Dealing with calculators¶
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typedef struct rascal_calculator_t rascal_calculator_t¶
Opaque type representing a
Calculator
The following functions operate on rascal_calculator_t
:
rascal_calculator()
: create new calculatorsrascal_calculator_free()
: free allocated calculatorsrascal_calculator_compute()
: run the actual calculationrascal_calculator_name()
get the name of a calculatorrascal_calculator_parameters()
: get the hyper-parameters of a calculatorrascal_calculator_cutoffs()
: get the cutoffs of a calculator
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struct rascal_calculator_t *rascal_calculator(const char *name, const char *parameters)¶
Create a new calculator with the given
name
andparameters
.The list of available calculators and the corresponding parameters are in the main documentation. The
parameters
should be formatted as JSON, according to the requested calculator schema.All memory allocated by this function can be released using
rascal_calculator_free
.- Parameters:
name – name of the calculator as a NULL-terminated string
parameters – hyper-parameters of the calculator, JSON-formatted in a NULL-terminated string
- Returns:
A pointer to the newly allocated calculator, or a
NULL
pointer in case of error. In case of error, you can userascal_last_error()
to get the error message.
-
rascal_status_t rascal_calculator_free(struct rascal_calculator_t *calculator)¶
Free the memory associated with a
calculator
previously created withrascal_calculator
.If
calculator
isNULL
, this function does nothing.- Parameters:
calculator – pointer to an existing calculator, or
NULL
- Returns:
The status code of this operation. If the status is not
RASCAL_SUCCESS
, you can userascal_last_error()
to get the full error message.
-
rascal_status_t rascal_calculator_compute(struct rascal_calculator_t *calculator, mts_tensormap_t **descriptor, struct rascal_system_t *systems, uintptr_t systems_count, struct rascal_calculation_options_t options)¶
Compute the representation of the given list of
systems
with acalculator
This function allocates a new
mts_tensormap_t
in*descriptor
, which memory needs to be released by the user withmts_tensormap_free
.- Parameters:
calculator – pointer to an existing calculator
descriptor – pointer to an
mts_tensormap_t *
that will be allocated by this functionsystems – pointer to an array of systems implementation
systems_count – number of systems in
systems
options – options for this calculation
- Returns:
The status code of this operation. If the status is not
RASCAL_SUCCESS
, you can userascal_last_error()
to get the full error message.
-
rascal_status_t rascal_calculator_name(const struct rascal_calculator_t *calculator, char *name, uintptr_t bufflen)¶
Get a copy of the name of this calculator in the
name
buffer of sizebufflen
.name
will be NULL-terminated by this function. If the buffer is too small to fit the whole name, this function will returnRASCAL_BUFFER_SIZE_ERROR
- Parameters:
calculator – pointer to an existing calculator
name – string buffer to fill with the calculator name
bufflen – number of characters available in the buffer
- Returns:
The status code of this operation. If the status is not
RASCAL_SUCCESS
, you can userascal_last_error()
to get the full error message.
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rascal_status_t rascal_calculator_parameters(const struct rascal_calculator_t *calculator, char *parameters, uintptr_t bufflen)¶
Get a copy of the parameters used to create this calculator in the
parameters
buffer of sizebufflen
.parameters
will be NULL-terminated by this function. If the buffer is too small to fit the whole name, this function will returnRASCAL_BUFFER_SIZE_ERROR
.- Parameters:
calculator – pointer to an existing calculator
parameters – string buffer to fill with the parameters used to create this calculator
bufflen – number of characters available in the buffer
- Returns:
The status code of this operation. If the status is not
RASCAL_SUCCESS
, you can userascal_last_error()
to get the full error message.
