add cord func. Same as Dnumber but for any tensor

web/inbuilt_symbols.js

@@ -9,7 +9,7 @@ export const CONSTANTS = new Set([
 ]);
 
 export const FUNCTIONS = new Set([
-"abs", "acos", "acosh", "all", "angle", "any", "append", "argmax", "argmin", "argsort", "as_nested_tensor", "asin", "asinh", "atan", "atan2", "atanh", "band", "batch_shuffle", "bitcount", "bitwise_and", "bitwise_not", "bitwise_or", "bitwise_xor", "blur", "bnot", "bor", "botk", "botk_ind", "botk_indices", "bxor", "cat", "ceil", "cellular", "cellular_noise", "cielab_to_rgb", "clamp", "cnt", "concat", "concatenate", "conv", "convolution", "corr", "correlation", "cos", "cosh", "cosine_similarity", "cossim", "count", "cov", "crop", "cross", "cubic", "cubic_ease", "cumprod", "cumsum", "diag", "diagonal_matrix", "dilate", "dist", "distance", "domain_warp", "domain_warp_noise", "dot", "edge", "elastic", "elastic_ease", "endswith", "entropy", "erf", "erfinv", "erode", "exp", "ezconv", "ezconvolution", "fft", "find", "flatten", "flip", "float", "floor", "flow_ang", "flow_angle", "flow_apply", "flow_mag", "flow_magnitude", "flow_to_image", "fract", "gamma", "gaussian", "gelu", "get_value", "hist", "histogram", "hsv_to_rgb", "ifft", "int", "int_to_rgb", "interpolate_area", "interpolate_linear", "interpolate_nearest", "interpolate_nearest_exact", "join", "length", "lerp", "linspace", "ln", "log", "logspace", "lower", "map", "matmul", "mean", "median", "mode", "moment", "morph_close", "morph_open", "motion_mask", "nan_to_num", "noise", "now", "nvl", "oklab_to_rgb", "overlay", "pad", "percentile", "perlin", "perlin_noise", "perm", "permute", "pinv", "plasma", "plasma_noise", "popcnt", "popcount", "pow", "prcnt", "print", "print_shape", "pshp", "quantile", "quartil", "quartile", "rand", "randb", "randbeta", "randc", "rande", "randg", "randgumbel", "randchi2", "randl", "randln", "randn", "random_bernoulli", "random_beta", "random_cauchy", "random_exponential", "random_gamma", "random_gumbel", "random_chi2", "random_laplace", "random_log_normal", "random_normal", "random_poisson", "random_studentt", "random_uniform", "random_weibull", "randp", "randt", "randu", "randw", "range", "relu", "remap", "repeat", "replace", "reshape", "rgb_to_cielab", "rgb_to_hsv", "rgb_to_int", "rgb_to_oklab", "ridged", "ridged_noise", "rife", "roll", "round", "rshp", "select", "shape", "shuffle", "sigm", "sign", "sin", "sine", "sine_ease", "singular_value_decomposition", "sinh", "smax", "smin", "smootherstep", "smoothstep", "snorm", "softmax", "softmin", "softplus", "sort", "split", "sqrt", "squeeze", "stack_clear", "stack_get", "stack_has", "stack_pop", "stack_push", "startswith", "std", "step", "substr", "substring", "sum", "svd", "swap", "tan", "tanh", "tensor", "text_image", "timestamp", "tmax", "tmin", "tnorm", "topk", "topk_ind", "topk_indices", "trim", "turbulence", "unique", "unsqueeze", "upper", "var", "voronoi", "voronoi_noise", "where", "worley"
+"abs", "acos", "acosh", "all", "angle", "any", "append", "argmax", "argmin", "argsort", "as_nested_tensor", "asin", "asinh", "atan", "atan2", "atanh", "band", "batch_shuffle", "bitcount", "bitwise_and", "bitwise_not", "bitwise_or", "bitwise_xor", "blur", "bnot", "bor", "botk", "botk_ind", "botk_indices", "bxor", "cat", "ceil", "cellular", "cellular_noise", "cielab_to_rgb", "clamp", "cnt", "concat", "concatenate", "conv", "convolution", "coordinates", "coords", "corr", "correlation", "cos", "cosh", "cosine_similarity", "cossim", "count", "cov", "crop", "cross", "cubic", "cubic_ease", "cumprod", "cumsum", "diag", "diagonal_matrix", "dilate", "dist", "distance", "domain_warp", "domain_warp_noise", "dot", "edge", "elastic", "elastic_ease", "endswith", "entropy", "erf", "erfinv", "erode", "exp", "ezconv", "ezconvolution", "fft", "find", "flatten", "flip", "float", "floor", "flow_ang", "flow_angle", "flow_apply", "flow_mag", "flow_magnitude", "flow_to_image", "fract", "gamma", "gaussian", "gelu", "get_value", "hist", "histogram", "hsv_to_rgb", "ifft", "int", "int_to_rgb", "interpolate_area", "interpolate_linear", "interpolate_nearest", "interpolate_nearest_exact", "join", "length", "lerp", "linspace", "ln", "log", "logspace", "lower", "map", "matmul", "mean", "median", "mode", "moment", "morph_close", "morph_open", "motion_mask", "nan_to_num", "noise", "now", "nvl", "oklab_to_rgb", "overlay", "pad", "percentile", "perlin", "perlin_noise", "perm", "permute", "pinv", "plasma", "plasma_noise", "popcnt", "popcount", "pow", "prcnt", "print", "print_shape", "pshp", "quantile", "quartil", "quartile", "rand", "randb", "randbeta", "randc", "rande", "randg", "randgumbel", "randchi2", "randl", "randln", "randn", "random_bernoulli", "random_beta", "random_cauchy", "random_exponential", "random_gamma", "random_gumbel", "random_chi2", "random_laplace", "random_log_normal", "random_normal", "random_poisson", "random_studentt", "random_uniform", "random_weibull", "randp", "randt", "randu", "randw", "range", "relu", "remap", "repeat", "replace", "reshape", "rgb_to_cielab", "rgb_to_hsv", "rgb_to_int", "rgb_to_oklab", "ridged", "ridged_noise", "rife", "roll", "round", "rshp", "select", "shape", "shuffle", "sigm", "sign", "sin", "sine", "sine_ease", "singular_value_decomposition", "sinh", "smax", "smin", "smootherstep", "smoothstep", "snorm", "softmax", "softmin", "softplus", "sort", "split", "sqrt", "squeeze", "stack_clear", "stack_get", "stack_has", "stack_pop", "stack_push", "startswith", "std", "step", "substr", "substring", "sum", "svd", "swap", "tan", "tanh", "tensor", "text_image", "timestamp", "tmax", "tmin", "tnorm", "topk", "topk_ind", "topk_indices", "trim", "turbulence", "unique", "unsqueeze", "upper", "var", "voronoi", "voronoi_noise", "where", "worley"
 ]);
 
