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tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_without_identity.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_without_identity_4bit.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.8K bytes - Viewed (0) -
tensorflow/c/tf_tensor.cc
return CreateTensor(buf, dtype, dims, num_dims, len); } TF_Tensor* TF_NewTensor(TF_DataType dtype, const int64_t* dims, int num_dims, void* data, size_t len, void (*deallocator)(void* data, size_t len, void* arg), void* deallocator_arg) { TF_ManagedBuffer* buf = nullptr; if (dtype != TF_STRING && dtype != TF_RESOURCE &&
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Apr 14 21:57:32 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test_base.py
out = math_ops.select(condition, out, ones) elif self.same_scale_op == 'slice': begin = array_ops.zeros((array_ops.rank(out)), dtype=dtypes.int32) size = array_ops.ones((array_ops.rank(out)), dtype=dtypes.int32) out = array_ops.slice(out, begin, size) elif self.same_scale_op == 'transpose': out = array_ops.transpose(out) else:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 18.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel_4bit.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/convert_tensor.cc
return mlir::TF::ShapeAttr::get(type.getContext(), tensor_type.getShape()); } // If type is not a RankedTensor or UnrankedTensor, it must be a scalar. // Empty TensorShape indicates a scalar. return mlir::TF::ShapeAttr::get(type.getContext(), ArrayRef<int64_t>()); } absl::StatusOr<TensorSpecProto> ConvertTypeToTensorSpecProto( const mlir::Type& type) { DataType dtype;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 20.5K bytes - Viewed (0) -
tensorflow/c/kernels_experimental.cc
AllocatorAttributes attr; if (cc_input.dtype() == ::tensorflow::DT_VARIANT) { attr.set_on_host(true); } TF_RETURN_IF_ERROR(cc_ctx->allocate_temp(cc_input.dtype(), cc_input.shape(), cc_out, attr)); switch (cc_input.dtype()) { case ::tensorflow::DT_INVALID: { *cc_out = Tensor(::tensorflow::DT_INVALID);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 06:12:29 UTC 2024 - 30.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/mlir_roundtrip_flags.cc
absl::StrSplit(type, absl::ByAnyChar("()")); // If type has subtypes then parts[0] = type, parts[1] = subtypes, // parts[2] = "" if (parts.size() != 3 && parts.size() != 1) { return errors::InvalidArgument("Invalid type '", type, "'"); } else if (parts.size() == 3) { // First part is the type, second is the subtype ArrayInfo::SubTypeInfo subtype;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 10.4K bytes - Viewed (0) -
tensorflow/compiler/jit/shape_inference.cc
DataType dtype = n->output_type(0); AddNodeAttr("dtype", dtype, &const_def); TensorProto value; value.set_dtype(dtype); value.mutable_tensor_shape()->add_dim()->set_size( shape_proto.dim_size()); for (const auto& dim : shape_proto.dim()) { if (dtype == DT_INT32) { value.add_int_val(dim.size());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 00:41:19 UTC 2024 - 13K bytes - Viewed (0)