-
rascal_status_t rascal_calculator_cutoffs(const struct rascal_calculator_t *calculator, const double **cutoffs, uintptr_t *cutoffs_count)¶
Get all radial cutoffs used by this
calculator
’s neighbors lists (which can be an empty list).The
*cutoffs
pointer will be pointing to data inside thecalculator
, and is only valid when thecalculator
itself is.- Parameters:
calculator – pointer to an existing calculator
cutoffs – pointer to be filled with the address of the first element of an array of cutoffs
cutoffs_count – pointer to be filled with the number of elements in the
cutoffs
array
- Returns:
The status code of this operation. If the status is not
RASCAL_SUCCESS
, you can userascal_last_error()
to get the full error message.
-
struct rascal_calculation_options_t¶
Options that can be set to change how a calculator operates.
Public Members
-
const char *const *gradients¶
Array of NULL-terminated strings containing the gradients to compute. If this field is NULL and gradients_count is 0, no gradients are computed.
The following gradients are available:
"positions"
, for gradients of the representation with respect to atomic positions, with fixed cell matrix parameters. Positions gradients are computed as\[\frac{\partial \langle q \vert A_i \rangle} {\partial \mathbf{r_j}}\]where \(\langle q \vert A_i \rangle\) is the representation around atom \(i\) and \(\mathbf{r_j}\) is the position vector of the atom \(j\).
Note: Position gradients of an atom are computed with respect to all other atoms within the representation. To recover the force one has to accumulate all pairs associated with atom \(i\).
"strain"
, for gradients of the representation with respect to strain. These gradients are typically used to compute the virial, and from there the pressure acting on a system. To compute them, we pretend that all the positions \(\mathbf r\) and unit cell \(\mathbf H\) have been scaled by a strain matrix \(\epsilon\):\[\begin{split}\mathbf r &\rightarrow \mathbf r \left(\mathbb{1} + \epsilon \right)\\ \mathbf H &\rightarrow \mathbf H \left(\mathbb{1} + \epsilon \right)\end{split}\]and then take the gradients of the representation with respect to this matrix:
\[\frac{\partial \langle q \vert A_i \rangle} {\partial \mathbf{\epsilon}}\]"cell"
, for gradients of the representation with respect to the system’s cell parameters. These gradients are computed at fixed positions, and often not what you want when computing gradients explicitly (they are mainly used inrascaline.torch
to integrate with backward propagation). If you are trying to compute the virial or the stress, you should use"strain"
gradients instead.\[\left. \frac{\partial \langle q \vert A_i \rangle} {\partial \mathbf{H}} \right |_\mathbf{r}\]
-
uintptr_t gradients_count¶
Size of the
gradients
array
-
bool use_native_system¶
Copy the data from systems into native
SimpleSystem
. This can be faster than having to cross the FFI boundary too often.
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struct rascal_labels_selection_t selected_samples¶
Selection of samples on which to run the computation
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struct rascal_labels_selection_t selected_properties¶
Selection of properties to compute for the samples
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const mts_labels_t *selected_keys¶
Selection for the keys to include in the output. Set this parameter to
NULL
to use the default set of keys, as determined by the calculator. Note that this default set of keys can depend on which systems we are running the calculation on.
-
const char *const *gradients¶
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struct rascal_labels_selection_t¶
Rules to select labels (either samples or properties) on which the user wants to run a calculation
To run the calculation for all possible labels, users should set both fields to NULL.
Public Members
-
const mts_labels_t *subset¶
Select a subset of labels, using the same selection criterion for all keys in the final
mts_tensormap_t
.If the
mts_labels_t
instance contains the same variables as the full set of labels, then only entries from the full set that also appear in this selection will be used.If the
mts_labels_t
instance contains a subset of the variables of the full set of labels, then only entries from the full set which match one of the entry in this selection for all of the selection variable will be used.
-
const mts_tensormap_t *predefined¶
Use a predefined subset of labels, with different entries for different keys of the final
mts_tensormap_t
.For each key, the corresponding labels are fetched out of the
mts_tensormap_t
instance, which must have the same set of keys as the full calculation.
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const mts_labels_t *subset¶