Module: tf_agents.specs.tensor_spec
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Utilities related to TensorSpec class.
Functions
add_outer_dim(...): Adds an outer dimension to the shape of input specs.
add_outer_dims_nest(...): Adds outer dimensions to the shape of input specs.
from_packed_proto(...): Decodes a packed Any proto containing the structured value for the spec.
from_pbtxt_file(...): Loads a spec encoded as a struct_pb2.StructuredValue from a pbtxt file.
from_proto(...): Decodes a struct_pb2.StructuredValue proto into a nested spec.
from_spec(...): Maps the given spec into corresponding TensorSpecs keeping bounds.
is_bounded(...)
is_continuous(...)
is_discrete(...)
remove_outer_dims_nest(...): Removes the specified number of outer dimensions from the input spec nest.
sample_bounded_spec(...): Samples uniformily the given bounded spec.
sample_spec_nest(...): Samples the given nest of specs.
to_array_spec(...): Converts TensorSpec into ArraySpec.
to_nest_array_spec(...): (Deprecated) Alias for to_array_spec.
to_nest_placeholder(...): Converts a nest of TensorSpecs to a nest of matching placeholders.
to_pbtxt_file(...): Saves a spec encoded as a struct_pb2.StructuredValue in a pbtxt file.
to_placeholder(...): Creates a placeholder from TensorSpec.
to_placeholder_with_default(...): Creates a placeholder from TensorSpec.
to_proto(...): Encodes a nested spec into a struct_pb2.StructuredValue proto.
with_dtype(...): Updates dtypes of all specs in the input spec.
zero_spec_nest(...): Create zero tensors for a given spec.
Other Members |
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absolute_import
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Instance of __future__._Feature
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division
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Instance of __future__._Feature
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print_function
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Instance of __future__._Feature
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# Module: tf_agents.specs.tensor_spec\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/agents/blob/v0.19.0/tf_agents/specs/tensor_spec.py) |\n\nUtilities related to TensorSpec class.\n\nFunctions\n---------\n\n[`add_outer_dim(...)`](../../tf_agents/specs/tensor_spec/add_outer_dim): Adds an outer dimension to the shape of input specs.\n\n[`add_outer_dims_nest(...)`](../../tf_agents/specs/tensor_spec/add_outer_dims_nest): Adds outer dimensions to the shape of input specs.\n\n[`from_packed_proto(...)`](../../tf_agents/specs/tensor_spec/from_packed_proto): Decodes a packed Any proto containing the structured value for the spec.\n\n[`from_pbtxt_file(...)`](../../tf_agents/specs/tensor_spec/from_pbtxt_file): Loads a spec encoded as a struct_pb2.StructuredValue from a pbtxt file.\n\n[`from_proto(...)`](../../tf_agents/specs/tensor_spec/from_proto): Decodes a struct_pb2.StructuredValue proto into a nested spec.\n\n[`from_spec(...)`](../../tf_agents/specs/from_spec): Maps the given spec into corresponding TensorSpecs keeping bounds.\n\n[`is_bounded(...)`](../../tf_agents/specs/is_bounded)\n\n[`is_continuous(...)`](../../tf_agents/specs/is_continuous)\n\n[`is_discrete(...)`](../../tf_agents/specs/is_discrete)\n\n[`remove_outer_dims_nest(...)`](../../tf_agents/specs/tensor_spec/remove_outer_dims_nest): Removes the specified number of outer dimensions from the input spec nest.\n\n[`sample_bounded_spec(...)`](../../tf_agents/specs/tensor_spec/sample_bounded_spec): Samples uniformily the given bounded spec.\n\n[`sample_spec_nest(...)`](../../tf_agents/specs/sample_spec_nest): Samples the given nest of specs.\n\n[`to_array_spec(...)`](../../tf_agents/specs/tensor_spec/to_array_spec): Converts TensorSpec into ArraySpec.\n\n[`to_nest_array_spec(...)`](../../tf_agents/specs/tensor_spec/to_nest_array_spec): (Deprecated) Alias for `to_array_spec`.\n\n[`to_nest_placeholder(...)`](../../tf_agents/specs/tensor_spec/to_nest_placeholder): Converts a nest of TensorSpecs to a nest of matching placeholders.\n\n[`to_pbtxt_file(...)`](../../tf_agents/specs/tensor_spec/to_pbtxt_file): Saves a spec encoded as a struct_pb2.StructuredValue in a pbtxt file.\n\n[`to_placeholder(...)`](../../tf_agents/specs/tensor_spec/to_placeholder): Creates a placeholder from TensorSpec.\n\n[`to_placeholder_with_default(...)`](../../tf_agents/specs/tensor_spec/to_placeholder_with_default): Creates a placeholder from TensorSpec.\n\n[`to_proto(...)`](../../tf_agents/specs/tensor_spec/to_proto): Encodes a nested spec into a struct_pb2.StructuredValue proto.\n\n[`with_dtype(...)`](../../tf_agents/specs/tensor_spec/with_dtype): Updates dtypes of all specs in the input spec.\n\n[`zero_spec_nest(...)`](../../tf_agents/specs/zero_spec_nest): Create zero tensors for a given spec.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Other Members ------------- ||\n|-----------------|-----------------------------------|\n| absolute_import | Instance of `__future__._Feature` |\n| division | Instance of `__future__._Feature` |\n| print_function | Instance of `__future__._Feature` |\n\n\u003cbr /\u003e"]]
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