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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
} else { // Generalize differing axis lengths to "variable"/"unknown". for (int axis_index = 0; axis_index < combined_shape.dims(); ++axis_index) { int64_t axis_length = combined_shape.dim_size(axis_index); if (axis_length != component_shape.dim_size(axis_index)) { axis_length = -1; } TF_RETURN_IF_ERROR(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device.cc
// Non-parallel tensors from _EagerConst/tf.constant are implicitly // broadcast, i.e. set as the input to each parallel operation. This // allows code like "tf.constant(1.)" or "tf.reduce_sum(..., axis=1)" // (where the value starts on the host), without allowing other implicit // copies/broadcasts. Other implicit copies may be supported eventually,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
TFE_Op* MinOp(TFE_Context* ctx, TFE_TensorHandle* input, TFE_TensorHandle* axis) { TF_Status* status = TF_NewStatus(); TFE_Op* op = TFE_NewOp(ctx, "Min", status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, input, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, axis, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2)