 export const FUNCTION_META = {
@@ -54,6 +54,8 @@ export const FUNCTION_META = {
     concatenate: { minArgs: 2, maxArgs: null, snippet: "concatenate()", description: "concatenate(x1, x2, ..., dim) - concatenates tensors along the specified dimension" },
     conv: { minArgs: 2, maxArgs: null, snippet: "conv()", description: "convolution(tensor, [kernel_sizes...], kernel) - applies convolution with kernel. Expects [batch,channel, ...]" },
     convolution: { minArgs: 2, maxArgs: null, snippet: "convolution()", description: "convolution(tensor, [kernel_sizes...], kernel) - applies convolution with kernel. Expects [batch,channel, ...]" },
+    coordinates: { minArgs: 2, maxArgs: 3, snippet: "coordinates()", description: "coords(shape, dim, [dtype]) - generates a tensor with the specified shape whose values are the coordinates of each element along the specified dimension. The dtype can be specified to control the data type of the output tensor." },
+    coords: { minArgs: 2, maxArgs: 3, snippet: "coords()", description: "coords(shape, dim, [dtype]) - generates a tensor with the specified shape whose values are the coordinates of each element along the specified dimension. The dtype can be specified to control the data type of the output tensor." },
     corr: { minArgs: 2, maxArgs: 2, snippet: "corr()", description: "correlation(x, y) - computes the correlation between x and y" },
     correlation: { minArgs: 2, maxArgs: 2, snippet: "correlation()", description: "correlation(x, y) - computes the correlation between x and y" },
     cos: { minArgs: 1, maxArgs: 1, snippet: "cos()", description: "cos(x) - applies cosinus function to value or each element of value" },