ReadVariableOp'" " input: 'var'" " device: '/job:localhost/replica:0/task:0/device:CPU:0'" " attr {" " key: 'dtype'" " value {" " type: DT_FLOAT" " }" " }" " }"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_test.cc
status.get()); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); // Create two vectors with different lengths std::vector<float> size_two_value{1., 2.}; std::vector<float> size_three_value{1., 2., 3.}; TensorHandlePtr size_two( VectorFloatTensorHandle(size_two_value, status.get())); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 29.3K bytes - Viewed (1)